Everyday AI Podcast – An AI and ChatGPT Podcast

The AI gap will kill companies.What is it? it's the large divide between AI's crazy impressive capabilities and what most companies are actually using them for. And one of the biggest reasons for the AI gap? Talking. Like... no one understands how to talk about AI because the technology changes faster than Usain Bolt in Beijing. You wanna talk to your AI team about LLMs? PFT. They're running Ralph Wiggum loops in Claude Code and just kinda reading the code before it hits production. Yeah, the divide is WIIIIIDE. So we're gonna tackle it together on the second volume of our Starter Series: AI Without the Jargon: The AI Language Every Business Leader Needs to live by in 2026 -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:AI Jargon Barrier for Business LeadersGenerative AI Basics and Lingo BreakdownChatGPT, Claude, and Gemini Model ComparisonUnderstanding Tokens and Context WindowsLarge Language Models: Prompt to OutcomeParameters, Model Power, and Cost ImplicationsRetrieval Augmented Generation (RAG) ExplainedEmbeddings, Vector Databases, and ChunkingAgentic Models vs. Transformer ModelsAI Risks: Hallucinations, Prompt Injection, GuardrailsModel Context Protocol (MCP) and ConnectorsScaffolding for Complex AI WorkflowsAI Success: ROI, Risk, and Implementation StrategiesTimestamps:00:00 "Join Start Here Series Community"03:21 Bridging AI and Business Leaders09:35 Partnering for Generative AI Success12:26 "AI Models Operate Using Tokens"15:41 "Shift to Smaller AI Models"18:56 "Understanding RAG and Its Impact"22:38 "AI Tools Connecting via MCP"24:56 "Minimizing AI Hallucinations Effectively"28:45 "Fast, Careful AI Implementation"30:53 "AI Guide for Business Leaders"Keywords: AI language, AI jargon, artificial intelligence terminology, AI lingo, large language model, generative AI, prompt engineering, context engineering, context window, tokens, tokenization, model architecture, model parameters, neural network connections, Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Have you ever felt overwhelmed by AI? Like…. There’s certain aspects of Artificial intelligence that you barely understand to begin with, yet you’re expected to use it AND it’s changing every day? I understand where you’re coming from. It’s literally my only job to use, build with and teach AI every day and that’s all I’ve done now for 3 years, and even I find it hard to keep up. But don’t worry. That’s where the ‘Start Here Series’ comes into play. If one of your focuses is better understanding AI in 2026 or if you're an expert looking to double down, this Start Here Series is for you. In our first volume, we're going back to the basics. Generative AI: How it works and why it matters in 2026 more than ever -- An Everyday AI Chat. with Jordan Wilson.Other Start Here Series EpisodesEp 691: Generative AI: How it works and why it matters in 2026 more than ever (Start Here Series Vol 1)(In the future, we'll update with other 'Start Here Series' episodes)Start Here Series Community Sign up: Follow the Start Here Series with free access to our Inner Circle CommunityMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Generative AI Basics and 2026 ImpactExplosive Growth of Large Language ModelsAI Adoption Rates in EnterprisesAI Agents and Operating Systems OverviewHistory and Evolution of Artificial IntelligenceTransformer Architecture and Model BreakthroughsHow Large Language Models WorkModern AI Capabilities: Multimodal ToolsQuantifying ROI for Generative AI InvestmentWorkforce Disruption and Future Job TrendsScaling AI: From Pilot to Enterprise-WideUrgency for AI Upskilling and Competitive AdvantageTimestamps:00:00 "Start Here: AI Guide Series"04:10 "Join Our Free Community"09:17 "AI Operating Systems for Businesses"11:05 "Partner with Everyday AI"13:00 "AI Evolution Over Decades"16:34 "ChatGPT's Transformative Impact"22:17 "Generative AI and Memory Evolution"26:03 "AI Delivers Exponential ROI"29:59 "AI Demand Surges, Hiring Drops"32:15 "AI Transforming CRMs Rapidly"35:01 "AI Fluency Demands Urgency"Keywords:Generative AI, artificial intelligence, large language models, transformer architecture, GPT, ChatGPT, Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

ChatGPT can do what now? 😱This week's AI updates were low key bangers and under-the-radar model releases. ChatGPT's latest update allows it to remember and recall anything you've done on your computer. Google's Gemini Flash is actually fast AND cheap again. And a lot smarter. And Anthropic is bringing a bit more power to its Claude Chrome extension. If you take a week off from your favorite AI tools, you might come back and feel kinda lost. That's what our AI Friday Features show tackles: the latest updates that are available today to immediately upgrade your work. ChatGPT Computer History, New Gemini Model, Claude Flexes on the Browser and 7 more AI updates you should use Today -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Gemini 3.7 Flash Price and Speed DropGemini Spark Coding Agent ImprovementsGLM 5.3 Coding Model Cybersecurity BenchmarkGLM 5.3 Open Weights Release TimelineGrok 4.6 Model vs GPT-5.6 PerformanceGrok 4.6 in Cursor and Developer AccessGoogle Sheets Canvas Interactive Dashboard FeatureClaude CoWork Chrome Browser IntegrationClaude CoWork Sync and Web AutomationChatGPT Ultra Fast API Speed Tier LaunchChatGPT Cerebras Chip Partnership DetailsChatGPT & Codex Computer History for MacComputer History Workflow Completion AutomationTimestamps:00:00 Rapid AI advancements and price drops06:06 Introducing Gemini 3.7 Flash09:24 GLM 5.3 model updates13:02 Improvements in Chinese AI models16:11 GROC 4.6 impact on pricing18:51 Google Sheets app feature overview22:40 Claude Cowork Chrome extension features23:33 Using Claude Cowork Chrome extension26:48 Discussing AI speed improvements31:18 Reusing skills and saving tokens34:29 30-day AI learning seriesKeywords: Gemini 3.7 Flash, Google Gemini, AI model, fastest AI model, cheapest AI model, artificial analysis, model filter, coding agents, API pricing, Gemini Spark, Google AI Studio, Android Studio, Gemini enterprise platform, open source AI, ZAI GLM 5.3, coding model, cybersecurity benchmarks, CyberGym, GLM coding plan, open weights release, Codex, Claude code, Claude Cowork, Chrome extension, browser automation, ChatGPT desktop app, computer history feature, skill suggestion, workflow automation, token usage, privacy controls, Mac integration, API speed tier, Cerebras partnership, ultra fast AI, GPD 5.6 Soul, agentic workflows, Google Sheets canvas, interactive dashboards, data sync, business intelligence, live artifacts, connectivity integrations, workflow optimization, cursor acquisition, Grok 4.6, SpaceX AI, software engineering, output tokensSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

The next 12 months of AI leaked. Kinda. For the past 90ish days, we've been quietly collecting evidence of what's next.1,030 saved posts. 90 Podcasts. Countless conversations. Every model drop, every leak, every quiet product update the big labs hoped you'd scroll past.Then we connected the dots.What came out the other side: 19 calls on where AI goes over the next 12 months. And some of them are uncomfortable.We're walking through all 19. Bring your team's AI roadmap. You'll want to edit it. 👇The Next 12 months of AI: 19 Predictions Every Business Leader Needs to Hear -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Reactive Chat Dies, Proactive AI Agents RiseVoice and Mobile Become AI Default InterfaceManager Threads Replace One-Off AI ChatsMultiplayer AI: Humans and Agents CollaborateCompany-Wide Vibe Operations with ChatGPT SitesAgent Native Workflows and Resources StandardizationSkill Reuse as Key Company MetricCompany Reasoning Data as Strategic GoldShift from Public Leaderboards to Private EvalsModel Routing Becomes AI Industry NormCheaper AI Intelligence, Anthropic Competition HeatsFortune 100 AI Token Spend EfficiencyCompute Power as New AI CurrencyLocalized AI Controversies and Election DeepfakesMainstream AI Backlash and Content DetectionMath Benchmarks Solved by Advanced AIToken Maxing Returns with Cost DeclineOpen Agents Crash Risks and CybersecurityRecursive Self Improvement (RSI) in AI DevelopmentTimestamps:00:00 Starting the AI 101 series03:35 Yearly AI predictions roundup07:54 Using full duplex AI assistants09:45 Talking vs. Typing to AI13:45 Breaking down AI silos19:03 Turning processes agent-native22:32 Skill development and reuse in AI24:09 Bringing Slack DMs into Channels29:46 Dealing with AI usage limits30:45 AI startups revolutionizing knowledge work35:46 AI strategy in Fortune 500 companies40:11 AI impact on local politics41:58 Concerns Over AI Watermarking46:52 Experiencing token budget challenges51:05 Sergey Brin prioritizes RSI at Google52:06 Discussing AI model improvements55:24 Closing and subscription reminderKeywords: AI predictions, AI trends, business AI strategy, proactive AI agents, reactive chat, AI operating systems, ChatGPT, Claude, Grokbot, voice and mobile AI control, full duplex agent, AI skills, skill reuse, manager threads, multiplayer AI, agent native, company reasoning data, private AI benchmarks, public leaderboards, private evals, model routing, AI token spend, open source models, compute scarcity, hardware scarcity, AI controversies, local AI data centers, AI deepfakes, AI backlash, AI content detectors, AI in politics, math solved by AI, token maxing, cyber defense, open agents, cybersecurity budget, recursive self improvement, RSI, Fortune 100 AI usage, AI workforce transformation, dashboard automation, AI for dashboards, no-code AI apps, business intelligence AI, automation skills, agent crashes, model overhang, vendor lock in, AI-powered cyberattacks, AI-driven skill creation, AI-enabled workflows, token efficiency, AI local hosting, cost-effective AI models, enterprise AI adoption, AI asset management, company AI metrics.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Scheduled tasks are a secret weapon. ⚔️How secret? They can actually be hard to find and there's not a lot of info out there on how to use them. lolz. But for many, they can be the stepping stone to the fully autonomous desktop worker. Because for many users who may only be able (or comfortable) to access AI on the web, scheduled tasks provide that proactive, work-done-for-you vibe that AI agents delivered. But how does it work in Gemini, ChatGPT and Claude? And what's worth scheduling and automating? We put AI to work on this Wednesday and find out. Scheduling AI: how to easily make AI work for you in Claude, Gemini and ChatGPT -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Introduction to Scheduling Tasks in AIGoogle Gemini Scheduled Actions OverviewChatGPT Scheduled Tasks Features & HacksChatGPT Work Mode and Virtual BrowserClaude Scheduled Tasks vs. Routines ComparisonUsing API Triggers with Claude Code RoutinesReal-World AI Dashboard Scheduling TestDetailed Results: Gemini vs. Claude vs. ChatGPTKey Takeaways for Best Automated SchedulingPractical Use Cases for Scheduling AI TasksTimestamps:00:00 Using scheduled tasks effectively06:00 Adopting AI for productivity06:51 Discussing main AI platforms12:45 Scheduling tasks with ChatGPT14:38 Work mode and virtual browsing17:58 Creating and Editing Scheduled Tasks22:47 Using Claude's cloud routines26:59 Creating interactive stock visuals27:51 Tracking AI company stock trends31:58 Reviewing AI stock tracking tool35:35 Improving user interface and experience39:23 ChatGPT's unique scheduling features41:49 Using APIs in Claude routines44:45 Dashboard automation and triage setupKeywords: AI scheduling, scheduling AI, scheduled tasks, scheduled actions, proactive agentic workflow, agentic adoption, agent built workflow, Google Gemini, Gemini scheduled actions, Gemini connectors, Gemini canvas mode, ChatGPT scheduling, ChatGPT scheduled tasks, ChatGPT work mode, ChatGPT projects, ChatGPT memory, ChatGPT sites, agentic app actions, model selector, reasoning level, app automation, connectors and skills, OpenAI, Claude scheduling, Claude scheduled tasks, Claude routines, Claude code, Claude co work, Claude home, Claude API token, Zapier integration, trigger-based automation, custom dashboards, triage dashboard, interactive visual, stock price dashboard, news summarization, personalized automation, user interface changes, web interfaces, desktop agents, repetitive tasks automation, business process automation, workflow optimization, productivity AI tools, AI-powered research, CRM integration, KPI trackingSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

If you’re reading the headlines, you’d think AI agents have gone rogue. Spoiler alert: they haven’t. They haven’t even gotten started. When we think about AI agents, the conversation usually goes to increasing revenue, saving time, etc. But we don’t talk about what happens when bad actors use AI agents for bad purposes, or when we deploy agents with good intentions that crash through their guardrails. Welp….. welcome to the hottest topic for the rest of 2026. Rogue AI agents. So why is this all happening now? And what should your business do about it? Tune in to find out. Rogue AI Agents: Why Breakouts are Happening More and How Companies Should Prepare - An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Rogue AI Agent Breakouts OverviewLab Sandbox vs. Real-World Agent CrashesSix Recent AI Agent Outbreak IncidentsOpenAI Model Hacking Hugging Face ExplainedAnthropic Mythos Model Sandbox EscapeControlled AI Agent Experiments and FailuresOpen Source AI Agents Threat TimelineBusiness Risk Preparation for Rogue AI AgentsMonday Morning AI Agent Safety PlaybookTimestamps:00:00 Preparing for AI agent disruption04:53 AI agent challenges comparison10:17 Discussing AI Guardrails and Access12:07 AI threats and security concerns15:37 AI alignment challenges with ethics19:04 Security vulnerabilities in AI models21:32 Agent outbreak and hacking drills25:04 OpenAI Hugging Face incident30:49 AI agents and cybersecurity risks33:30 Concerns about open AI models35:23 Future AI security challenges40:19 Managing agent access levels42:06 Preparing for AI agent oversightKeywords: rogue AI agents, AI agent crash, AI breakout, autonomous agents, open source AI models, agent containment, sandbox escape, AI guardrails, AI agent apocalypse, AI alignment, hacking drills, AI model capabilities, agent replication, AI subagents, cyber security, OpenAI, Anthropic, Mythos model, Fable model, Kimmy K3, Moonshot AI, Hugging Face breach, AI agent vulnerability, AI Safety Institute, model postmortem, agent misalignment, agent permissions, CRM exploit, code base security, business finance AI risk, agent observability, traceability, remote kill switch, agent attack, AI defender, spam-level AI attacks, API vulnerabilities, permission escalation, benchmarking, AI agent incident, agent-driven automation, agent crash prevention, agent operational oversight, cybersecurity exploitSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

AI agents crashing. 😱New models dropping. 🆕White House AI regulations? Kind of? 🤷Another doozy of a week in AI News. If you missed anything, we'll get you caught up quickly so you can focus on what matters. AI Agent outbreaks intensify, OpenAI upgrades free AI use, White House unveils AI testing policy and more AI News That MattersNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:OpenAI and Anthropic AI Agent OutbreaksUK AI Security Test Cyberattack IncidentOpenAI Astra Model Cybersecurity RisksGoogle AI Leadership Shakeup and ImpactWhite House Frontier AI Model Testing PolicyMeta Muse Code Terminal AI Agent LaunchMeta Muse Spark 1.2 Coding Model BenchmarksOpenAI GPT-5.6 Luna Free Unlimited AccessMajor AI Model Price Reductions AnnouncedAnthropic, Meta, and Kimmy K3 Containment EventsByteDance 10 Trillion Parameter Model LeakPerplexity Wins Appellate Court Against AmazonAdobe Creative Cloud ChatGPT Plugin IntegrationCloudflare Open Sources Internal AI WorkspaceTimestamps:00:00 AI security breach in the UK05:48 Astra's cyber threat capabilities09:30 OpenAI's upcoming model release11:50 Google leadership changes impact stock15:02 AI model review and restrictions19:42 Meta's Muse Spark 1.2 capabilities22:34 Meta's new market strategy25:15 New GPT 5.6 Luna model released30:59 AI alliances and transparency updates32:58 Latest AI and tech updatesKeywords: AI agents, AI agent outbreaks, autonomous AI, agent containment, agentic AI, agentic coding, AI cybersecurity, AI cyber attacks, OpenAI, Anthropic, Meta, Google's Gemini, Google DeepMind, Jeff Dean, Demis Hassabis, Frontier AI models, AI safety, AI regulations, White House AI framework, national security AI, AI model benchmarking, Astra model, GPT-5.6 Sol, GPT-5.6 Luna, GPT-6, GPT-5.7, Project Glasswing, Fable model, Mythos 5, Opus 5, Kimmy K3, Muse Code, Muse Spark 1.2, command line AI agent, terminal-based AI, pricing strategy, contributor tier, open source AI, open weight models, executive order, cybersecurity risk, secure AI deployment, AI governance, Gemini Notebook, AI alliances, Adobe AI plugin, text-based AI chat, unlimited AI access, API pricing, AI infrastructure, Nvidia partnership, ByteDance AI, Mini Max H3, AI video model, perplexity, cloud code, AI workspace, agent plugins, Grok Imagine Image 2.0, EU AI Act transparency, insider risk investigator, TerraFAB project, SpaceX AI, Tesla AI, Microsoft Windows MAI models, industry shakeup, AI leadership changes, market competition AI, AI developer tools.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Free AI users rejoice: there’s finally unlimited, free frontier AI. 🤯(That doesn’t require like a $50k machine to run.) That’s because OpenAI just updated its GPT-5.6 model and with the update, it made GPT-5.6 Luna available to free users without limits. And that wasn't the only big win this week for free and cheap AI. From open weight models and an Open Agent Plugin standard to Meta's new pricing structure and coding harness, we saw a lot of new AI features this week. Here's the 7 you should be using today. Updated GPT-5.6, A new Cheap Meta Model, Qwen 3.8 released and impressive and 7 more AI updates you can use todayNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:GPT-5.6 Luna Free Unlimited AccessMeta Muse Code Contributor Pricing ExplainedAlibaba Qwen 3.8 Max Model ReleaseAdobe Unified Plugin Updates for ChatGPTCloudflare OS Open Source AI WorkspaceOpen Agent Plugin Standard LaunchedMinimax H3 Open Weights Video ModelGemini Notebook Agentic Features ExpandedGPT-5.6 Soul Model Update & ComparisonTimestamps:00:00 OpenAI unveils free GPT 5.604:06 Adobe integration with ChatGPT08:05 Introducing MetaSpark's new features12:31 Using Alibaba Cloud for APIs14:00 27B Model for Large Enterprises16:32 Introduction of Gemini notebook features19:50 Discussing AI technology updates24:46 Cloudflare OS open source release27:37 Mini Max AI video model overview30:44 Election impact and access issues33:45 Anthropic's recent challenges36:59 Closing and subscription reminderKeywords: GPT-5.6, OpenAI, free AI plan, GPT-5.6 Luna, unlimited AI use, Meta Muse, Spark 1.2, Muse Code, contributor tier, Meta AI, terminal coding agent, coding agent, cheap AI model, Alibaba, Qwen 3.8 Max, open weights model, million token context window, text to video, open source AI, agent orchestration, agent plugins, plugin JSON standard, Gemini Notebook, Gemini 3.5 Pro, Google AI update, agentic notebook, code interpreter, artificial analysis rankings, MiniMax H3, open video model, AI video generator, text to video, image to video, multimodal context, Cloudflare OS, open source agent platform, AI workspace, API pricing, frontier models, token pricing, persistent background subagents, model fine-tuning, AI skill packages, Anthropic, Claude Opus, Claude Fable, AI desktop agent, SaaS alternatives, AI election riskSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

"How do you use AI every day?" 🤔One of the most common questions I get. And TBH, it's been hard to give a straight answer. Because by the time I've collected all the info, something changes. But over the last few months -- as work goes from the web to desktop -- my personal workflows have steadied and stayed consistent. So I'm taking you inside Everyday AI and the 9 AI tools and workflows I use the most. Hundreds of AI tools and modes a year. Thousands of hours. All boiled into one episode. Inside Everyday AI: My 9 most Used AI Tools and Workflows -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Codex AI Agent Workflow OverviewTop Nine AI Tools and WorkflowsThird Shift AI Stats AutomationAI-Powered Communication Triage AgentsCustom ChatGPT Sites for WorkflowParrot Dictation Local App BuildEpisode Planning with Gemini and CodexFrontend Design Using Claude, Stitch, GPT ImageGemini Notebook Deep Research UseCodex AI Skill Building and AutomationChatGPT Voice Remote Desktop ControlTimestamps:00:00 Everyday AI tools and workflows05:54 Nontechnical AI user insights07:46 Agent control and coworking insights12:34 Automating daily metrics analysis13:26 Analyzing Show Popularity and Trends17:10 Using AI for email management20:58 Design criteria for app features25:16 Automating YouTube video summaries28:29 Building Personal Project Apps32:25 Interactive learning with Gemini notebook33:14 Preparing for big shows36:58 Experimenting with new technology40:06 Using ChatGPT for productivity43:05 Exploring AI Tools and WorkflowsKeywords: AI tools, AI workflows, codex, ChatGPT, Claude, Gemini, desktop agents, agentic desktop, AI models, OpenAI, Anthropic, Cursor, computer use, browser control, Chrome extension, sub agents, goal mode, plan mode, Cloud Code, Cloud Code Work, benchmark stats, podcast downloads analytics, newsletter A/B testing, LinkedIn inbox automation, comms triage agent, skills automation, custom AI skills, plug-in creation, scheduled tasks, app design with AI, Claude Design, Google Stitch, GPT Image, front-end AI design, local dictation LLM, Parrot app, speech to text, YouTube transcription automation, CRM with ChatGPT sites, iMessage automation, teamwork sharing via AI, notebook study, Gemini Notebook, deep research, sentiment analysis, MCP server, Agent MD, AI-powered remote desktop, ChatGPT Voice, full duplex AI interaction, AI-powered productivity, knowledge work automation, AI project orchestration, AI-powered slide deck, automated reports, personalized apps with AI, AI-driven content planning, throwaway apps, AI-driven bullet point summaries, AI for business leaders, agent control, automated LinkedIn messaging, CastMagic, StreamYard integration, Canva automationSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Not only does NotebookLM have a new name, it's got a new game. Gemini Notebook is agentic by default, can think and reason, and can output files now in just about any format. On this week's AI at Work on Wednesday, we show you the 7 New Updates in the new Gemini Notebook, how they work, and how you should use them. Gemini Notebook: 7 New Updates and What They Unlock -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Gemini Notebook Rebrand from NotebookLMSeven Major Gemini Notebook Feature UpdatesCollections for Organizing AI NotebooksAutomatic Google Drive Sync IntegrationExpanded Gemini Notebook Output FormatsAgentic Intelligence and Gemini 3.5 UpgradeSecure Cloud Computing for Each NotebookGrounded Data Responses and Web ResearchHands-On Demo: Real-World Enterprise Use CasesStudio Outputs: Infographics, Mind Maps, QuizzesMulti-Modal Asset Creation in Gemini NotebookKey Differences: NotebookLM vs. Gemini NotebookTimestamps:00:00 Gemini notebook updates released03:12 Gemini notebook new updates08:14 Notebook LM's unique features13:02 Using Gemini notebook prompts14:48 Discussing Gemini notebook features18:01 Enhanced Gemini notebook flexibility23:02 Creating quizzes with Gemini notebook26:30 Limitations of AI-generated responses29:04 Gemini notebook's new capabilities30:51 Episode wrap-up and subscription pitchKeywords: Gemini Notebook, Gemini notebooks, NotebookLM, Notebook LM, Google Gemini, AI updates, Gemini 3.5, anti gravity agentic search, Google Drive syncing, cloud computer, agentic intelligence, AI agent, secured cloud sandbox, personalized AI, output formats, PDFs, PNGs, documents, spreadsheets, PowerPoints, markdown files, charts, images, live demo, long form content, content grounding, hallucination reduction, source pane, chat pane, studio pane, multimedia assets, Nano Banana, Google's audio model, cinematic video, Google's VO model, chain of thought, skill creation, codex skill, browser control, agentic harness, pricing evidence, Luna and Terra pricing, sensitivity analysis, recommendation dashboard, AI budget calculator, mind map, infographics, quizzes, RSI maturity ladder, recursive self improvement, executive decision brief, Excel calculator, agentic workflows, web search integration, grounded AI, model architecture, frontend models, tiered architecture, adaptability to price reductions, vendor risk, human review time, latency, agentic co-worker, artifact creation, editable Excel workbook, multi-output prompting, token efficiency.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Intelligence too cheap to meter -- could that actually be coming? 🤑Maybe, and you mighta missed one of the biggest signs.  OpenAI said that its own model improved itself after release so well, that it was cutting prices to one model by 80%. What's that mean? Well, by definition, it's a broad example of Recursive Self Improvement, or when a model starts building better versions of itself. And over the past 8 weeks, RSI has gone from a science fiction future to an actual, near-term reality. So what happened and what changed? And what does it mean for your company? We break it all down. RSI Explained: When AI Starts Improving Itself and What It Means -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:OpenAI's GPT-5.6 Soul Self-ImprovementRecursive Self-Improvement (RSI) Definition & ImpactCutting AI Model Costs by 80%Timeline Acceleration for RSI AdoptionGoogle and Anthropic's RSI Research InitiativesAI Automation: Building and Training AI ModelsIndustry Call for Slowing Down AI PaceSuperintelligence, AGI, and the Singularity DiscussionPractical Implications of RSI for BusinessesSecurity and Oversight Concerns with Self-Improving AITimestamps:00:00 AI self-improvement and price cuts06:33 AI startup funding and regulation concerns09:14 AI misconceptions and public disconnect11:29 Advancements in AI self-improvement16:16 Development of AI Models21:07 Sam Altman on reaching singularity23:04 Entering the AI singularity era26:37 Advancements in AI models30:43 China's advancements in AI models34:24 AI self-improvement and containment issues37:01 Planning for AI cost reduction40:00 AI controlling other AIs with GBD 5.642:46 Closing and subscription reminderKeywords: Recursive self improvement, RSI, AI self-improvement, AI improves itself, agentic AI, token efficiency, token maxing, OpenAI, GPT-5.6 Soul, Luna model, AI cost reduction, post-training, AI automation, automated AI researcher, Anthropic, Claude Code, Codex, Google DeepMind, AGI, Artificial General Intelligence, Superintelligence, Artificial Superintelligence, ASI, Singularity, Sam Altman, AI acceleration, AI research automation, Frontier Labs, Pacing the Frontier, AWS compute deal, capital expenditures, data centers, CapEx, model distillation, small language models, AI capabilities, AI benchmarks, model variants, model efficiency, AI safety, technology acceleration, AI containment, AI security, open source AI, AI deployment, technology disruption, modular AI systems, price reduction AI, AI industry, AI timeline, human oversight AI, AI risk management, AI regulation.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

OpenAI has a new model coming soon called Astra. Was it a leak? A reddit post? Some backdoor update? Nope, OpenAI made some crazy discoveries and math then told the world that their next model family Astra did the heavy lifting. (And you thought you could just click ‘Sol’ and your strategy was set for Q3?) Aside from news on what’s next from OpenAI, this week saw multiple new agent outbreaks, AI competitors banning together to pace AI, Amazon doing a 180 on its AI strategy and a lot more. Don’t get left behind. We’ll keep you ahead. OpenAI’s new Astra model, more AI agents escape sandboxes, AI leaders call for AI pacing and more. AI News That Matters for August 3 — An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:OpenAI Agents Escape Sandboxes IncidentAnthropic Claude Models Security BreachesAI Agents Breaking Cybersecurity GuardrailsOpenAI GPT-5.6 Price Cuts & Self-OptimizationRecursive Self-Improvement in AI ModelsAI Leaders Urge AI Development PacingUS, China, and International AI GovernanceAmazon Nova AI Models Shutdown StrategyOpenAI Astra Model Math BreakthroughNew AI Models: Fable, Astra, DeepSeek v4 FlashEnterprise AI Agents and Cybersecurity UpdatesGoogle Gemini Robotics, Music, and Agent ReleasesMeta, Microsoft, and AWS AI Infrastructure MovesOpenAI Free Frontier Tools for ResearchersBlock's Buzz Open Source AI Workspace LaunchTimestamps:00:00 OpenAI agent containment issues04:27 Anthropic data breach explanation07:28 Evaluating AI incidents and responses10:14 OpenAI slashes GPT 5.6 prices15:59 AI industry urges development pause17:45 Concerns about AI self-improvement22:36 Amazon shifts AI strategy25:04 Amazon's AI efforts discussion28:00 OpenAI's Astra and new math proofs30:36 OpenAI's new four-tier system36:14 Google's Lyria 3.5 and Block's Buzz36:48 Latest AI developments overviewKeywords: Astra model, OpenAI, AI agents, agent escape, sandbox containment, autonomous AI, Hugging Face breach, Anthropic, Claude AI, cybersecurity testing, unauthorized access, model capabilities, recursive self-improvement, GPT-5.6, price cut, Luna model, Terra model, Sol model, input tokens, output tokens, AI infrastructure optimization, self-improving models, benchmarking, SONNET-5, large language models, artificial analysis index, codex, academic research, AI oversight, industry pause, AI governance, national security, China open-source models, Frontier Labs, Amazon Nova, AGI Lab, AWS, Peter DeSantis, Peter Abbeel, media coverage, Fable model, Haiku, Opus, DeepSeek, Kimi K3, Quinn 3.8, GLM 5.2, Google Gemini 3.5, Microsoft Copilot, cybersecurity vulnerabilities, distillation, model overhang, artificial intelligence development, international AI regulation, generative AI, model benchmarking, Sora video model, El Paso data center, MCP update, MAI Cyber One Flash, Project Perception, Lyria 3.5, music generation, Buzz open source, Block, Meta AI, Chrome Gemini integration, Gemini Spark, product summary algorithms, Rufus, enterprise AI, stateless core, model scaling, advanced math problems, sphere packing, federal policy, voluntary AI commitments.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Google didn't ship its big model, but they shipped a TON of new useful AI you can use today. And Google wasn't the only company updating their features behind the scenes. Replit is bringin vibe designing, ChatGPT got a lot more useful on the web, and Meta is changing from chatbot to agent. We'll get you caught up quickly. Chrome adds Some Gemini Spark, Replit Design makes impact, Buzz brings AI Agent Teamwork and 7 more AI Features you Should use Today -- an Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Replit Design Suite Launches With Free MobbinChatGPT Chrome Extension Adds YouTube SummarizationChatGPT Side Chat Integrates Tabs and Highlighted TextMeta AI Rolls Out Recurring Agent TasksGoogle Gemini Generates Images in Google DocsGemini AI Summarizes Comments, Edits in DocsGoogle Gemini Spark Agent Arrives in ChromeChrome Agent Uses Saved Accounts and PasswordsGoogle Lyria 3.5 Music Model ReleasedBuzz by Block Unites Team and Agent CollaborationTimestamps:00:00 Recent AI updates and developments05:01 Creating with Replit and AI models09:42 Real-time research tracking benefits10:34 Meta AI new recurring features13:35 New features of Meta AI17:53 Google Spark integrates with Chrome22:09 Google DeepMind's new music model25:25 Buzz from Block messaging tool29:42 Building a collaborative platform31:23 AI feature updates recapKeywords: Gemini Spark, Google Chrome AI integration, Google Docs AI features, AI image generation, Gemini in Docs, ChatGPT Chrome extension, YouTube video summarization, OpenAI ChatGPT update, Codex, Vibe design, Replit design suite, Mobbin integration, AI reference library, Design export automation, Project management AI, Figma competitor, Replit creative tools, Meta AI, Muse Spark 1.1, Agentic model, Recurring AI tasks, AI scheduling, Daily briefings, AI productivity tools, Google Lyria 3.5, AI music model, Flow Music, Suno, Yudio, AI generated lyrics, Vocal delivery in AI music, Licensing in AI music, Buzz collaboration platform, Block, Square, AI agent teamwork, Slack-like AI platform, Open source collaboration, Agent governance, Cryptographic identity, Agentic browser, Automated web errands, Chrome passwords integration, Google Drive data access, Multi-agent collaboration, Research automation, Enterprise AI workflow, AI productivity boost.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Agents are getting more powerful by the day. And most workflows, outputs and human capabilities can't keep up. Is that a problem or opportunity? Before you answer that question, though, keep this in mind. Agents are *literally* about to become 20X faster overnight. Let's unpack what that means. Faster AI Agents, Fewer Human Coworkers: The Overly Productive Future of Managing Agents? -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Managing Dozens of Productive AI AgentsOpenAI Cerebras: 20x Faster Agent ModelsImpact of AI Agents on Human CoworkersAgent-Driven Workflows vs. Human CollaborationIncreasing Agent Reliance and Fading MentorshipAccidental Deskilling and Compression TaxProtecting Human Judgment and Learning HandoffsExpert-Driven Loops in AI WorkflowsMonthly Rebuilding of AI Strategies and ProcessesMiddle Management Evolution in AI Native CompaniesTimestamps:00:00 Future of AI and Work Dynamics05:25 Advancements in AI and productivity tools09:51 Growing your business with AI13:52 AI productivity and collaboration shifts15:08 Improving AI processing speed18:53 Using AI agents for delegation24:46 Discussing AI-related work challenges28:16 Ensuring accountability and communication30:39 Adapting to rapid digital change32:35 Show outro and newsletter sign-upKeywords: AI agents, faster AI models, OpenAI, Cerebras chip, 20x speed increase, automated workflows, agent management, solo agent supervisor, generative AI, knowledge work automation, agent-powered productivity, parallel machine teams, inference speed, productivity acceleration, Codex, Cloud Code, Google Gemini, Cloud Cowork, Copilot, recursive self improvement, expert-driven loops, human handoffs, deskilling, mentorship loss, AI native workplace, workplace automation, transactional work, productivity roadblocks, accidental deskilling, agent bun sandwich, compression tax, human in the loop, expert collaboration, agent trust, AI decision making, domain expertise, rapid workflow rebuilding, unlearning processes, organizational adaptation, enterprise AI adoption, future of work, middle management AI, AI-powered teamwork, human-agent collaboration, manager-agent ratios, personalized agent output, multi-agent coordination, skillset sharing, intentional automation, productivity strategySend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

People are calling the new ChatGPT Voice their “AGI moment.” 🤖After testing it over the past week, I understand why.It seems like the missing link between the ever-capable desktop agent and the human worker not having to type in front of said desktop all day. It’s less like “voice mode” and more like having your own JARVIS.After testing thousands of AI tools, this has instantly become one of the most useful features I’ve ever used. Tune in as we put AI to Work on Wednesdays and go hands-on with the new hands-free ChatGPT Voice. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:ChatGPT Voice as Jarvis-Style AI AgentChatGPT Voice vs. Old Voice ModesFull Duplex GPT Live Model ExplainedDesktop ChatGPT Voice: Codex IntegrationAdvanced ChatGPT Voice Workflow Use CasesUtilizing Connectors and MCP IntegrationsStacking and Scheduling Tasks with VoiceHands-Free Computer Control via iPhoneDurable Written Artifacts and AccountabilityOmnipresent Desktop Orb Agent FeaturesLive Demo: Real-World Voice Command TasksProductivity Gains from Voice-Driven AutomationTimestamps:00:00 Experiencing the new ChatGPT voice04:30 AI demonstration details08:44 Accessing GPT data sources11:00 Differentiating Codex from ChatGPT Voice16:08 Limitations of GPT Live integrations19:00 Automating Tasks with Voice Commands21:47 Using ChatGPT voice on iPhone25:09 Using AirPods with your Mac27:09 Starting a Chat GPT Demo31:21 Launching the Parrot Program35:47 Demoing JGPT's capabilities39:18 Demonstrating multitasking techniques40:58 Working with ChatGPT VoiceKeywords: ChatGPT Voice, Jarvis mode, AGI moments, natural language interface, hands-free AI, desktop agent, Codex, GPT Live model, full duplex voice mode, AI-powered workflow, agent management interface, voice assistant, productivity AI, computer control AI, voice commands, dynamic data access, connectors, MCP servers, project management AI, automated document creation, email triage, AI scheduling, repeatable tasks, AI skill creation, workflow automation, mobile to desktop integration, voice-based task stacking, durable artifacts, audit trail, AI voice chat, omnipresent agent, drag-and-drop orb, ChatGPT app, browser automation, programmatic control, cloud storage organization, image creation, transcribing YouTube reviews, AI learning, AI scheduling, business productivity AI, workflow augmentation, CRM integration, LinkedIn enrichment, poll result analysis, open rate comparison, Slack integration, Google Drive automation, ERP integration, finance workflows, interactive dashboards, AI trend updates, change log analysis.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Every major AI lab signed the Open Weights letter defending open models. Meta, OpenAI, Google, Microsoft, Nvidia.Anthropic was the only holdout.Yesterday, its CEO, Dario Amodei, published a thoughtful defense of that decision to not fully support open weight or open source models. Here's what nobody's connecting: the money trail. Roughly 80% of Anthropic's revenue is businesses paying per token. Free Chinese open models attack that exact revenue stream weeks before Anthropic is set to go public. On today's show we break down what Dario actually said, what he said before, and why we think this was written for Washington policymakers and not for the rest of us.Anthropic Responds: Why Claude’s CEO didn't sign the open model pact and the real reasons why -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Anthropic Refuses Open Model PactDario Amodei’s Public Letter AnalysisAnthropic’s 80% Revenue Token ExposeChinese Open Model National Security FearsMicrosoft & Nvidia’s Open Weights CoalitionRegulatory Capture and Washington InfluenceTiming Related to Executive Order DeadlineIPO Motivations Behind Anthropic’s DecisionsContradictions in Anthropic’s Open Model StanceImpact of Open Source on Token Business ModelTimestamps:00:00 Anthropic's stance on open models04:19 Discussing Anthropic's response to open models06:39 Understanding open weight models12:08 Future AI and cybersecurity risks15:04 Discussion on open-source AI models19:30 Discussing Anthropic's business challenges21:08 Cutting costs with open-source models26:17 Anthropic's recent stock downturn27:11 AI investment and cost efficiency shift30:14 Anthropic's stance on open source models36:32 INTROPICS IPO and regulatory discussions37:37 Wrapping up and subscribingKeywords: Anthropic, Claude, open model pact, open source AI, open weights, American AI leadership, Dario Amodei, IPO, regulatory capture, DC lawmakers, Chinese open source models, token revenue, per token business model, NVIDIA, Microsoft, Meta, OpenAI, Google, IBM, national security, AI safety, government mandates, chip controls, AI regulation, chip ban, industrial scale distillation, mandatory safety testing, inference, AI ecosystem, Opus 5, Fable 5, GPT-5, GLM 5.2, cost per task, token efficiency, model router, proprietary models, closed source AI, cybersecurity risks, Chinese cyberattacks, biological attacks, Glasswing program, open source vs proprietary, tech lobbying, Trump AI order, federal deadline, AI policy, artificial general intelligence, artificial superintelligence, AI monetization, S-1 filing, public company, venture capital, AI benchmarks, model switching, API pricing, model containment, Hugging Face incident, AI startup monopoly, safety vs business protection, market competition, AI cost reduction.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Over 3 hours, OpenAI, Anthropic, Google AND Microsoft all dropped new AI upgrades that are live. How you use AI in your work literally changes every day, as frontier labs are racing to roll out big quality of life updates between big model drops. How can you keep up? With our Friday Features show, where we break down the latest AI updates that are live and available to all, and we tell you how to use them and why they matter. This week did not disappoint. You don't want to miss what's now at your fingertips. JARVIS mode, anyone? ChatGPT goes Jarvis Mode, Claude can learn from you, Google unleashes spark agent and 7 more AI updates you can use today -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Anthropic Claude Opus 5 Model LaunchOpenAI Agent Hacks Benchmark SandboxOpenAI vs. Hugging Face Security BreachUS AI Kill Switch Legislation ProposalMicrosoft, Nvidia Defend Open Source AIAnthropic Opposes Open Weight Model CoalitionUS Accuses China’s Moonshot AI of DistillationChinese Kimi K3 Model Closes Capability GapNvidia Chips Allegedly Used by Moonshot AIOpenAI Jarvis-Style Voice Assistant for CodexChatGPT Remote Desktop Voice Control ReleaseAnthropic Opus 5 Model Benchmark ResultsAnthropic Opus 5 Model User FeedbackStripe OpenRouter Acquisition TalksMeta Muse Agent and Feature UpdatesAlibaba Qwen 3.8 AI Model PreviewGoogle Gemini 3.6 Flash Model UpdateAnthropic Claude Voice Upgrades and Skill RecordingTimestamps:00:00 OpenAI agent hacks Hugging Face04:58 Discussing GPT-6's creative problem-solving07:33 Proposed AI shutdown legislation13:08 Debate over open-weight AI policies15:54 Future of consumer hardware20:01 Global competition with AI models21:21 US-China AI trade tensions26:38 Using AI for desktop tasks27:42 Discussing app screenshot capabilities32:24 Early user feedback and issues36:13 Discussing medium and low reasoning AI39:29 Gemini Spark launches for Pro usersKeywords: Claude Opus 5, Anthropic, best AI model, AI model comparison, OpenAI agent, sandbox breach, AI safety, AI kill switch bill, US government AI regulation, Hugging Face hack, GPT 5.6 Soul, rogue AI agent, autonomous AI agents, AI benchmark exploits, bipartisan AI bill, Department of Homeland Security AI shutdown, AI technical throttling, AI enterprise adoption, NVIDIA, Microsoft, open source AI, open weight models, Meta, Google, AMD, Cloudflare, GitHub, Block, IBM, Dell, Palantir, Perplexity, y Combinator, AI market resilience, Anthropic revenue model, AI token sales, consumer AI hardware, AI distillation, Chinese AI models, Moonshot AI, Kimi K3, intellectual property theft, NVIDIA chip export controls, US-China AI dispute, Amazon, AI image generation, ChatGPT work, Codex app, full duplex voice model, knowledge work automation, app shots, AI at work, Claude Voice, Gemini Spark, record a skill, cloud cowork, AI business impact, AI industry news, model weights, collaborative AI, AI productivity tools, AI cybersecurity.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Over 3 hours, OpenAI, Anthropic, Google AND Microsoft all dropped new AI upgrades that are live. How you use AI in your work literally changes every day, as frontier labs are racing to roll out big quality of life updates between big model drops. How can you keep up? With our Friday Features show, where we break down the latest AI updates that are live and available to all, and we tell you how to use them and why they matter. This week did not disappoint. You don't want to miss what's now at your fingertips. JARVIS mode, anyone? ChatGPT goes Jarvis Mode, Claude can learn from you, Google unleashes spark agent and 7 more AI updates you can use today -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:ChatGPT Health Syncs Apple and Medical DataClaude Voice Mode Adds Opus and SonnetClaude Voice Mode Supports ConnectorsMicrosoft MAI Image 2.5 Pro Launch DetailsMicrosoft MAI Image Model Benchmark PreviewGoogle Gemini 3.6 Flash and Flashlight ReleaseGemini 3.6 Flash: Token Efficiency UpgradesGoogle Gemini Spark Agent for Task AutomationClaude Cowork "Record a Skill" With Voice NarrationChatGPT Voice on Desktop: Full Jarvis ModeChatGPT Voice Controls Apps via App ShotsCross-Platform AI Skills Sharing (Claude, Codex, GPT)Timestamps:00:00 Recent AI feature updates05:22 Unified health data management09:52 New voice feature explanation11:28 Launch of Microsoft's new image model16:17 Explaining the Gemini 3.5 models17:11 Developers benefiting from 3.6 Flash22:45 Introducing Gemini personal intelligence25:10 Claude Cowork's new skill feature28:32 New default feature in Claude Cowork34:22 Using AI like Iron Man35:09 Excitement for future AI advancements38:20 Wrapping up and subscribingKeywords: ChatGPT Jarvis mode, ChatGPT Health, OpenAI, Anthropic, Claude voice mode, Claude Cowork, Claude record a skill, Microsoft, MAI image 2.5 Pro, AI image generator, Google Gemini, Gemini 3.6 Flash, Gemini 3.5 Flashlight, Gemini Spark, Google AI agent, AI-powered personal assistant, AI agents, Agentic workflows, Multimodal AI, Token efficiency, Image generation, Voice-activated AI, AI-powered task automation, App shots, GPT Live, Remote browser, Computer code execution, Slack integration, GitHub integration, Notion, PowerPoint AI features, Workspace plans, Apple Health integration, Medical records AI, Health data privacy, Consumer AI, Chronic condition management, AI-powered document processing, AI for business, AI model benchmarking, AI for developers, AI economics, Personal intelligence, Automated triggers, Google Docs AI, Team collaboration AISend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

OpenAI launched Presence, and it seems like no one really noticed. They should have.Presence gives companies a way to build and manage real-time AI voice and chat agents across customer service, sales, HR, and IT, which could make this one of OpenAI’s most important enterprise launches yet.The technology finally looks fast, natural, and capable enough to disrupt customer service at scale. That could mean faster answers and fewer terrible phone trees.Or an endlessly patient corporate gatekeeper.We’re breaking down what OpenAI actually launched, what the early proof leaves out, and whether the AI customer service takeover has finally arrived.New: OpenAI Presence. Has The AI Customer Service Takeover Finally Arrived? An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:OpenAI Presence Launch and Industry ResponseReal-Time AI Voice Agents for Customer ServiceOpenAI Presence vs. Competing AI Voice PlatformsGPT Live and Real-Time Model CapabilitiesEnterprise AI Integration: Guardrails and EscalationsMultichannel AI Agent Consistency for SupportSpeech-to-Speech Benchmark Rankings and AnalysisDeployment Challenges: Beta to Production ReadinessConsumer Demand for AI Customer Service SolutionsInternal and External Use Cases for AI AgentsTimestamps:00:00 OpenAI launches customer service AI05:40 AI voice advancements and competition09:28 OpenAI's edge in speech models12:15 OpenAI's AI usage in companies14:22 Discussing AI integration in companies19:05 Transitioning from demo to deployment20:46 Comparing voice agents and improvements26:28 AI's Impact on Customer Service28:07 Considering personalized messaging strategiesKeywords: OpenAI Presence, AI customer service, enterprise AI platform, AI voice agents, real time AI chat, customer support automation, sales automation, HR automation, IT automation, real world AI learning, customer service disruption, AI-powered voice models, GPT live, GPT real time 2, on demand AI agents, voice AI agents, AI chatbots, AI-driven customer experience, speech-to-speech index, multimodal AI, desktop AI assistant, voice model benchmarks, Anthropic, Codex real time voice mode, Google Gemini Live, Gemini 3.6 Flash, AI internal workflows, human approval guardrails, escalation paths, agent simulation, FDEs (forward deployed engineers), AI agent guardrails, internal data integration, business AI applications, B2C AI customer service, personalized AI messaging, AI consumer adoption, enterprise AI deployment, voice agent evaluation tools, consumer demand for AI, phone support AI, advanced AI infrastructure, Codex-powered improvement process, AI support handoff, customer service automation trends.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Claude Design went viral at launch, but has been kinda crickets since. 🦗So, we're gonna show you why some of the recent updates from Claude Design deserve your attention. Claude Design has gone from a cool party trick into a must-have tool in any designer's (or non-designer's) toolbox. It allows you to create any type of design with natural language, basic feedback, and straightforward iteration. On our weekly AI at Work on Wednesdays series, we show you Claude Design 101, show you what's new, and give our 5 best practices for getting started. Claude Design: What's New, How to Use it and 5 Best Practices -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Claude Design Overview and WorkflowMajor Claude Design Updates: June & JulyClaude Design System vs. Image GeneratorsHands-On Demo: Claude Design User FlowInput Methods: Prompts, Files, GitHub, FigmaKey Features: Editable Canvas & IterationClaude Design vs. Google Stitch & CanvaExport, Handoff, and Integration OptionsBest Practices for Using Claude DesignReview of Generated Designs and Editing ToolsTimestamps:00:00 Introduction to Claude design03:04 Initial struggles with Claude Design08:56 Using Claude for design brainstorming13:20 Watching Claude design live15:37 Claude design updates and usage tips19:53 Controlling design in generative AI23:32 Tips for better Claude prompts27:20 Exploring design tools in Figma28:03 Editing with Claude Design tools32:02 Choosing Live Stream Layout Options35:15 Using Google Stitch for designKeywords: Claude Design, Claude AI, generative design, Anthropic, editable canvas, AI-powered design system, design system, natural language design, prototyping with AI, internal tool creation, marketing tools with AI, operations workflow automation, user interface redesign, user experience design, interactive decision making, spreadsheet transformation, code integration, Claude Code, GitHub syncing, Figma file upload, brand kit, design assets, visual onboarding, workflow automation, public publishing, export options, artifact generation, HTML export, PNG export, PowerPoint integration, Canva export, Gamma export, animation creation, video creation with AI, design iteration, direct editing, annotation tools, visual revision, collaborative editing, web-based design tools, design system import, audience-focused design, section-based AI design, prompt-based design, code handoff, front-end design AI, design artifact publishing, workflow fixes, design system updates, technical collaboration tools, web design automation, repeatable design process, onboarding questions, visual exploration, AI design best practices, design inspection, revision instructions, artifact sharingSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

A U.S. vs China AI cold war is starting, and most business leaders have no idea they're already in it.China's open models just closed the gap with America's best, oftentimes at a fraction of the price.Now both governments are moving to wall off their AI within days of each other.Why? Because this was never about benchmarks. It's about power y'all. We break it all down on today's show and help you figure out the 101 of the AI war between U.S. and China. The U.S. vs China AI Cold War Is Starting: What It Means and How It Impacts You -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:U.S.-China AI Cold War OverviewChinese AI Models Closing U.S. GapGovernment Restrictions on AI Model AccessEconomic and Geopolitical AI Power StruggleRisks for U.S. Businesses Using Chinese AIOpen Source vs. Closed Source AI DebateChinese AI Model Pricing Undercuts U.S.AI Model Distillation and U.S. Security ConcernsEnterprise AI Cost-Effectiveness BenchmarksMicrosoft Testing Chinese AI DeploymentsFuture AI Model Export Controls & StrategiesRecommendations for AI Model Sourcing and RiskTimestamps:00:00 US-China AI tensions escalate04:30 Switching to Chinese AI models08:47 US vs China in open source models11:39 China's narrative control efforts14:42 Challenges in AI model development18:25 Differentiating open source strategies23:04 AI model cost-effectiveness analysis26:31 US measures against model distillation29:38 Discussing Microsoft's use of AI models31:17 Controlling export of AI modelsKeywords: US vs China AI cold war, China AI restrictions, US AI restrictions, AI model export controls, Chinese open source AI models, AI geopolitical power, economic growth through AI, global AI standards, AI superpower race, AI model benchmarks, open weight models, enterprise AI deployment, trillion parameter AI models, Microsoft AI model testing, AI model pricing, Claude Fable 5, GPT-5.6, GLM 5.2, Kimmi K3, Alibaba Qwen 3.8, model distillation, AI cybersecurity risks, AGI leadership, military AI use cases, China narrative control, model adoption, compute power for AI, AI training data, AI export law, US national security and AI, model routing, mixture of models, cost per intelligence index, Anthropic models, cost per task AI, model capability parity, AI market adoption, cloud competition, AI architecture innovation, AI model sanctionsSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

There’s (another) new open source king of AI. 👑Kimi’s K3 might shake the open source landscape, but we’ll tell you why it’ll probably have less of an impact than you might think. That probably wasn’t the biggest news of the week in AI world, though, as Microsoft CEO Satya Nadella reportedly torched Anthropic. (Which might seem normal from AI company to AI company, but not when Microsoft has a $5 billion stake in Anthropic.) If you took your foot off the AI gas this week, we’ll get you caught up quickly with our AI News That Matters. Kimi K3 surprises, Gemini 3.5 Pro Delayed Again, Microsoft CEO Reportedly Criticizes Anthropic and more AI News — An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Meta AI Layoffs Lawsuit: Discrimination ClaimsGoogle DeepMind Proposes Unified AI WatchdogOpenAI Smart Speaker Hardware Leak DetailsKimi K3 Trillion-Parameter Open Source ModelKimmi K3 Benchmarks vs GPT-5.6 Soul, Fable 5Google Gemini 3.5 Pro Model Release DelayedMicrosoft CEO Nadella Criticizes Anthropic Fable 5Anthropic Fable 5 Data Retention Enterprise PolicyQuinn 3.8 and Inkling AI Large Model LaunchSuno Data Scraping Leak and AI Music TrainingGoogle AI Mode Integrates Canva, Instacart, YouTubeAnthropic Extends Fable 5 Access to Max UsersApple Testing PrismL Model Compression on iPhonesPerplexity Rolls Out Self-Improving AI MemoryChatGPT Universal Search and Work Features UpdateTimestamps:00:00 Meta lawsuit over AI layoffs03:21 Meta lawsuit over protected leave07:11 Major tech leaders back AI regulation11:45 OpenAI's AI-powered smart speaker14:12 Introducing Kimi k three AI model20:19 Google delays Gemini 3.5 Pro release23:33 Partnering with Top Tech Companies26:03 Anthropic criticism and Azure investment28:41 Anthropic's data retention policy31:49 AI developments and tech updates35:29 Upcoming AI releases and trendsKeywords: Kimmy K3, Moonshot AI, open source AI model, 3 trillion parameter model, Chinese AI, Alibaba, Tencent, AI lawsuits, Meta layoffs, AI-powered layoff decisions, internal AI systems, keystroke monitoring, Anthropic Fable Five, Mythos Five, Google DeepMind, Demis Hassabis, AI regulatory watchdog, FINRA-style oversight, Satya Nadella, Microsoft AI, Anthropic criticism, editorial controls, zero data retention, AI companion device, OpenAI hardware, ChatGPT sync, Apple lawsuit, personal AI speaker, model benchmarks, GPT-5.6 Soul, AI model competition, Gemini 3.5 Pro, Alphabet, model delay, software code generation, AI cloud infrastructure, enterprise AI, AI training data, AI security, generative AI, AI model export restrictions, US-China AI rivalry, AI market impact, fine-tuning large models, AI model pricing, data center construction moratorium, cybersecurity patching, AI job impact, Nobel laureates AI letter, AI search, Spotify voice assistant, Gemini personal avatars, Perplexity AI, Claude Code, Codex, project management AI, AI memory features.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Is Kimi K3 the shocker of 2026? Could be. Now, we have a new (soon to be) Open Model that’s competing with Fable 5 and GPT-5.6, a feat few would have believed possible. And that was the only new and important drop this week in AI. Claude brought useful browser to the desktop, ChatGPT made a big fix to how ChatGPT Work works and Google rolled out avatars that could change content creation. Don’t miss our Friday Features show, where we recap the most important AI updates and features you can use today. Claude Desktop Gets Upgrade, New Open Source Model Shocks, ChatGPT Desktop Gets Better and 7 More AI Features You Can Use Today -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Anthropic Claude Desktop App Browser UpgradeOpenAI ChatGPT Work Desktop App ImprovementsChatGPT Universal Search Feature LaunchSuperhuman Email Auto-Draft with GPT-4Spotify AI Voice/Text Conversation FeatureGemini Omni Personal Avatar Video CreationGoogle Vids Integration with Personal AvatarsMoonshot Kimmy K3 Open Source Model ReleaseKimmy K3 vs Fable 5 and GPT-5.6 BenchmarksTimestamps:00:00 New open source AI model release03:41 Microsoft Copilot and Claude app updates07:22 Improving chat history search12:30 Spotify's data personalization benefits14:52 Launching Google Avatar Feature18:24 Mainstream avatar video tools21:33 Improved ChatGPT project syncing24:15 Introducing Kimmy K Three Model29:30 New Kimmy k three for enterprises30:45 Friday feature show wrap-upKeywords: Claude desktop, Claude desktop upgrade, open source AI model, proprietary AI, open vs closed AI, Anthropic, built-in browser, Claude app, API docs, browser integration, permissions card, security layers, ChatGPT desktop app, OpenAI, universal search, ChatGPT search, chat history, project sync, mobile AI apps, Codex, ChatGPT work, Codex mode, Superhuman mail, auto draft, Anthropic Frontier models, GPT-3.5, Gmail integration, Outlook integration, Spotify, Talk to Spotify, personalized AI conversation, Gemini Omni, Google Gemini, personal avatars, Google Vids, video editing AI, video avatars, L&D AI, content creation with AI, Kimi k3, Moonshot AI, 2.8 trillion parameter model, 1 million token context, vision mode, benchmark leaderboards, Fable 5, GPT 5.6, Opus 4.8, open model weights, self-host AI, enterprise AI solutions, long context AI, front-end design AI, subscription AI tools, API pricing, AI benchmark, arena rankingsSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

You've probably never heard of Inkling. It's the newest (and first) model from Thinking Machines Labs, and it could very well be a small snowball that picks up major momentum in today's enterprise AI landscape. If you haven’t heard of Thinking Machines, they’re led by Mira Murati, the former CTO at OpenAI. The big bet with Inkling? The future of AI could be using smaller models fine-tuned and optimized for smaller tasks. Will it work? Tune in live as we dive in. The Most Important AI Model You’ll Probably Never Use That Just Dropped -- An Everyday AI Chat With Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Inkling AI Model Launch OverviewThinking Machines Lab Leadership HighlightInkling's Multimodal and Agentic CapabilitiesOpen Source vs. Proprietary AI ModelsEnterprise Procurement with American AI ModelsAI Fine Tuning as a Service (Tinker)Benchmark Scores: Inkling vs. Frontier ModelsCustomization and Model Shopping for EnterprisesAI Token Costs Driving Model EfficiencyBridgewater Case Study: AI Model CustomizationFrontier Models Enabling Efficient Fine-TuningFuture Trends: Specialized Small Language ModelsTimestamps:00:00 Inkling: A new AI model release05:43 Inkling AI model details09:08 China's dominance in open source AI11:48 Launch and model updates discussed15:21 Concerns over using Chinese open-source models19:06 Training smaller AI models20:22 Using GPT for AI Model Training23:54 Predicting Rise of Small Language Models28:38 Choosing the right AI modelKeywords: Inkling, Thinking Machines Lab, Meera Muradi, former OpenAI CTO, open source AI model, American AI model, fine tuning as a service, enterprise AI, multimodal AI, agentic models, customizable AI, Tinker, enterprise distribution, model procurement, Chinese open source models, strategic reset, model overhang, capabilities gap, AI model shopping, model routing, cost-conscious enterprises, artificial intelligence index, 975 billion parameter model, text-image-audio AI, open weights, proprietary AI models, customization accessibility, small language models, AI workflows, context window, Bridgewater use case, model distillation, GPU infrastructure, API costs, token efficiency, fine-tuned models, post training, AI competitive leverage, recurring financial judgment, AI benchmarks, middle tier models, automated model evaluation, privacy and workflow mapping, economical AI models, model rental, model routing automation.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

OpenAI's new ChatGPT Work is on fire. 🔥The company said they've added 2 million users in the past two days alone. Wanna know a secret about it though? (It's kinda not new at all. It's just Codex in Chat clothing.) Regardless, millions of new users are realizing for the first time what it means to have an agent that can work for them 24/7. And even if you're not a technical builder, it's pretty easy to set up a swarm of agents to help with any kind of work. We show you how. ChatGPT Work: What’s New, Who It’s For and How to Use It -- An Everyday AI Chat With Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:ChatGPT Work vs Codex ComparisonOpenAI's Viral ChatGPT Work LaunchKey Differences: Desktop vs Web VersionsChatGPT Work User Growth and BacklashRemote Access and Computer Use FeaturesAgentic AI: Multiple Agents on DesktopAdvanced Workflow Automation CapabilitiesSyncing and Integration Challenges ExplainedDetailed Demo: Site and Skill CreationPower User Features: Sub-Agents & GoalsTimestamps:00:00 Chad GPT Work launch details04:03 Confusion over ChatGPT update09:20 Preparing AI news stories12:32 Highlighting improved computer use13:57 2 million new users in 48 hours17:35 Chat syncing and organization benefits21:17 Model's unique context handling25:59 Discussing Beehive and audience insights29:50 Exploring Desktop AI Features31:22 Ending and subscription reminderKeywords: ChatGPT Work, ChatGPT for Work, OpenAI, Codex, Codex app, Codex for beginners, Codex update, AI agent, agentic AI, desktop AI app, web AI app, ChatGPT desktop, ChatGPT web, GPT-5.6, GPT 5.6 Soul, nontechnical AI users, business deliverables, remote feature, remote mode, mobile AI syncing, AI-powered automation, sub agents, multi-agent workflows, computer use, browser use, built-in browser, technical AI tasks, non-coders, usage credits, artifacts, interactive dashboards, AI context window, auto compaction, agent MD files, custom instructions, chain of thought, plan mode, steering, queuing, looping processes, context syncing, cloud code, team plan, private AI sites, personalized AI outputs, persistent agent workspace, skill creation, manual knowledge work.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Of course you need data to fuel your AI. You know what's just as helpful though? 🤔Decisions. And the conversation and rationale behind it.As agents become more mainstream, the required structured data only goes so far. ↳ What about how your team makes decisions? ↳ Or the real reasons why one RFP landed and one flopped? ↳ Or where Deborah in accounting keeps saving that KPI sheet and if it's actually approved or not? (Cmon Deborah.) The big advantage moving forward is giving your agents access to the rationale and context of your team's conversations. And that's the big unlock that Slack just unveiled. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Shift from Single-Player to Multiplayer AI CollaborationSlackbot as AI Personal Assistant OverviewIntegrating AI Agents Across Enterprise Systems in SlackUnlocking Organizational Knowledge from Slack ConversationsBuilding and Iterating in the Open with SlackSlackbot’s Role in Headless, Agentic WorkflowsEnhancing Productivity with Slackbot’s Contextual ActionsTransitioning Business Strategy for Multiplayer Agentic OrchestrationTimestamps:00:00 Managing Slack and Salesforce Growth05:45 Navigating apps with Slackbot assistance09:37 Using Slackbot to monitor channels12:51 Building in the open with AI16:07 Shopify's AI deployment strategy17:00 Collaborative learning with Slack channels22:04 Using Slack for CRM insights24:41 Using Slack and AI Agents27:23 Slack as a work operating system29:41 Episode wrap-up and newsletter promoKeywords: Slack, Slackbot, Slack AI, AI-powered collaboration, multiplayer AI, agentic AI, headless AI, agentic-first strategy, enterprise AI tools, AI personal assistant, conversational AI, AI-driven productivity, integrated AI agents, workplace collaboration tools, organizational context, unstructured data, Salesforce, Salesforce AI, Salesforce MCP, open platform, third-party integrations, Box, Atlassian, OpenAI, Perplexity, Linear, Vercel, productivity gains, employee productivity, digital growth systems, building in the open, public channels, private channels, reasoning data, first-party reasoning data, team communication, CRM integration, knowledge management, orchestration of work, AI skill deployment, AI-enabled workflows, work operating system, decision making in Slack, automation in Slack, business transformation through AI, collaborative intelligence, permissioned AI, cloud coworkerSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Anthropic had a really bad week. 🥺First of all, Claude Fable 5 got knocked off at the top by OpenAI's GPT-5.6 Sol. Then? Both Meta and Grok came for Anthorpic's API coding pie. Yikes. But in between the fights for tokens, we also go some big name lawsuits, weird study results and AI that talks to you more like a person than a robot. ChatGPT’s 5.6 Sol, Grok and Meta bounce back and OpenAI’s biggest week ever? And more AI News That Matters -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Anthropic Fable Models Release ControversyOpenAI GPT-5.6 Sol Government CollaborationGrok 4.5 and Meta Muse Spark LaunchApple Lawsuit Against OpenAI for Trade SecretsOpenAI GPT Live Voice Mode OverviewMicrosoft Copilot Shifts to Internal AI ModelsMeta Muse Image and Video AI ReleaseMeta Launches Iris Proprietary AI ChipOpenAI GPT-5.6 Performance BenchmarksOpenAI ChatGPT Work Desktop AgentU.S. Survey on AI Company OwnershipAnthropic Fable 5 Model Pricing ChallengeTimestamps:00:00 OpenAI's busy week and competition03:17 Apple vs OpenAI controversy06:55 GPT Live dual-mode voice launch11:06 Grok 4.5 release and impact16:06 Microsoft's AI integration in use19:16 Microsoft Copilot's learning curve challenges22:34 AI policy and potential wealth distribution26:36 Comparing AI model pricing27:54 Meta's AI chip announcement31:41 OpenAI product competition and updates37:31 Predicting Fable five's future options38:17 OpenAI undercutting Anthropic pricesKeywords: GPT-5.6 Sol, OpenAI, Anthropic, Fable, Mythos, Grok 4.5, Meta, Muse Spark 1.1, Muse Image, Muse Video, Meta AI, coding API, AI benchmarks, price per performance, live voice mode, ChatGPT for work, ChatGPT desktop app, Codex, Claude Code, Sonnet 5, Opus, Haiku, model routing, agentic AI systems, token efficiency, input tokens, output tokens, enterprise AI adoption, Microsoft Copilot, MAI models, token subsidy, sovereign wealth fund, AI company equity, Bernie Sanders AI bill, NVIDIA, AMD, GPU, Meta Iris chip, Cameo feature, data centers, deep seek models, AtCoder algorithm contest, API production use, China-linked backdoor, automatic call transcription, ByteDance SeedDream, generative AI tools, AI privacy backlash, pull request tab, diff view, multimodal context window, AI-driven document generation, learning curve, security permissions, cost efficiency, large language modelsSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Of course GPT-5.6 Sol is OpenAI’s best model yet. ☀️Every new model is.The real story is what OpenAI did around it.Codex got a friendlier name, a broader audience, and a much bigger job.ChatGPT Work is not just another mode.It is OpenAI merging chat, coding, browsing, files, plugins, and actions into one work super app.Today’s Everyday AI breaks down what actually changed, what is mostly packaging, and why Anthropic should be paying very close attention.ChatGPT Work and GPT-5.6 Sol: What’s New, 5 Overlooked Features and 1 Hot Take -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:GPT-5.6 Soul Model Launch OverviewChatGPT Work Super App IntroductionCodex Platform Rebranding ExplainedSol, Terra, Luna Model Tier ComparisonUnified Plugins and Workflow IntegrationChatGPT Sites Expanded Access FeaturesChatGPT Work Mobile App Remote UpdatesAtlas Browser Integration in Super AppAdvanced Agentic Browser and AutomationPerformance Benchmarks: GPT-5.6 vs. Fable 5Pricing Structure and Cost EfficiencyAnthropic Competitive Landscape & Model ImpactTimestamps:00:00 OpenAI's GPT 5.6 Soul release05:40 Introducing the new GPT 5 models07:23 Combining ChatGPT and Codex10:30 Codex display options explained14:39 Features of CHAD TBT on the web18:28 Performance optimization with Sol Ultra22:54 Comparing AI model costs24:23 Why use Codex over the web27:55 New Chatchifyd and Chat GPT Features31:44 Automating podcast production tasks33:20 Codex and Chrome extension features38:17 AI model rankings and performance40:44 Market dynamics and competition impactKeywords: GPT-5.6, GPT-5.6 Soul, GPT-5.6 Terra, GPT-5.6 Luna, OpenAI, ChatGPT Work, ChatGPT super app, agentic platform, Codex, Atlas browser, Slack bot, AI model benchmarks, performance per dollar, AI execution, knowledge work automation, AI-powered desktop app, task scheduling, multi-agent orchestration, Ultra mode, plugin integration, context gathering, automated spreadsheet creation, AI dashboards, interactive web apps, team collaboration tools, cost-efficient AI, recuring tasks, mobile AI control, remote desktop AI, Chrome extension, browser automation, password management, cookies support, scheduled tasks, file access, AI competitive landscape, Anthropic, Claude Fable 5, Claude Opus, artificial analysis coding index, API pricing, model performance, AI work productivity, Slack integration, knowledge worker agent orchestrationSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

All eyes will be on GPT-5.6 Sol today. ☀️But some might argue, that won't even be the ChatGPT maker's biggest release this week. That's because we finally have conversational AI that just works in OpenAI's new GPT-Live model inside ChatGPT. And that's not the only big release this week: we had big drops from Meta, Grok, Google and more. The most important move you can make each week is to quickly know the newest features you can ACTUALLY use. And that's what our Friday Features show is all about. (Brought to you a day early, obviously.) Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:OpenAI GPT Live Voice Model LaunchOpenAI GPT Live Duplex Conversational FeaturesGPT Live Access Free and Paid TiersOpenAI Developer API: GPT Real Time 2.1 ReleaseXAI Grok 4.5 Model for Software EngineeringGrok 4.5 Token Efficiency and BenchmarksNotion Agents Standalone iPhone App ReleaseGoogle Voice AI Gemini-Powered Call SummariesByteDance SeeDream 5.0 Pro Image Model LaunchByteDance Image Model Infographic and Layer FeaturesMeta Muse Image and Video Model RolloutMeta AI Agent Image Generation Through InstagramTimestamps:00:00 New OpenAI voice model04:26 New AI voice model launch06:26 Introducing GPT Live Voice Models11:15 OpenAI's new GPT model for developers15:19 Using the Grok app19:20 Notion's AI paid features explained22:50 AI features for small businesses23:41 New image model contenders27:14 New AI image model feature31:45 Meta's AI features and updates34:05 New AI tools and updatesKeywords: GPT Live, OpenAI, real-time voice model, duplex architecture, AI voice assistant, full duplex AI, natural language AI, GPT 5.5, model release, AI updates, Slack bot, personal AI agent, AI-powered productivity, ChatGPT voice features, advanced voice mode, Gemini Live, Claude voice, web search AI, context-aware AI, conversational AI, AI voice brainstorming, hands-free AI, developer API, GPT real time 2.1, cost-efficient AI, latency reduction, tool calling, code execution, software engineering AI, Grok 4.5, XAI, multi-step agentic work, Cursor, token efficiency, AI benchmarks, Notion agents, iPhone AI app, workspace automation, Gemini-powered Google Voice, AI note-taking, ByteDance, C Dream 5.0 Pro, AI image model, infographic AI, Meta, Muse image model, video AI, Instagram AI, agentic self-refinement, multimodal AI, branded visuals, AI for social media, marketing automation, AI-driven design, AI-powered workflows, API integration, team collaboration AI.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Doomscrolling vertical videos is just brain rot, right? 🥴Not anymore. NotebookLM just released its new AI-powered vertical video shorts tool that changes individualized learning on the go. We know what you're thinking: I'm not a student -- why do I need short-form video? Well, that's exactly why we're dishing our 5 best business use-cases and 5 tips to get expert results right away. (Because this new NotebookLM feature has the potential to unlock new learning avenues for your entire org.) NotebookLM's New Cinematic Shorts: How They work, 5 Tips and 5 Best Use Cases -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:NotebookLM Cinematic Shorts Feature OverviewHow NotebookLM Vertical Videos WorkGoogle Nano Banana 2 Lite Engine DetailsFree vs. Paid NotebookLM Video LimitsCustom Prompting for Shorts Best PracticesExplainer, Cinematic, and Short Video TypesStep-by-Step Studio Workflow in NotebookLMTop 5 Use Cases for NotebookLM ShortsFive Expert Tips for Effective AI ShortsQuality, Rendering Times, and Editing LimitsTimestamps:00:00 Slack's new AI feature05:50 Uploading and chatting with sources08:57 Creating a 60-second AI promo10:39 Rendering detailed video prompts15:46 Limitations of animated shorts16:36 Using Google AI Studio Templates19:51 Personalizing content for specific audiences23:08 Executive briefings on the go28:09 Fixing broken workflows with everyday AI30:46 AI at Work on Wednesdays Wrap-UpKeywords: NotebookLM, Google cinematic shorts, vertical video AI, AI-powered video shorts, personalized AI video, AI learning tool, AI voice over, captions in AI video, mobile AI apps, NotebookLM tips, AI video use cases, uploading sources to AI, PDF to video AI, Google Gemini, AI context grounding, hallucination-free AI, Nano Banana 2 Lite, Gemini 3.1 Flash, video overview formats, explainer videos, cinematic AI video, AI video daily limits, free versus paid AI plans, prompt engineering, brand guidelines in AI, call-to-action in AI video, executive briefings AI, customer education video, FAQ explainer shorts, repurposing webinars, podcast to short video, marketing content AI, internal training AI, SOP to video, playbook animation, animation image model, audio overviews, slide deck generation, workflow automation AI, AI for business, AI video generation, Google AI Studio, context-based video, custom video prompts, source grounded AI content, AI onboarding videos, social media AI video, interactive learning AI.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

AI’s all-you-can-eat era is ending. 🍲For years, one subscription felt like unlimited access to frontier models.But that business model for the AI labs apparently breaks when agents can now run for days, use tools, retry work and burn through tokens.And with Anthropic's powerful Fable 5 model exiting subscription tiers today and moving to API only pricing, it's as imperative of a time as ever to figure out your AI spend strategy. Frontier AI is becoming a metered utility. On today's show, we teach you how to deal with it. AI Cost Control 101: Why Your Chatbot Bill Is Becoming a Board-Level Problem -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:End of Unlimited AI Subscription PlansAnthropic Fable Five Subscription RemovalCopilot and Grok Switching to Pay-Per-UseEnterprise AI Cost Control ChallengesToken Consumption in Agentic AI ModelsBoard-Level AI Spending ConcernsStrategies for AI Spend OptimizationFine-Tuning and Multi-Model Routing SolutionsSeven-Step AI Cost Reduction PlaybookTimestamps:00:00 Rising AI costs and usage05:18 AI service cost challenges10:18 Cost of AI and OpenAI's Future14:18 Chatbot costs becoming a big issue15:10 Automating work with desktop agents19:26 Hidden costs of automation loops24:13 The future of model mixtures25:16 Microsoft Foundry's fine-tuning service31:20 Fine tuning AI models32:13 Closing thoughts on AI futureKeywords: AI cost control, chatbot bill, AI spend, token efficiency, metered AI, agentic models, AI subscription plans, Fable Five, Anthropic, API pricing, OpenAI, GPT-5.6, Copilot cowork, GitHub Copilot, Google Gemini, AI credits, usage limits, credit-based system, Grok, NeoCloud, board-level AI concerns, token maxing, spending limits, enterprise AI, SMB advantage, API token pricing, token-based billing, model routing, open source AI models, GLM 5.2, Kimmy 2.7, caching, difficulty-based routing, fine-tuning models, Microsoft Foundry, fine-tuning as a service, Thinking Machines Lab, tuned specialists, mixture of models, AI routers, perplexity, Merge, spend routers, AI budgeting, overage alerts, default model selection, AI model compaction, automation, human-in-the-loop AI, context length limits, token burn rate, Jovan’s paradox, AI tool escalationSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

This was upside down week in AI news. 😵Microsoft is starting a new AI company. Anthropic is getting into pharma and drugs. And OpenAI might be giving 5% equity to the U.S. government? We'll help you sort it all out on our AI News That Matters show. Fable 5 is (kinda) Back, OpenAI Might Give Gov Equity, Microsoft’s new AI Company and more AI News -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Microsoft Frontier Company $2.5B AI InvestmentAnthropic Claude Science Drug Discovery LaunchMetaCompute Cloud AI Infrastructure BusinessCloudflare Blocks AI Crawlers on Ad-Supported PagesUS Government Voluntary AI Model StandardsAnthropic Fable 5 Model Reinstatement UpdatesFable 5 Enterprise Data Retention Policy ChangesOpenAI Considers US Government 5% Equity StakeAnthropic SONNET 5 Model ReleaseMeta Watermelon Model RumorsAlibaba Bans Claude Code over Security ConcernsAnthropic and Samsung Custom AI Chip NewsOpenAI GPT 5.6 Soul Ultra in CodexUS House Kids Act AI Safety LegislationGoogle Gemini Omni Flash and Nano Banana 2 LiteCursor and OpenClaw Mobile App LaunchesTimestamps:00:00 Microsoft's big AI investment05:05 AI experts deploying to companies07:22 Anthropic's move into drug development09:47 Meta's new cloud venture13:29 Cloudflare blocks AI crawlers16:32 Impact of AI on web traffic19:37 Government oversight on AI releases24:27 Fable Five model reinstated29:19 AI firms discussing public financial stakes30:46 AI companies preparing to go public34:14 AI updates and tech progressKeywords: Microsoft Frontier Company, Microsoft AI investment, forward deployed engineering, FTE, AI consulting services, Amazon AI initiative, OpenAI, Anthropic, Claude Science, drug discovery AI, pharma sector AI, AI model integration, MetaCompute, Meta cloud infrastructure, AI computing capacity, Amazon Web Services competitor, Microsoft Azure competitor, Google Cloud competitor, AI data centers, AI infrastructure, AI CapEx, supply and demand AI, SpaceX, Grok, AI compute partnerships, Cloudflare AI crawlers, ad supported pages AI access, Googlebot, AI training data, AI search crawlers, pay per crawl model, x402 standard, Stripe, AI licensing deals, digital publishing AI impact, national security AI standards, AI export controls, Codex, GPT 5.6, AI voluntary standards, executive order AI, advanced AI model oversight, cybersecurity classifiers, AI data retention policy, API access AI models, enterprise AI privacy, Mythos 5, Fable 5, model rollout delays, US government AI regulation, OpenAI government equity, sovereign wealth fund AI, Anthropic Samsung AI chips, Apple MCP server, Meta Muse model, AI agent web debugging, Kids Act AI, AI safety rules, Ford AI quality checks, Grok 4.5, NotebookLM vertical video, ChatGPT finance app, Cursor iOS app, AI feature releasesSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Fable 5 is out, but it'll be gone (again) before you know it. While Anthropic's powerful Mythos 5 is out for the masses for another 5 days, it might be their Sonnet 5 model that's your next daily driver. Even better news? If you're an iPhone user, your OpenClaw and Cursor accounts are gonna get a lot more use. Yeah, it's a short Holiday week in the U.S., but the AI companies didn't stop shipping. From new models to new ways to work, these are 7 new AI features available now that you should be using. Fable 5 and Sonnet 5 Released, OpenClaw on Your iPhone, NotebookLM's New Video Format and 7 More AI Features You Need NowNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Anthropic Sonnet 5 Model OverviewSonnet 5 vs Opus 4.8 PerformanceAnthropic Model Naming Confusion ExplainedSonnet 5 Pricing and API Cost AnalysisSonnet 5 Use Cases for Daily WorkNotebookLM 60-Second AI Video GenerationNotebookLM Cinematic Video Format ReviewChatGPT Finance Feature: Plaid IntegrationChatGPT Finance Rollout and Security DetailsTwitter/X MCP Model Context Protocol LaunchMCP API Access for AI Agents ExplainedOpenClaw iOS and Android App LaunchOpenClaw Mobile Bridge Setup and UsageCursor iOS App for AI Code AgentsCursor Cloud Agents and Mobile NotificationsAnthropic Fable 5 Limited-Time AvailabilityFable 5 Cost Structure and GuardrailsAnthropic Frontier Models and US RegulationsTimestamps:00:00 Recent AI developments and updates05:54 API pricing and usage strategies07:19 Choosing the right AI model11:17 Notebook LM paid user rollout16:17 ChatGPT's new personal finance tool17:35 Integrating ChatGPT with Plaid for Finance21:35 Streamlining MCP setup for developers24:40 Introducing the OpenClaw monitoring app29:33 Talking about upcoming super apps32:03 Fable 5 availability announcement34:43 Building projects with Fable 5Keywords: Anthropic, Fable 5, Sonnet 5, Opus 4.8, Haiku 4.5, Mythos 5, Large Language Models, AI model naming, AI benchmarks, agentic models, adaptive thinking, 1 million context window, token output, AI hallucination rates, Anthropic subscription plan, AI API pricing, AI free plans, ChatGPT Finance, Plaid integration, finance AI assistant, OpenAI personal finance, financial data privacy, iOS AI apps, Android AI apps, OpenClaw, open source AI agent, AI mobile companion app, NotebookLM, AI video generation, vertical video, cinematic video, Gemini paid users, educational AI videos, doom scrolling video format, AI-powered coding agents, Cursor, cloud AI agents, remote desktop AI, iOS live activities, PR merge on mobile, X API, Twitter MCP server, social listening AI, developer AI tools, AI super app, project Glasswing, US AI export controls, government AI regulation, classifier guardrails, secure AI data, AI for marketers, subscription replacements, Codex, Claude cowork, Claude code, Codex remote control, always-on AI.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Here's a little secret: ChatGPT tasks are the Gateway Agent. 🤖(And you've probably been overlooking the recent update that made them crazy powerful.) About two weeks ago, OpenAI announced the sunset of its proactive Pulse feature and instead folded those efforts in an upgraded version of their previously released ChatGPT Tasks. An d while most overlooked the actual new features in Tasks, it's actually the under the hood updates over the past year since Tasks were originally released that make it more powerful than ever. Join us for AI at Work on Wednesdays as we share what's new and dish 5 secret shortcuts for Tasks you should be using. ChatGPT Tasks: What’s New, How They Work and 5 Secret Shortcuts to Use Today -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:ChatGPT Pulse Sunsetting & TransitionNew Features in ChatGPT TasksChatGPT Tasks Usage Limits by PlanChatGPT Tasks User Interface UpdatesBest Practices for Scheduling TasksTask Scheduling with App IntegrationsEditing and Managing Scheduled TasksSecret Shortcuts for ChatGPT TasksMCP Developer Mode and IntegrationAgentic Capabilities of ChatGPT AppsTasks Functionality Within ProjectsStacking Memory for Task AutomationTimestamps:00:00 Overview of ChatGPT tasks05:06 New task scheduling features06:55 Removing Pulse feature complaints11:58 Scheduling tasks with AI integration12:58 AI automating daily scheduling16:54 Using Chegg GPT for stock updates20:51 Updating developer mode functionality23:25 App capabilities have evolved26:56 Using ChatGPT to simplify tasksKeywords: ChatGPT tasks, ChatGPT scheduled tasks, OpenAI, AI automation, proactive AI, ChatGPT Pulse, scheduled task creation, recurring tasks, ChatGPT task features, ChatGPT task shortcuts, ChatGPT integrations, AI apps, model context protocol, MCP, developer mode, ChatGPT plus, ChatGPT pro plan, ChatGPT enterprise, workflow automation, Google Calendar integration, Gmail integration, Google Drive integration, project management AI, AI memory, context stacking, app connectivity, agentic apps, AI scheduling, team plan, custom prompts, ChatGPT sidebar, web interface, mobile interface, projects feature, advanced settings, notification improvements, automated daily summary, interactive charts, financial tracking AI, Codex super app, AI cheat sheet, end date scheduling, high thinking mode, data enrichment, AI personal assistantSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

All frontier AI models are reportedly delayed. ⏳New reports show that frontier models there were supposed to be released this month like GPT-5.6 and Gemini 3.5 Pro have been delayed as a result of the ongoing Anthropic vs. U.S. Government dispute. So while we may have to wait a few more weeks for SOTA AI models, we DID get a ton of new AI features and model updates that are available now. Tune in as we dish the 7 new AI features that can change your workflow today. Claude Tag, Gemini Home, Copilot Excel Skills and 7 other AI Features Available Today you Should Be Using — An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:GPT 5.5 Instant Model Upgrade DetailsGoogle Finance AI Portfolio Tracker LaunchGemini-Powered Google Smart Speaker ReleaseClaude Tag Collaboration in Slack ExplainedCanva Grow 2.0 Automated Marketing PlatformGemini in Chrome Select from Screen FeatureMicrosoft Copilot Skills Automation in ExcelTimestamps:00:00 Upcoming AI Model Releases Delayed05:44 Switching between AI models07:15 AI-powered portfolio analysis tools12:51 Setting tasks with voice commands15:20 Introducing Claude team plan17:55 Discussing Anthropic's new feature21:50 Canva's New Feature at Cannes25:11 New Chrome Feature Overview28:45 Using Copilot skills in Excel31:33 Show schedule and subscribingKeywords: GPT 5.5 Instant, OpenAI, AI model update, conversational AI, large language models, Gemini 3.5 Pro, Google AI, Anthropic, Claude Tag, Slack integration, Claude Enterprise, Claude Team Plan, Claude Slack app, multiplayer AI in Slack, channel manager AI, proactive AI assistant, Google Finance app, portfolio tracking, AI research tool, finance AI, Android AI apps, iOS AI rollout, AI-powered key moments, smart speakers, Gemini for Home Assistant, Google smart speaker, natural language conversations, Siri, Alexa Plus, bidirectional voice mode, Google Calendar integration, AI home assistant, Canva Grow 2.0, performance marketing AI, ad automation, campaign optimization AI, Magic Layers integration, LinkedIn ads, TikTok ads, Meta ads, Gemini in Chrome, select from screen, computer use capabilities, Gemini 3.5 Flash, Chrome AI features, Microsoft Copilot, Excel AI, Copilot skills, reusable Copilot workflows, finance skills in Excel, business intelligence AI, custom Excel skills, markdown skills for AISend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Good news: OpenAI's GPT-5.6 has been released! 🥳Bad news: 99.9% of users can't access it. 😥While OpenAI has had to change their release approach due to increased government involvement in AI oversight, the majority of AI leaders are stuck in a new bind: Sitting and waiting for AI access. Since Anthropic's Fable fights with the U.S. government, the Trump admin has increased its regulatory oversight. But don't sit and wait. Because when availability opens to all, your org will need to be ready. We'll help you understand the lay of the new land. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:OpenAI GPT-5.6 Announcement & DelayFederal Government’s AI Model Review ProcessGPT-5.6 Model Family: Sol, Terra, Luna ExplainedNew Durable Product Tiers in OpenAI ModelsBreakdown of GPT-5.6 Sol, Terra, Luna PricingGPT-5.6 Benchmarks: Coding and Agentic TasksSafety, Cybersecurity, and Bio-Risk CapabilitiesAnthropic Shutdown Compared to OpenAI LaunchUS-China AI Race and Model Distillation IssuesEnterprise AI Supply Chain & Access RisksOperator Playbook: Model Fallbacks and RoutingTimestamps:00:00 Delayed GPT-5.6 release concerns04:37 Explaining GPT 5.6 Model Tiers08:50 Luna usage by developers11:08 Previewing new model with US government12:53 OpenAI's government collaboration concerns15:55 Cutting Costs on AI Tokens19:02 OpenAI model safety concerns24:13 Anthropic's export order issue27:46 Accessing the Start Here series30:11 US enterprises and Chinese open source models34:10 Managing AI model access risks36:41 Navigating AI model restrictionsKeywords: GPT-5.6, OpenAI, AI model update, GPT upgrade, new language model, US government AI regulation, Frontier Labs, AI safety, government scrutiny, model access limitations, Sol Terra Luna, durable product tiers, API access, Codex, enterprise AI, model benchmarking, Sol model, Terra model, Luna model, AI cost efficiency, token pricing, cybersecurity capabilities, biological chemical capabilities, agentic workloads, coding benchmarks, terminal bench, exploit bench, safety stack, model overstepping instructions, model card, emergent capabilities, cyber executive order, federal involvement, Anthropic, Mythos 5, Fable 5, AI export controls, model shutdown, AI race US vs China, model distillation, Chinese labs, proprietary models, open source AI, AI military use, model routing, model fallback, supply chain risk, AI democratization, enterprise AI strategy, model subscription, model release restrictions, AI workflow optimization, artificial intelligence index, LM arena, GLM 5.2, Google Gemini 3.5 ProSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

OpenAI has released GPT-5.6, but the majority of us will have to wait. ⌚After the Anthropic vs. U.S. Government feud, it now looks like we'll have to wait for frontier models. That wasn't the only big AI news headline that might change your company's AI strategy. Anthropic got the green light to roll out Mythos 5 to a select few, Google reportedly extended its strike team to catch up on coding and more. OpenAI’s limited release of GPT-5.6, Mythos starts slow reinstatement, OpenAI gets spicy and more AI news -- An Everyday AI chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:OpenAI GPT-5.6 Limited Release ExplainedOpenAI Sol, Terra, Luna Model NamingUS Government Restrictions on AI RolloutsAnthropic Mythos 5 Access and StandoffAnthropic Fable 5 Suspension DetailsGoogle Gemini 3.5 Pro Release DelayedGoogle's AI Coding Mid-Training InitiativeRaiseUS Nonprofit: AI Workforce AdaptationAnthropic Accuses Alibaba of Model DistillationOpenAI & Broadcom Unveil Jalapeno AI ChipKey AI Industry Partnerships & Product LeaksTimestamps:00:00 OpenAI's GPT 5.6 limited release06:14 OpenAI's new model release details09:54 Access suspension and negotiations13:18 Google's AI strategy and delays16:33 Anticipating Gemini 3.5 Pro Release20:40 Accusations of AI model theft24:48 OpenAI and Broadcom chip partnership28:05 OpenAI's recent developments and updates29:56 OpenAI and AI weekly updatesKeywords: GPT-5.6, OpenAI, Anthropic, Mythos 5, Fable 5, Frontier models, Gemini 3.5 Pro, Google, model rollout, limited AI access, AI safety, US government AI regulation, Sol model, Terra model, Luna model, Max reasoning mode, Ultra mode, sub agents, advanced AI benchmarks, coding workflows, cybersecurity, third-party AI analysis, government licensing, AI model guardrails, AI model democratization, model naming scheme, model availability, AI model security, jailbreak resistance, safety filters, general model access, trusted testers, AI export control, national security, Anthropic pullback, supply chain risk, defense department, AI industry competition, talent loss, AI coding, mid training, engineering agents, AI strike team, RaiseUS nonprofit, workforce AI disruption, technology policy, industrial scale distillation, Alibaba, AI model theft, China-US tech tensions, distillation attacks, Jalapeno AI chip, Broadcom, AI inference, custom hardware, data center GPUs, Microsoft, Meta, Elastic compute, AI-powered career navigation, Slack Claude Tag, Canva Grow 2.0, Copilot skills, AI ad creation, AI automation, DigitalOcean plugin, Apple hardware AI, smart glasses, Vision Pro, portfolio tracking AI, Google Finance, home smart speakers, voice AI, GLM 5.2, open source AI, US labor market AI effects, AI job disruption, model leaks, government approval delays.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Talking about prompts and chatbots won't help you talk about AI strategy in 2026. You've gotta know the ins and outs of loops, plans, goals, subagents and more. In this episode of Everyday AI, we're breaking down the agent lingo and how the key terms play out in systems like Codex and Claude Desktop. Desktop Agent Lingo Simplified: Goals, Loops, Plans, Subagents and how it works in Codex and Claude Code -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Desktop Agent Vocabulary PrimerAgent Harnesses: Codex vs. Claude CodeDesktop Agent Plans: Features and WorkflowGoal Setting in Codex and Claude DesktopPlan vs. Goal: Key DifferencesAgent Loops: Automation and VerificationSub Agents: Parallel Task ManagementContext Windows and Task DelegationGuardrails, Verification, and Cost ControlTransition from Chatbots to Autonomous AgentsTimestamps:00:00 Shifting focus to AI agents03:28 Accessing the Start Here series09:31 Using plan mode in clawed desktop12:04 Understanding plan vs. goal mode14:25 Setting project goals and planning19:33 Accessing Start Here series22:03 Building effective training loops26:48 Managing sub agents effectively27:30 Setting up sub-agent system30:47 Closing and subscription reminderKeywords: desktop agent, desktop AI agent, agent lingo, agent vocabulary, long running agent, autonomous agent, codex, Claude Code, Claude desktop, AI harness, agentic harness, agentic tools, super app, Microsoft super app, OpenAI codex, long running desktop agents, plan mode, planning phase, agent plan, goal setting, AI goal, agent goals, loop mode, agent loops, scheduled automations, sub agents, agent subagents, context windows, parallel work, context hygiene, verification steps, approval points, skills, automations, API token usage, project threads, co work tab, code tab, work trees, checkpoints, file access, browser automation, human in the loop, token efficiency, agent delegation, AI supervision, knowledge work automation, AI subagent management, desktop agent mental model, computer control, AI project management, AI workload delegation, remote steering, front end chatbot, proactive AI, AI context sharing.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Ever wish your agent would just watch you work and copy you? 👯Oh wait, that's exactly what OpenAI released. The new 'Record and Replay' feature in Codex allows you to simply record anything you do and turn it into a repeatable workflow for your agents. Join us LIVE as we show you how. ⏺️Codex Record and Replay: How to Teach an Agent Once Your Most Time-Consuming Workflows -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Codex Record and Replay Feature OverviewTransition from Prompting to DemonstrationSkill Markdown Files as Business ArtifactsCodex vs Claude Desktop Agent ComparisonWorkflow Recording and Security Best PracticesStep-by-Step Codex Record and Replay DemoVideo Understanding Capability in CodexEditing and Sharing Skills Across PlatformsAutomating Multi-App, Cross-System WorkflowsValidation, Scheduling, and Automation of SkillsTimestamps:00:00 OpenAI's record and replay feature04:41 Preparing for screen sharing08:56 Managing Small Tasks Efficiently10:03 Automating top story analysis15:43 Debating AI business strategies18:29 Codec's video ingest feature22:01 Practicing low stakes automation24:57 Using skills and plugins efficiently26:19 Using Chattopty for workflow automationKeywords: codex record and replay, OpenAI record and replay, record and replay feature, codex workflow automation, proactive AI agents, skill.md file, skill markdown file, editable skill files, demonstration over prompting, desktop AI agents, Mac AI features, video ingestion AI, video understanding by AI, cross-platform AI workflows, AI workflow scheduling, codex plugins, codex Chrome profile, AI screen recording, reusable AI skills, skill file cross-compatibility, Claude desktop import, Google Gemini video support, AI workflow privacy, enterprise AI permissions, low stakes workflow automation, scheduled AI automations, computer use access, browser automation AI, AI handling Chrome profiles, prompt engineering replacement, automation library, validation of AI skill files, skill validator, PyYAML error handling, skill replay, Codex versus Claude, multi-app workflow automation, real business artifact AI, automation success criteria, desktop program integrations, computer task recording, mundane workflow automation, non-technical AI setup, AI scheduled worker, AI skill refinementSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Is the open model GLM-5.2 really Opus 4.8 level? 🤯You mighta missed this, but over the past few weeks, three distinct forces have all converged at one: ↳ Chinese open models are near frontier SOTA↳ Microsoft is reportedly considering open models to run Copilot↳ Enterprises everywhere are talking token efficiency as AI costs soarSo while many are watching GLM-5.2 as an isolated model, it's important we dive deeper on its wider implications.Open Source Surge? Does GLM-5.2 Make Open Source an Enterprise Priority? -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Open Source AI's "ChatGPT Moment"GLM 5.2 Model Benchmarks & PerformanceEnterprise Adoption Drivers for Open AIMicrosoft Evaluating DeepSeek for CopilotToken Maxing to Token Efficiency ShiftGLM 5.2 Infrastructure vs. Consumer UseAutonomous Workflow Overshoot ExplainedCapability Gap and Workflow ChallengesEnterprise Scenarios for Open Source ModelsFuture of Task-Specific SOTA AI ModelsTimestamps:00:00 Open source AI catching up04:52 Enterprise shift to DeepSeek models08:57 Comparing AI model performances12:46 Running AI models locally14:17 Open source model cost efficiency17:37 Cost challenges with AI models21:05 Agentic task token consumption25:05 Introducing the Start Here series27:58 Impact of AI on Job Roles32:29 Evaluating Open Source AI Models36:00 Considering open source models37:09 Future of open source AIKeywords: open source AI, open source AI models, GLM 5.2, z AI, Zhipu AI, Chinese open source models, DeepSeek, Microsoft, enterprise AI, token maxing, token efficiency, AI spend, AI deployment, open weight models, proprietary AI models, AI benchmarks, Artificial Analysis Intelligence Index, enterprise infrastructure, agentic workflows, coding tool use, autonomous agents, long context window, coding capabilities, API costs, AI privacy considerations, model distillation, data privacy, compute requirements, GPU infrastructure, AI hardware, API hosting, Hugging Face, AWS, AI cost reduction, Copilot Cowork, Azure security, Anthropic, OpenAI, Claude Opus, multimodal models, task-specific AI models, model capability gap, autonomous workflow overshoot, agentic tasks, non-agentic tasks, state of the art open models, model fine-tuning, small language models, AI adoption barriers, frontier models, AI job automation, workflow transformation, AI subsidies, token billing, Stanford AI study, AI industry trendsSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

While Anthropic and the U.S. Government continued to try and make amends, there was another seismic shift quietly taking place: open source surged. Between Microsoft reportedly testing Open Source models for Copilot and the powerful new GLM-5.2, there was a clear trend this week in AI world. Missed it all? Don't worry, we'll catch you up so you can make the informed decisions for your company. Anthropic Continues Fable Fight, Microsoft Goes Open Source, Midjourney’s Big Pivot and More AI News That Matters -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Anthropic Fable 5 and Mythos 5 Export BanTrump Labels Anthropic a National Security ThreatMicrosoft Copilot CoWork Open Source Model SwitchMicrosoft Considers DeepSeek-V4 for AI Cost ReductionChinese GLM 5-2 Sets Open Source BenchmarkGLM 5-2 Challenges Proprietary AI ModelsMidJourney Hardware Pivot: AI Medical Imaging ScannerCursor Building 1.5T Parameter Model, GitHub CompetitorAI CEO Summit: G7 Pushes US-Led AI CoalitionOpenAI Prepares GPT-5.6 ReleaseAnthropic, OpenAI, Google Face Geopolitical AI ScrutinyAdvancements in Token Efficiency and Cost ControlTimestamps:00:00 Trump's comments on Anthropic06:17 Microsoft exploring lower-cost AI models09:07 Microsoft exploring DeepSeek amid tensions13:45 AI model performance and efficiency trends15:59 AI leaders meet at G7 Summit21:22 Midjourney unveils first hardware product23:26 MidJourney's innovative spa technology28:50 Discussing Cursor's evolution and impact32:24 Talking about AI use cases33:27 Rumors and upcoming AI model releases37:20 OpenAI's major new hiresKeywords: Anthropic, Fable Five, Mythos Five, export controls, national security threat, Dario Amodei, Amazon, supply chain risk, Defense Production Act, Copilot CoWork, Microsoft, usage based pricing, open source AI, DeepSeek V4, Chinese AI model, token costs, Azure, agentic AI, enterprise AI billing, data security, compliance filters, GLM 5-2, Zhipu AI, 753 billion parameter model, MIT open source license, long context window, autonomous coding, Hugging Face, benchmark performance, text only model, multimodal capabilities, token efficiency, AI spend, G7 summit, AI governance, AI coalition, AI standards, cybersecurity risks, bioterrorism, chip trade, Sam Altman, OpenAI, Claude Opus 4.8, Gemini 3.5 Pro, MidJourney, medical imaging, MidJourney scanner, full body ultrasound, Butterfly Network, MRI alternative, spa launch, SpaceX, Cursor, 1.5 trillion parameter model, code hosting, GitHub competitor, code generation, AI super apps, Colossus compute, technical prompts, context window expansion, GPT 5.6, Claude Conway agent, Grok Imagine, Firefly AI, code artifacts, Google Ad Manager AI, Open Knowledge Format, Noam Shazeer, Dean Ball, Andrej Karpathy.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

ChatGPT tasks are back, Jack. ✅While we were collectively ping-ponging the Anthropic vs. U.S. government saga, the big tech AI players rolled out a TON of fresh AI features that are available today. ↳ Claude Design got a big upgrade↳ Google Vids got some serious AI sparkle↳ And there's a new Open Weights model king We'll break it all down. ChatGPT’s Task Comeback, Claude’s Design upgrade, Codex Copies your workflow and 7 other Fresh AI features you’ll Want to use Today -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:ChatGPT Pulse Sunsetting and Tasks Comeback2. ChatGPT Scheduled Tasks Features and Access Tiers3. Claude Design June Update Overview4. WYSIWYG Editing and Design System Imports in Claude Design5. Claude Design Export Options and Third-Party Integrations6. Google Vids AI Avatars Upgrade with Veo 3.17. OpenRouter Fusion Multi-Model Synthesis Feature8. Claude Code Artifacts for Team and Enterprise Plans9. GLM 5.2 from ZAI Open Weights Model Overview10. GLM 5.2 Benchmarks and Enterprise Use Cases11. OpenAI Codex Record and Replay Feature Explained12. Codex Record and Replay vs. Traditional RPA ToolsTimestamps:00:00 Intro: 7 new AI features you can use today02:35 ChatGPT Tasks: Pulse is gone, Tasks are back04:31 Who has access to ChatGPT Tasks08:18 Claude Design June update overview09:14 WYSIWYG editing and Claude Code integration12:07 Claude Design export options and third-party integrations15:21 Google Vids AI Avatars upgrade18:15 OpenRouter Fusion multi-model synthesis21:54 Claude Code Artifacts for teams25:36 GLM 5.2 from ZAI open weights model29:02 OpenAI Codex Record and ReplayKeywords: ChatGPT Tasks, ChatGPT Pulse, OpenAI, scheduled tasks, proactive AI agent, Claude Design, WYSIWYG editor, Claude Code, design system import, PowerPoint export, Google Vids, AI avatars, Veo 3.1, Gemini 3.1 Flash, OpenRouter Fusion, model fusion, multi-model synthesis, Claude Code Artifacts, Claude Team plan, GLM 5.2, ZAI, open weights, MIT license, mixture of experts, Codex Record and Replay, RPA, workflow automation, Artificial Analysis, Hugging Face, Canva integrationSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

The Fable 5 drama continues.... but what does it really mean? 🤔Anthropic released the most powerful AI model in the world, only for it to be pulled worldwide days later over bio and cyber concerns. Sound like a tough break, right? But, was the writing on the wall all along? Was Anthropic asking for this type of regulation? And what does the future of heavy-handed government regulation mean for your company and its AI strategy? We'll tackle it all, LIVE. Fable 5 Drama Updates: The latest Between Trump vs. Anthropic and How it Impacts You -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:What Are Fable V and Mythos V: Differences Explained2. Anthropic's Pre-IPO Timeline From April Through June3. The Government's Export Control Directive: What It Said4. Anthropic's Blog Post Response vs. David Sacks' Rebuttal5. Amazon CEO Andy Jassy's Role in Triggering the Crackdown6. China-Linked Access and the Geopolitical Stakes7. Day-by-Day Breakdown: Friday Through Wednesday8. Reactions From Alex Stamos, Yann LeCun, Jeremy Howard9. CyberGym Benchmark and Microsoft's MDash Comparison10. Safety Theater Accusations Against AnthropicTimestamps:00:00 Fable V drama overview and why it matters01:35 Big picture recap and episode roadmap03:51 Fable V vs. Mythos V explained, Project Glasswing05:01 Anthropic's pre-IPO hype timeline April to June06:31 Friday: government directive and global shutdown07:53 Pre-IPO context: SpaceX comparison and market stakes11:42 Background: February Pentagon dispute origins13:48 Friday export directive and Anthropic's blog post statement16:19 David Sacks rebuttal read in full21:48 G7 summit, Amazon's role, and the China connection26:57 Tuesday security letter and Wednesday Wired report30:59 Industry reactions: LeCun, Stamos, Howard, Ottenheimer36:44 Jordan's full hot take: Anthropic's IPO chess game43:09 What your company should do nowKeywords: Fable V, Mythos V, Anthropic, Dario Amodei, export control directive, jailbreak, national security, Howard Lutnick, David Sacks, Andy Jassy, Project Glasswing, Anthropic IPO, US government, Trump White House, Pete Hegseth, Amazon AWS, CyberGym benchmark, Microsoft MDash, Yann LeCun, AI safety theater, frontier AI, enterprise AI strategy, fallback models, G7 summit AI, geopolitics AISend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

For 799 episodes, we’ve cut it to you straight on AI. (Episode 800 will be no different.) To celebrate our 800th episode, we took a ‘State of AI’ type look across the sector and broke down three big categories: 8 Uncomfortable AI Truths, 10 Moves Smart Teams Are Making, 10 Questions Every AI Leader Must Ask. Join us as we break it all down. Celebrating our 800th Episode: 8 AI Truths, 10 Smart AI Moves and 10 Questions You Must ask — An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Eight Uncomfortable AI Truths for LeadersAI Model Risk: Single-Model DependencyMoats Shifting to AI Operating LayersWorkflow Design vs. Prompting in AIStatic Business Artifacts Becoming AI DebtWorkflow Automation and AI Task ReshapingOpen Weight Models as AI ResilienceAgentic AI: Operational vs. Theoretical RisksTen Smart AI Team Moves ExplainedPortable AI Stack Building StrategiesWorkflow Mapping Before AI Tool AdoptionBuilding Role-Specific AI Skill PacksAutomating Reports and Briefings with AIConverting Static Files to Living ArtifactsAI Agent Deployment: Read-Only Mode TestingRouting Work by Model Value and CostMeasuring AI Output Quality, Not ActivityRed Teaming AI Workflows Beyond ModelsCapturing AI Decision Reasoning for BusinessTen Critical AI Questions for LeadersTimestamps:00:00 Episode 800: 8 AI Truths, Leader Moves05:40 Rising Trend of AI Super Apps07:37 AI series and future capabilities13:01 Challenges of AI Implementation14:33 Impact of AI on Work Processes19:44 Microsoft's open-source AI strategy23:24 Avoiding shiny new AI tools25:44 Using marketing skill packs29:38 Criticism of human-in-the-loop systems33:44 Managing AI and Cost Efficiency35:50 Evaluating AI content effectiveness40:15 Key questions for leaders42:35 Challenges in AI workflow management44:52 Evaluating AI costs and outputs48:20 The rise of AI capabilitiesKeywords: AI truths, AI workflow automation, generative AI, artificial intelligence, AI model risk, single model strategy, business continuity, model export control, government AI policy, operating layer, AI super apps, codex, unified memory, large language models, agentic AI, workflow design, AI prompting, scheduled tasks, AI skills, context engineering, static business artifacts, organizational debt, AI native deliverables, autonomous AI, AI job redesignSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Ready for the AI buzzword for the rest of 2026? Superapps. No, not China’s WeChat. The AI Superapp era is much different, and it’s about to hit the business world hard. So, if you aren’t sure what an AI Superapp is or if your company should be using one, this is an episode you can’t miss. AI SuperApps: Why Every Company is Racing to Create One and What They are — An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:AI Super App Race: OpenAI, Anthropic, MicrosoftWhat Is an AI Super App? ExplainedAgentic Shift: Chatbots to Autonomous CoworkersSuper App Harness vs. AI Model as MoatThree-Pane Super App Interface InnovationCodex vs. Cursor vs. Claude BenchmarksEnterprise Desktop Integration and Super App StrategySuper App Security, Risks, and Best PracticesTimestamps:00:00 Super app race and ChatGPT integration06:04 Emergence of desktop super apps08:41 Codex as the leading super app11:22 Shift to AI desktop super apps14:13 The AI super app's proactive updates17:26 Token efficiency in super apps21:29 Future of AI model usability27:03 Anthropic's role in AI development30:19 Google's Gemini 3.5 and Anti-Gravity Launch33:13 Risks and responsibilities with AI apps34:31 Cautionary advice on AI usage38:03 Introduction to AI super appsKeywords: AI super app, AI superapps, super app era, desktop super app, agentic AI, autonomous coworker, agentic context carry, agentic work future, AI execution layer, super app harness, model moat, code interpreter, Codex, OpenAI super app, Microsoft super app, GitHub Copilot, Anthropic, Claude Code, Claude Cowork, Google anti gravity, Gemini 3.5 Flash, Cursor, desktop agentic coworker, unified memory, files automations, approvals and automations, browser control, computer use, three pane interface, context engineering, prime prompt polish, token efficiency, user experience, read-write access, autonomous workflows, desktop AI companion, schedule automations, approval workflows, cross-app integration, enterprise adoption, permission controls, role based access, sandboxing, expert-driven loop, AI safety, risk management, computer automation, enterprise AI strategy, AI model integration, productivity automationSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

The drama around Anthropic's Fable 5 model clogged our collective attention spans. 👀But in between all of that? OpenAI filed to go public, Apple announced its next generation of AI, SpaceX had a record-breaking day on the stock exchange and more. Chances are you missed quite a bit of this. We've got you with our weekly 'AI News That Matters' series. Ep 798: SpaceX goes public, OpenAI declares pricing war, Microsoft stops Claude Fable use and more AI newsNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Anthropic Fable 5 Shutdown by U.S. GovernmentApple WWDC AI Announcements and Siri Gemini IntegrationOpenAI ChatGPT Super App Transformation NewsOpenAI IPO Filing and Pricing War PlansPrometheus AI Funding and Artificial General Engineer InitiativeGoogle AI Overviews German Court Ruling ImpactAnthropic Fable 5 Data Retention ControversyMicrosoft Internal Ban on Anthropic Fable 5SpaceX IPO Launch and xAI/Grok IntegrationMajor AI Industry Funding, Partnerships, and Regulatory MovesTimestamps:00:00 White House halts Anthropic AI04:06 US government export control on AI09:25 Apple's latest AI system updates13:48 Chat is dead, new OpenAI direction14:57 Enterprise focus and competitive shift20:12 Prometheus $12B funding and AI focus23:22 Legal challenge over Google's AI search26:00 Anthropic's new AI models30:51 Concerns about data retention policy33:48 Critiques on Fable 5 limitations37:03 Recent AI developments and IPOs41:35 SpaceX becoming a compute player42:56 Discussing SpaceX and AI computeKeywords: Anthropic Fable 5, Mythos five, Anthropic, OpenAI, IPO filing, AI pricing war, Apple Intelligence, Siri AI update, Gemini AI, Privacy-first AI, Large Language Model, AI model safeguard, National security AI, Export controls, Amazon AI investment, Microsoft Copilot, Data retention policy, AI guardrails, Enterprise AI, Token pricing, Super app, Agentic models, AI in manufacturing, Artificial general engineer, Prometheus AI, Jeff Bezos AI investment, Project Glasswing, Cybersecurity AI, Google AI Overviews, AI-generated content, German court AI ruling, Search AI summarization, AI in search, AI benchmarks, API access AI, AI hallucinated citations, AI infrastructure funding, China AI funding, SpaceX IPO, GROC, xAI, AI compute, AI ecosystem, Colossus data centers, AI leadership, AI industry backlash, AI compliance standards, Enterprise data security, HIPAA AI compliance, AI lawsuit, AI in engineering, AI agent swarmsSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

If you spent too much time prompting Claude's Fable 5 before it likely goes away to subscribers in 10 days, you might have missed some AI gems. 💎↳ Google's new live model might change how the world communicates↳ ChatGPT rolled out interactive charts and email sending↳ Microsoft Copilot rolled out an interactive board of advisorsAnd a lot more. Claude's Mythos and Fable 5, Google’s New Live AI, ChatGPT’s New Powers and 7 Other AI Features You Can’t Afford To Not Use-- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Anthropic Claude Fable 5 Mythos Model OverviewClaude Fable 5 Data Retention Policy ControversyMicrosoft’s Stance on Claude Mythos Model IntegrationClaude Fable 5 Benchmark Performance AnalysisGoogle Gemini 3.5 Live Speech Translation DemoReal-Time AI Translation for Google Meet & AppsChatGPT Interactive Charts and Visualizations UpdateChatGPT Inline Email Drafting and Sending FeatureMicrosoft Copilot Studio Rebuild and Workflow EnhancementsCopilot Multi-Agent Team of Advisers IntroductionHeyGen Hyperframes Video Plugin for ClaudeOpenAI Canvas and Writing Blocks Feature NotesTimestamps:00:00 New AI features this week05:56 Concerns over Anthropic's data retention07:28 Infropic's expensive but useful API12:27 Live translation in real-time15:32 Enhanced ChatGPT features18:45 Microsoft 365 Copilot updates20:37 Improved AI agent building tools24:32 Testing HeyGen and Codex features27:45 Explaining AI advisers feature31:42 Live demo of new email feature33:42 Upcoming AI AnnouncementsKeywords: Claude Fable 5, Anthropic Claude, Mythos family, Mythos 5, Project Glasswing, AI model release, large language models, Microsoft Copilot, multi agent group, Google live translation model, speech to speech translation, Gemini 3.5 Live, Google AI Studio, interactive charts, ChatGPT, AI-powered email, send emails in chatbot, Microsoft Foundry, AWS Bedrock, Vertex AI, API pricing, data retention policy, cybersecurity safeguards, software engineering AI, knowledge work, vision AI, scientific research AI, benchmarking AI models, instruction following, context retention, turn-by-turn translation, Google Meet translation, real time translation, noisy environment translation, business language translation, writing blocks, editing messages with attachments, Copilot Studio, low code AI, agentic orchestrator, workflow automation, HeyGen Hyperframes, video editing AI, HTML video framework, AI-powered video generation, Copilot team of advisers, AI roundtable, multiple AI perspectives, Copilot Labs, Gmail integration, Outlook integration, email workflow AI, productivity AI, enterprise AI tools.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Anthropic's new Claude Fable 5 is both the best model in the world and potentially one of the most dangerous. 😳The best coding model on the planet. Viral abilities to create 3D worlds and interactive environments. But the real question is: should you use it. Because as capable as Anthropic's new model is, the amount of hidden downsides might be enough for any enterprise to say no. Join us LIVE to learn more. New Claude Fable 5 and Mythos 5: Anthropic's Boldest, Riskiest Launch -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Claude Fable 5 and Mythos 5 OverviewStripe's Code Migration with Claude Fable 5Fable 5 Capabilities vs. Opus 4.8Claude Fable 5 Access Restriction TimelineFour Major Drawbacks of Fable 5Benchmark Comparisons: Fable 5 vs. GPT-5.5Usage Limits and Downgrades in Fable 5Anthropic's New Data Retention PolicyInstruction Following and Long Context PerformanceFable 5's Coding and 3D Simulation AbilitiesSubscription vs. API Pricing ModelsAnthropic's Enterprise Targeting and IPO StrategyTimestamps:00:00 Anthropic's powerful new AI release03:21 Introducing the Fable model drawbacks07:22 Discussing user habits with Fable12:35 Using Fable five before June 2214:51 New data handling policies19:08 Discord data breach concerns21:52 Agentic capabilities and pricing tiers25:35 Comparing AI model performance27:13 Issues with model instruction following32:14 Evaluating AI investment value33:18 Discussing language model efficiency38:57 Downsides of using Fable AI41:11 Anthropic's data retention issues45:01 Evaluating new AI models46:12 Closing and subscription reminderKeywords: Claude Fable 5, Claude Mythos 5, Anthropic, frontier AI model, AI capabilities, capability shock, step change AI, AI model launch, Stripe code migration, 50 million line code base, API access, democratization of AI, enterprise AI, data retention policy, 30 day retention, AI privacy, Claude model lineup, Haiku, Sonnet, Opus 4.8, Fable 5 guardrails, Project Glasswing, usage restrictions, model downgrades, hidden fallbacks, input and output storage, benchmark comparisons, GPT-5.5 Pro, OpenAI, Gemini 3.1 Pro, Gemini 3.5 Flash, artificial analysis benchmarks, instruction following, long context reasoning, agentic capabilities, code generation, interactive 3D worlds, business leaders and AI adoption, AI subscription pricing, AI cost per intelligence, rate limits, model transparency, security safeguards, model distillation, model copying prevention, IPO, model hype, safe AI deployment, model trust.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

One of the biggest problems of vibe coding? Securely keeping the project up to date and sharing it with your team to make it actually useful. And there’s a new solution that does just that, Codex Sites. With a few simple prompts, you can turn vibe coded throwaway apps into working pieces of software that your team can share. We put AI to work on Wednesday and show you how to get the most out of Codex Sites. Codex Sites: The Lovable and Replit Killer? A hands-on Guide to Codex Sites -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Codex Sites vs Static File SharingLive Dashboards and Automated WorkflowsBuilding Internal Apps With Codex SitesReal-Time Data Integration in CodexAgent Layer and Role-Based Access ControlCodex Sites vs Replit, Lovable, BoltDynamic Business Insights and CollaborationCodex Sites Secure Team Sharing LimitationsAutomations and Custom Skills in CodexFuture of AI Native Business ToolsTimestamps:00:00 The future of work automation03:43 Free daily newsletter highlights08:29 Managing audience momentum dashboard12:04 Pulling stats and data access14:48 Creating dynamic web tools16:18 Editing video collaboration challenges21:09 Comparing coding platforms like Replit25:47 Future of Business Analytics Tools27:11 Introducing the Start Here series32:35 Updating old content ideas34:53 Streamlining team efficiency with AI37:02 Episode use cases overviewKeywords: Codex sites, OpenAI, AI dashboards, live software, file sharing, business automation, dynamic data, ChatGPT business, agentic system, Chrome integration, MCP servers, skills, plugins, Copilot Scout, internal dashboards, data analysis, role based access control, data governance, enterprise AI tools, site hosting, live app builder, prompt driven apps, automations, Replit alternative, Lovable competitor, full stack app builder, dynamic business context, annotation feature, nontechnical teams, BI dashboards, Kanban tracker, evergreen content, live indicators, audience momentum dashboard, sub agent, responsive design, visual design, parallax feature, actionable insights, version control, dynamic deliverables, artifact, demo over memo, knowledge work, IT security, internal URL sharing, AI native workflow, internal business tools, real time updates, start here seriesSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Apple just announced its “new” Siri AI. But is is ACTUALLY new? And will Apple actually be able to ship it? At its WWDC 2026 conference, Apple unveiled kinda the same thing it promoted at its WWDC 2024 conference but failed to deliver on. There’s a new Siri AI and improved Apple Intelligence that the company said will be rolling out later. So what does it do? And should you start readjusting your workflow now? We break it all down in today’s episode. Apple’s New Siri AI: Productivity Gamechanger or More Apple Intelligence Marketing Fluff? — An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Apple Intelligence and Siri AI OverviewApple’s AI Announcement History and LawsuitsSiri AI’s Context-Aware Capabilities ExplainedApple Intelligence Feature Availability TimelineNew Siri AI App and Cross-Device SyncVisual Intelligence and Spatial Reframing DemoHardware Requirements for Siri AI FeaturesGoogle Gemini Partnership for Apple IntelligenceComparison With Copilot, Gemini, and ClaudeLimitations and Delays in AI RolloutOn-Screen Awareness and Web SummarizationConsumer Usefulness and Privacy PositioningTimestamps:00:00 Discussing Apple's new Siri AI04:02 Apple's AI challenges and legal issues09:23 New Siri app syncing feature11:48 Siri's unhelpful AI response13:56 Apple's new AI photo tools18:26 Apple Intelligence controversy in 202421:21 Frustrations with Siri's dictation24:10 Concerns about Apple's AI performance26:54 Apple's late AI strategy29:39 Ending and call to actionKeywords: Apple Intelligence, Siri AI, Apple AI update, new Siri, AI productivity, Apple WWDC, iOS 27, Apple developer beta, context-aware AI, Apple intelligence features, Apple class action lawsuit, Apple AI lawsuit, Siri app, on-device AI, Apple iCloud sync, Siri on-screen awareness, visual intelligence, spatial reframing, Apple photo editing AI, image playground, Apple Safari AI, Apple privacy, Google Gemini partnership, Apple-Google AI, private cloud compute, edge AI models, AI reasoning, unified memory requirement, iPhone 17 Pro Max, Mac M chips AI, Apple dictation, AI assistant, message summarization, reminder integration, mail suggestion AI, home camera AI, AI in CarPlay, call context AI, slow AI response time, AI rollouts, AI hardware limitations, AI worldwide availability, Apple AI in EU, AI in China, privacy in AI, Apple Vision Pro AI, calendar AI integration, Copilot alternative, ChatGPT comparison, Microsoft 365 Copilot, Google Circle to Search, Claude AI, AI writing tools, AI summarization, AI message context, AI-powered reminders.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)