Leveling Up with Eric Siu

👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com OpenAI's DevDay 2026 opens new ways for marketers to get discovered and build useful workflows. I walk through Dots, plugin discovery, Sign in with ChatGPT, the enterprise Marketplace, Decisions API, and Agents API, then explain what these changes could mean for AEO, SEO and paid media. The opportunity: turn a workflow people need into something they can find and use. Access depends on the product, plan, partner and market. The enterprise Marketplace is a procurement channel; plugin discovery and paid ads are separate routes. Examples and forecasts are my analysis, not a promise of rankings or revenue. Chapters: 00:00 Why marketers should care 00:34 Plugin discovery 02:26 Sign in with ChatGPT 02:59 Single Grain 03:28 A LinkedIn advertising workflow 03:46 The enterprise Marketplace 04:11 A broader discoverability playbook 04:58 Decisions API 05:17 Agents API and computer use 06:32 Package a useful workflow 07:18 AEO, SEO and paid media Source and on-screen launch material: OpenAI's official DevDay 2026 recap https://openai.com/index/devday-2026-recap/ How to Connect IG: https://www.instagram.com/ericosiu/ X: https://x.com/ericosiu 👉 Single Grain - AI marketing firm https://www.singlegrain.com 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe

👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com I walk through nine ways I use Jev for marketing and business: SEO and AEO triage, draft quality checks, Instagram follower sorting, organic posts into ads, customer-call mining, recruiting, genuine-news outreach, LinkedIn engagers, and checks before an agent sends as me. Plus the mistake to avoid: waiting until the expensive work is finished to classify what was worth doing. These are my workflows and reported early batches, not guaranteed results. Chapters: 00:00 Jevmaxxing: the quality bar 00:31 1. SEO and AEO opportunity triage 02:39 2. Draft quality gates 04:34 Single Brain Gateway 05:01 3. Find useful Instagram connections 07:30 4. Turn organic posts into ads 09:44 Single Grain 10:14 The mistake: classify before costly work 11:00 5. Mine customer calls and measure hit rate 12:00 6–7. Recruiting and genuine-news outreach 12:43 8. Route LinkedIn engagers 13:34 9. Check before sending 13:51 What will you build with Jev? 👉 Single Grain - AI marketing firm https://www.singlegrain.com 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe How to Connect IG: https://www.instagram.com/ericosiu/ X: https://x.com/ericosiu

Cody Schneider joins Eric Siu to walk through how he builds AI marketing workflows: customer research to ad scripts and voice tracks, LinkedIn engagement to outreach, and a LinkedIn article to a live Google ranking check. We also cover the infrastructure, brand checks and testing process behind the work. The 250,000 monthly LinkedIn DMs mentioned in the conversation are a Nick Abraham example Cody cites. The live demo shows leads and a sequence prepared, not messages sent. The ad videos were still rendering at the end. The ranking and client performance figures are examples from the conversation, not guaranteed results. Chapters 00:00 11,000 ads: volume and brand checks 00:19 Ad workflow: research, scripts and voice tracks 09:24 LinkedIn outreach: targeting, offers and scale 20:23 SEO workflow: write, publish and check the ranking 26:11 The infrastructure behind all three workflows 32:27 Test ad creative and improve what works 34:31 Build, measure and next steps How to Connect IG: / ericosiu X: / ericosiu 👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com 👉 Single Grain - AI marketing firm https://www.singlegrain.com 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe

👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com I use Jev with Grokbot to screen the work our agents handle across recruiting, outbound sales, website leads, speed to lead, LinkedIn outreach, content and software renewals. In this walkthrough, I show the checks we use, the actual content review queue, and a mistake I made: letting the expensive model read everything before asking which passages deserved attention. The useful change is to screen the inputs earlier, inspect the evidence and decide what happens next. Chapters: 0:00 Jev + Grokbot = Superpowers 0:17 How the classifier works 0:59 From inputs to decisions 1:45 Recruiting and AI-fluency questions 3:33 Single Brain Gateway 3:58 Outbound: check the relationship first 5:00 Website lead qualification 5:12 Speed to lead 5:41 LinkedIn outreach 5:53 Content and AEO 7:14 Single Grain 7:38 The actual content review queue 8:27 Software renewal recommendations 9:01 Screen before expensive model work 10:01 Hold weak evidence 10:12 Ready is not permission to act 10:24 Your next step These are workflows and recommendations discussed in the recording. Illustrative lead counts and model scores are not measured accuracy, savings or business results. Jev provides judgments; the connected agents perform the next actions, with human review where needed. Image and video review still requires checking the actual media. How to Connect IG: https://www.instagram.com/ericosiu/ X: https://x.com/ericosiu 👉 Single Grain - AI marketing firm https://www.singlegrain.com 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe 👉 Connect your tools with Single Brain Gateway: https://www.singlebrain.com/gateway

👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com I put Claude Opus 5.5 and GPT-6 Astra through seven work tasks with the same prompts at medium settings. We compare YouTube packaging, ad teardowns, lead journeys, stalled deals, case studies and proposals, video editing, and AEO. Watch the actual outputs, follow the running score, and see where each model was useful. These are my results from these tasks. I still use and pay for both models. CHAPTERS 00:00 Opus 5.5 vs. GPT-6 Astra: the test 00:58 API token pricing 01:11 Round 1: YouTube packaging 03:10 Round 2: Ad teardown 06:17 Round 3: Lead journey 07:19 Single Grain 07:38 Lead journey: Opus results 09:24 Round 4: Stalled deals 12:50 Round 5: Case study and proposal 15:35 Single Brain Gateway 16:19 Round 6: Video editing 18:38 Round 7: AEO engine 20:57 Final score and which model to use The benchmark chart is from Artificial Analysis. Wispr Flow ads appear as examples in the ad teardown. Proposed ads shown are concepts, not campaign results. 👉 Single Grain - AI marketing firm https://www.singlegrain.com 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe How to Connect IG: https://www.instagram.com/ericosiu/ X: https://x.com/ericosiu

👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com 👉 Single Grain - AI marketing firm https://www.singlegrain.com 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe

👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com 👉 Single Brain Gateway - Connect your agents to your tools: https://singlebrain.com/gateway Keep the agents you already use. In this walkthrough, I show where I would add Jev to help classify work, check criteria and route uncertain cases for review. We cover content selection, recruiting, inbox triage, CRM review, customer language, sponsorships, outbound and SEO/AEO. I show the questions I want the workflow to answer and why the next agent still needs clear instructions. Several dashboard examples use fictional data. The TypeSafe benchmark is a vendor demonstration, not our own controlled test. These examples do not establish a 100x improvement or zero hallucinations. Chapters: 0:00 Upgrade your existing agents 0:23 Topic screening example 0:34 What Jev does 1:19 TypeSafe benchmark demonstration 1:53 Start with your workflows 2:05 Content and clip selection 2:30 Define a good result 2:42 Recruiting evidence and review 3:39 Single Brain 4:05 Choose the right workflow 4:42 Illustrative dashboard: inbox triage 4:52 CRM and revenue 5:10 Customer voice 5:50 Sponsorships 6:15 Outbound review 6:49 Search and AI visibility 7:23 Single Brain Gateway 7:52 Choosing useful clips 8:27 Stop duplicate content 9:23 Define your criteria 9:37 Keep human judgment 10:20 Where to start Demo credit: TypeSafe / Jev for the Wikipedia classification demonstration. Dashboard data is fictional and shown for illustration. 👉 Single Grain - AI marketing firm https://www.singlegrain.com 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe 👉 Join our team: https://www.singlegrain.com/careers/ How to Connect IG: https://www.instagram.com/ericosiu/ X: https://x.com/ericosiu

Meta Muse, Grok Bot, Instinct and Hermes: which AI agent is best for real work? I walk through the tasks I use each one for in my business and personal life, then share my daily-driver verdict. See Meta Muse rework content, Instinct tackle research and pitches, Grok Bot handle calls and routines, and Hermes analyze marketing data. These are my real workflows, not a controlled benchmark. Some are still internal tests. 00:00 Which Agent Is Best? 00:18 Meta Muse: reworking content 08:45 Single Brain (sponsor) 09:06 Meta Muse: recording cards 10:49 Instinct: research and pitches 15:24 Single Grain (sponsor) 15:48 Grok Bot: calls and routines 19:44 Hermes: marketing data and strategy 22:56 My daily-driver verdict 23:03 Why I use all four How to Connect IG: https://www.instagram.com/ericosiu/ X: https://x.com/ericosiu 👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com 👉 Single Grain - AI marketing firm https://www.singlegrain.com 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe

👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com Jev adds a decision layer to the AI agents you already use. In this walkthrough, I show how we use it with Grok Bot, Instinct, Meta Muse, and Codex for content checks, recruiting, software usage, creative briefs, and video workflows. The goal is to make better decisions at scale, then improve the checks using real feedback. I also show where the evidence is still thin and why human judgment stays in the loop. Chapters: 0:00 Why Jev feels like god mode for AI 0:57 Grok Bot: better SEO and content decisions 3:03 Recruiting: look beyond the job title 4:04 Check software usage before renewing 5:08 Instinct: a second opinion on your work 6:15 Single Brain: managed marketing agents 6:32 Ask what changed, then improve the checks 8:05 Meta Muse: test ideas before production 10:00 Codex: evaluate and improve content 12:30 Single Brain Gateway 14:00 Building better AI video workflows 15:31 Review the prototype and improve it 17:19 High scores are not enough evidence 17:49 Start with shadow judgment TypeSafe/Jev demo footage and vendor benchmarks are shown for context. Historical backtests and model judgments are not independent proof of accuracy or business results. How to Connect IG: https://www.instagram.com/ericosiu/ X: https://x.com/ericosiu 👉 Single Grain - AI marketing firm https://www.singlegrain.com 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe 👉 Connect your tools with Single Brain Gateway: https://www.singlebrain.com/gateway

How to Connect IG: / ericosiu X: / ericosiu 👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com 👉 Single Grain - AI marketing firm https://www.singlegrain.com 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe

👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com By 2027, the role of an AI native marketer will shift how we handle creative costs and digital strategy. 0:00 The Future of AI-Native Marketing 0:31 Mastering Autonomous Engine Optimization 2:24 Controlled CRO Loops for Higher Conversions 4:37 Building a Unified Company Brain 18:03 From Specialist to AI-Native Generalist 👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com 👉 Single Grain - AI marketing firm https://www.singlegrain.com 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe

👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe Everyone's talking about AI "loops" right now. Almost nobody is showing you how they actually make money. In this video, I share the real AI loops I run every day to grow revenue faster — and the difference between a loop and an agent that most people are getting wrong. ⬛ A GEO/AEO loop that finds page opportunities, drafts content, runs QA, and tracks results every week ⬛ A CRO loop that self-scores landing pages until they hit 95+ and lifts conversion rate on autopilot ⬛ A Talent OS recruiting loop that sources, follows up, and gets smarter every run ⬛ A sponsorship loop that negotiates my rates and learns new objections over time A loop isn't just a task that runs — it records its learnings and compounds on them. That's operating leverage. If you're a founder, leader, or operator, this is the highest-leverage thing you can be building right now. Chapter 00:00 The AI Loops That Actually Grow Revenue 00:50 Agent vs Loop: The Real Difference 02:47 Building Operating Leverage 03:57 The GEO/AEO Loop (Live in Codex) 06:06 Why It's a Real Loop 08:00 The CRO Loop That Self-Scores to 95+ 09:53 Using Last 30 Days for Content Ideas 11:30 Training Your Team on Loops 13:29 The 60-Hour Talent OS Recruiting Loop 15:54 The Mr. Sue Sponsorship Loop 19:47 Q&A: Getting Your Team to Step Up 23:08 Where to Get the Skills (Skills Dojo) 24:12 Where to Check Your Loop Outputs 25:10 What It Costs to Run Loops 29:38 Turning Your Company Into a Video Game How to Connect IG: / ericosiu X: / ericosiu 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Get the loops + skills marketplace: https://skillsdojo.com 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe 👉 Single Grain - Ad Agency focused on innovation https://www.singlegrain.com

👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe Agent-led growth is the next phase beyond product-led growth. Learn how AI agents are driving measurable customer acquisition results. 0:00 The New Era of Agent-Led Growth 0:41 Preparing Your Site for AI Agents 2:58 Standardizing Commerce with UCP and X42 5:23 Actionable Steps for AI Ranking 👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com 👉 Single Grain - AI marketing firm https://www.singlegrain.com 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe How to Connect IG: / ericosiu X: / ericosiu

👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com Stop using Grok bot for trivial tasks. I am showing you the 10 specific setups we use to generate revenue in our business. Chapters: 0:00 Grok Bot for Business & Marketing 0:31 Best Grok Bot Use Cases 2:14 How We Structure Grok Bot Like an Agency 3:29 Grok Bot Safety, Evals & Human Approval 4:32 How to Share Grok Bot Templates 5:14 Turn X Posts Into Grok Bot Skills 5:39 Grok Bot for Instagram Trial Reels 7:19 Autonomous SEO & AEO With Grok Bot 8:34 Grok Bot for LinkedIn Outreach 9:16 Scaling Short-Form Content With Grok Bot 10:53 Free AI Skills on Skills Dojo 11:34 Grok Bot for Recruiting & Hiring 13:23 FirstMate: Grok Bot for GitHub & Development 14:24 Revenue, Outreach & Pre-Call Intelligence 15:12 New Grok Bot Features Coming Soon 16:15 Grok Bot Pricing, Usage & Final Thoughts 👉 Single Grain - AI marketing firm https://www.singlegrain.com 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe

Most people use Hermes like a glorified ChatGPT, and that mistake is costing them 90% of the leverage available to them. In this video, I break down the exact framework for turning Hermes into a true business multiplier: ⬛ How context becomes artifacts, and how artifacts become reusable skills ⬛ Why prompts are disposable but skills compound ⬛ How to make Hermes multiplayer across your entire team, not just yourself ⬛ The 8 levels of Hermes, from asking simple questions to building a true company brain ⬛ Why governance and permissioning matter before you scale AI across your business If you're a founder or operator still treating your AI agent like a search box, this will change how you think about what's possible. Chapters 00:00 The #1 Mistake Killing Your Hermes Results 00:31 The Framework: Context → Artifacts → Skills 01:32 Building a Strategic Thought Partner 03:27 Scaling Your Thinking With Artifacts 07:19 Making Hermes Multiplayer (Company Brain) 08:52 Skills vs Prompts vs Loops 11:12 Single Brain & Skills Dojo 13:35 Connectors, Governance & The Desktop App 17:39 Cron Jobs & Memory Systems 19:53 The 8 Levels of Hermes How to Connect IG: /ericosiu X: /ericosiu 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe 👉 Single Grain - Ad Agency focused on innovation https://www.singlegrain.com

👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com Choosing the right automation platform is critical for business growth. I have used OpenClaw and Hermes since the early days, and while I still rely on Hermes for specific tasks, my testing shows that Grokbot might have changed the landscape. This comparison is for business owners and power users trying to optimize their current stack. 0:00 Is Grok Bot the New King of Autonomous Agents? 0:39 Building Your First Autonomous Agent 1:38 Overcoming the Cold Start Problem 3:17 Automating SEO and Content Strategy 7:54 Advanced Revenue Signals and Outreach Bots 👉 Single Grain - AI marketing firm https://www.singlegrain.com 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe

🚀 Fable 5 is back, and I'm breaking down exactly how I'm using it to build real revenue systems, not just chat about AI. 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe In this video, I walk through the AI loops and systems I'm actively running in my business right now, including: ⬛ The exact prompts I use to get Fable 5 to surface revenue opportunities and security issues in my repos ⬛ Why most people confuse "AI loops" with slash-goal commands, and the real architecture that separates them ⬛ A loop that automatically handles sponsorship negotiations for my podcast and YouTube channel ⬛ An AEO/SEO Content OS that turns my calls, transcripts, and Gong recordings into ready-to-publish content ⬛ A gamified business dashboard that turns your company's health data into a live strategy game This isn't theory. These loops are live, compounding, and already changing how my team operates. If you're a founder or operator who wants to move past one-off prompts and build systems that run themselves, this will change how you think about what's possible right now. Chapter 00:00 Fable 5 Is Back: New Revenue Use Cases 01:00 Security Sweeps and Tactical AI Audits 04:00 Agents vs. AI Loops Explained 09:00 Real Loop Architecture and Single Brain 12:00 Automating Sponsorship Deals with Loops 14:30 Building an AEO/SEO Content OS 17:00 Gamifying Your Business with AI 23:30 The Skills Dojo and Team Onboarding 28:00 Getting Started with AI Loops How to Connect IG: / ericosiu X: / ericosiu 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe 👉 Single Grain - Ad Agency focused on innovation https://www.singlegrain.com

How to Connect IG: / ericosiu X: / ericosiu 👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com 👉 Single Grain - AI marketing firm https://www.singlegrain.com 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe

👉 Single Grain - AI marketing firm https://www.singlegrain.com 👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com Learn how two free apps, Hermex and Hermes Desktop, stop you from managing your AI workforce through a single Slack or Telegram window. 0:00 Chat-Only Hermes Is Kneecapped 0:22 Install Hermex (iPhone + iPad) 1:04 Models, Sessions, and Profiles 2:33 Mobile vs Slack Multiplayer 3:06 Check Out Single Brain 3:50 Hermes Desktop App 5:56 Let Codex Drive Hermes Desktop 6:25 The Two Things You Need 👉 Single Grain - AI marketing firm https://www.singlegrain.com 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe

👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe I turned my entire company into a video game using Fable 5. No dashboards, no spreadsheets — just quests, empire briefings, and a living town that grows as your business grows. In this video, I break down how I built: ⬛ A Business Command Center that turns your company into a literal town (and eventually a city, a country, a whole world) ⬛ A Daily Empire Briefing that tells you exactly what's on fire and what needs attention ⬛ A Quest Board where your team can accept, complete, and even get rewarded for fixing real business problems ⬛ A Skills Dojo for onboarding new hires and leveling up your team's abilities Chapters 0:00 Fable 5 Turns Your Business Into a Video Game 0:40 Inside the Command Center: What's Burning, What's Thriving 1:42 The Daily Empire Briefing 2:41 The Quest Board and Reviving Stalled Deals 3:32 Business as Systems, Constraints, and Bottlenecks 4:32 Scaling From Town to World of Business 5:52 Leveling Up: Skills, Roles, and Rewards 7:26 The Skills Dojo and Onboarding 8:19 Single Brain Shoutout 8:44 Adding More Connectors and Context 9:44 The Future of Business How to Connect IG: / ericosiu X: / ericosiu 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe 👉 Single Grain - Ad Agency focused on innovation https://www.singlegrain.com 👉 Single Brain - Managed marketing agents for your Slack or Teams: https://singlebrain.com

👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com Learn exactly how high-earning operators use company brains and evals to scale. Get the implementation details usually kept behind closed doors. 👉 Single Grain - AI marketing firm https://www.singlegrain.com 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe

👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com 0:00 Boosting Hermes Productivity 0:39 Mastering Model Selection 2:26 Organizing with Profiles 3:54 Advanced Project Organization 👉 Single Grain - AI marketing firm https://www.singlegrain.com 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe

95% of the time, it's not a people problem. It's a process problem. So I set out to fix the process and in doing it, I found a way to clone my best employees. How skills took my X account from ~100K to 3M+ monthly impressions The finance skill that found $500K in hidden costs in 30 minutes Our internal "Skills Dojo" - think GitHub meets an app store for your team's best skills How evals and agentic loops turn one person into the work of 5-10 Chapters 00:00 Clone Your Best Employees With Skills 00:25 The Results: 3M+ Views on X 00:43 Building & Forking Skills 02:00 Fat Skills, Thin Harness 02:13 Skills That Drive Real Leads 02:48 The AI Marketing Skills Repo (2,600 Stars) 04:00 The Finance Skill That Saved $500K 04:53 X Long-Form Writer + Humanizer 05:39 Inside Our Skills Dojo 08:04 Publishing & Sanitizing Skills 09:00 Most Problems Are Process Problems 10:48 Speaking at MozCon NYC 11:26 Training The Team Like Jedi 12:03 The Person Of One 14:05 What Makes A Real Skill 14:18 What Is A Good Eval? 15:04 Agentic Loops Explained 16:45 Daisy-Chaining Skills Into Loops

👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe Everybody technical is talking about loops right now. But almost nobody is asking the real question: how do you apply loops to your business if you're a founder, operator, or marketing leader instead of an engineer? Chapters: 00:00 Why Everyone Is Talking About Loops 00:55 Applying Loops To Business 01:46 The Old Way: Prompting & Chatting 03:27 The Four Traps Of Demonstration Mode 05:20 Build, Measure, Escalate 07:53 The Pre-Meeting Context Filler 09:44 The Resolver Loop 11:26 Not Everything Should Be A Loop 12:46 The Build-Measure-Escalate Worksheet 14:05 The EO/SEO Content Operating System 15:28 Defining Your Definition Of Done 16:10 The Loop Is Only Real With Receipts

👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe Most companies try to hire their way to more A players. I built a system that mints them instead. In this video, I break down the three-part combo we use to reliably create A players inside our organization: skills, evals, and loops. This is the same framework we run in our six-week "pod of one" apprenticeship, where one person learns to do the work of four, five, or even ten roles by leveraging AI. Here's what I cover: ⬛ How services-as-software changes the math on labor hours and revenue per employee ⬛ What a skill actually is, and why it beats traditional processes nobody uses ⬛ How to build evals so you can prove a skill is good without trusting the vibes ⬛ How to chain skills into loops that kill your biggest weekly bottleneck ⬛ The exact run of show for our apprenticeship that you can steal and skillify yourself If you're a founder or operator, you have the invisible hammer to make this happen across your team. This is how you create predictability and reliability when it comes to minting A players. Chapters: 00:00 The Three-Part Combo 00:43 Services as Software Explained 01:44 The Skills Dojo 02:39 The Six-Week Apprenticeship 03:53 Defining Success and Done 04:38 What a Skill Actually Is 06:07 Why Single Brain Ties It Together 06:43 Skills as the Intention Behind Process 08:19 What an Eval Is and Why You Need One 09:07 What a Good Eval Looks Like 10:14 Chaining Skills Into Loops 11:54 Who Belongs in the Room 12:39 Skillify This Video Yourself 13:11 The Founder's Invisible Hammer 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe 👉 Single Grain - Ad Agency focused on innovation https://www.singlegrain.com

👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe Most people are buying AI backwards. They stack up copilots, agents, and a pile of tools that never talk to each other, then wonder why nothing actually compounds. The piece almost everyone is missing is a company brain: one unified intelligence that connects every tool, call, and document so your agents and your team can finally execute as one. In this video I show you exactly how we built ours at Single Grain, running on 500,000 tokens of persistent memory, 90+ daily crons, and 2,800 sales-call transcripts turned into operational playbooks. Then I break the whole thing down as a stack you can build yourself: capture, retrieval, source of truth, permissioning, feedback loops, and execution. Get these layers right and the system learns, protects, and compounds, which is how one person ends up doing the work of ten and the revenue follows. Chapters 00:00 Why Most People Buy AI Backwards 01:43 Inside Single Grain's Company Brain 02:47 The Execution Architecture in Layers 03:38 Layer 1: Capture Everything 04:10 Why Compounding Wins 04:30 Layer 2: Retrieval 05:13 Layer 3: Source of Truth 06:45 Layer 4: Permissioning 07:14 Layer 5: Feedback Loops 07:55 Broken vs Working, Layer by Layer 09:45 Layer 6: Execution How to Connect IG: / ericosiu X: / ericosiu 👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com 👉 Single Grain - AI marketing firm https://www.singlegrain.com 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe

👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe Everyone is obsessing over Opus 4.8 right now, but Codex is quietly making me serious money. In this video I walk through six ways I am actually using Codex inside my business today, from spinning up custom ad creative for every single prospect to a multi-threaded recruiting machine, an internal skills marketplace, and a Dream 100 revenue command center. None of this is theory. These agents are running live in my company while I record, some of them for days at a time. If you are a founder or operator, the takeaway is simple: the people who learn how to do this first are the ones who pull ahead. It all comes down to your relationship with learning and change. Chapters 00:00 Why Codex Is Printing Money Right Now 00:21 #1 Picasso: Ad Creative at Scale for Outbound 02:35 #2 Running Codex With Hermes (Autonomous Agents) 03:19 #3 A Multi-Threaded AI Recruiting Machine 05:59 #4 The Skills Dojo: A Skills Marketplace for Your Team 08:05 #5 TerraMind: An Agent That Watches and Skillifies Your Work 10:00 #6 The Dream 100 Revenue Command Center 11:27 Bonus: Build Your Own Lead-Gen Engine How to Connect IG: / ericosiu X: / ericosiu 👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com 👉 Single Grain - AI marketing firm https://www.singlegrain.com 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe

👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe Everyone's talking about loops as the next big thing in AI. The founder of Claude Code says he doesn't prompt anymore—he builds loops. The founder of OpenClaude agrees. But what does that actually mean, and more importantly, how does it make you more money? In this video, I break down what loops really are and how they apply to your business: ⬛ Why prompting coding agents is becoming the old way of working ⬛ The 5 parts of every business loop: trigger, signal, action, eval gate, stop condition ⬛ How to apply loops to sales, content, recruiting, and operations ⬛ Reviving stale and lost deals automatically ⬛ Why broken loops in Slack and Telegram are where work goes to die ⬛ How compounding loops put you ahead of 99% of businesses This isn't theory. If you build tighter loops around revenue, content, recruiting, and ops, you'll be ahead of nearly every business out there—because almost nobody is thinking about this yet. Chapter 00:00 Why Loops Are The Future 00:41 The Receipts: What The Founders Say 02:00 What A Loop Actually Is 04:00 Five Tips For Running Agents Autonomously 05:00 The Loop Is The Expensive Part 06:00 Business Examples: Stale Deals & Speed To Lead 07:30 The Five Parts Of Every Business Loop 09:00 Broken Loops In Slack & Telegram 10:30 Applying Loops To Recruiting & Ops 11:30 How To Run A Loop Audit 13:30 Why Loops Compound How to Connect IG: / ericosiu X: / ericosiu 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe 👉 Single Grain - Ad Agency focused on innovation https://www.singlegrain.com

👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe Fable 5 and Mythos 5 are here — and this is huge for revenue. In this video, I don't just break down the announcement. I show you exactly how to turn these new Claude models into money-making machines for your business. Whether you're a founder, operator, or running a services business, these use cases will put you ahead of the competition starting today. These aren't theories. CEOs and engineers are already using these models today to compress months of work into days and recover six figures on single deals. If you spend just one day exploring this, you could be miles ahead of everyone else. Chapter 00:00 Fable 5 & Mythos 5 Are Out 00:13 The Mythos Class Model Explained 00:57 Autonomous Revenue Ops Engine 02:30 Visual Intelligence Competitor Analysis 03:09 Enterprise Security As A New Revenue Vertical 04:17 Build A Unified Intelligence Bot 05:01 Autonomous Research To Strategy Pipeline 06:08 Automated Implementation Accelerator 07:08 Why You Should Explore This Now How to Connect IG: / ericosiu X: / ericosiu 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe 👉 Single Grain - Ad Agency focused on innovation https://www.singlegrain.com

Most companies are approaching AI the wrong way. They buy subscriptions, run a few experiments, and wonder why nothing changes. In this video, I break down the exact systems we're using to help teams become AI-native, from skill repositories and internal AI training programs to operational standards that increase speed, alignment, and execution. I also share why the future belongs to "pods of one" and how organizations can create a culture where employees continuously level up instead of waiting for permission or training. Chapters (00:00) Why Most Companies Still Suck at AI (00:13) Building an Internal Skills Repository (01:44) Using Leaderboards and AI Gamification (02:17) The Rise of the Pod of One (03:39) How AI Apprenticeships Create Leverage (04:43) Command by Negation Explained (05:44) Why High Agency Teams Win (06:25) Creating an AI-Native Culture (06:43) Final Thoughts

Most companies are using AI completely wrong. They use ChatGPT in isolation, run random prompts, and wonder why nothing compounds. In this video, I break down the exact Single Brain system we use to connect agents like OpenClaw, Hermes, and NemoClaw into one unified intelligence layer that helps teams move dramatically faster. We cover how these AI fleets plug into Slack, HubSpot, Salesforce, Google Search Console, analytics tools, ad accounts, and internal data systems to create a compounding workflow engine that actually generates revenue. I also walk through real examples including AI generated ad creatives, automated reporting, scaling top performing campaigns into hundreds of variants, reducing operational costs by $500,000, and how one person with agents can outperform entire traditional teams. If you want to understand where AI agents are actually heading and how businesses are using them to create leverage right now, this is the framework. Chapters: (00:00) Why most AI adoption fails (02:06) Connecting all your business tools into one brain (03:22) The AI org chart of the future (05:20) Why most teams are still using AI wrong (06:31) Human timelines no longer work (07:10) Building ad creatives with AI agents (08:06) Scaling campaigns into 200 variants automatically (08:47) How $7,500 in tokens saved $500,000 (10:02) Why AI agents will replace traditional workflows

Here’s why most AI agent systems break once they touch real business operations. The issue is not intelligence. The issue is control. Most companies are building disconnected prompts with no evaluation systems, no approval layers, and no recursive learning loops. That works for demos, but it falls apart when agents start touching production systems, ad spend, customer data, or outbound communication. The better approach is treating agents like an operational command system. Hermes becomes the control tower that launches goals, evaluates outputs, routes approvals, stores learnings, and continuously improves future execution while humans stay in the loop for anything high risk. In this video I break down how the AI optimization lab works, why recursive self improvement matters, how approval gates protect revenue and reputation, the difference between safe autonomy and dangerous autonomy, and how to structure agents that continuously move the business forward without creating operational risk. Chapters: (00:00) The real problem with AI agents (00:54) AI optimization lab explained (02:00) Hermes as the control tower (03:26) Safe autonomy for businesses (04:56) Why approval gates matter (06:01) Human approval for risky actions (07:42) Recursive self improvement loops (09:20) Scaling autonomous systems (10:31) Using Hermes to grow revenue faster

Here’s why Google’s new design.md standard could completely change how brands create content with AI agents. Right now most brands exist in formats AI can’t consistently understand. Your landing pages, ads, decks, and creative assets are scattered everywhere with no persistent design memory. Google’s new design.md format changes that by giving agents a structured way to understand your visual identity and generate assets that actually stay on-brand. In this video I break down how design.md works, why Google is trying to make it the default standard for AI-generated design, how we’re using it internally with agents, and why this becomes massively important for marketing teams trying to scale creative output without losing consistency. Chapters: (00:00) Why AI currently cannot “see” your brand (00:22) Google’s new design.md standard explained (01:06) Why Google wants to own the format (01:37) Real examples using ClickFlow and Single Grain (02:21) How agents generate branded assets automatically (02:43) Why open standards matter more than lock-in (03:23) The massive impact on marketing teams (04:04) Sales decks and personalized design workflows (05:01) The GitHub repo with reusable design systems (05:24) Using inspiration from top-performing websites (06:13) Why design.md could become the industry standard (06:29) How revenue agents change creative production

Here’s how one person can now run cold email infrastructure that used to require an entire team. Most outbound systems break because there are too many moving parts. You need lead sourcing, email verification, inbox warmup, campaign management, copywriting, optimization, and reporting all happening at once. In this video I show how agents inside a “single brain” system handle most of that work end-to-end while a human stays focused on judgment, strategy, and approvals. I also walk through how we’re using OpenClaw, Instantly, Whisper Flow, and recursive scoring systems to rewrite campaigns, manage infrastructure, QA sequences, and launch campaigns in parallel without needing multiple operators. Chapters (00:00) Why cold email used to require a full team (00:32) How the “single brain” system works (01:18) Reviewing Instantly campaign performance (02:09) AI rewriting and scoring email sequences (03:06) Why humans still need to stay in the loop (04:21) Incentives, personalization, and reply rates (05:41) Running multiple campaign workflows in parallel (06:28) Managing lead distribution and infrastructure (07:07) Reviewing campaigns inside Instantly (08:05) Fixing ICP targeting and send settings (09:01) Live feedback and campaign optimization (10:07) Why one person can now operate like a full outbound team (10:49) How companies are building “world brains”

Here’s the real state of OpenClaw right now. OpenClaw became a critical part of how our team operates, but over the last couple months the reliability has noticeably dropped. Messages fail, automations break, gateways hang, and teams start losing trust in the system when it stops responding consistently. In this video I walk through Peter Steinberger’s public apology, the exact issues we’re seeing inside Slack and Telegram, why reliability matters more than features, and how we’re thinking about Hermes vs OpenClaw moving forward. I also break down the “brain vs execution” model, why competition between the two is actually healthy, and why I still believe autonomous agents are the future despite the current issues. Chapters (00:00) Is it over for OpenClaw? (00:46) The reliability problems we’re seeing (02:08) Peter Steinberger’s apology (04:20) Why SSR matters (secure, stable, reliable) (05:05) The single brain + agent fleet setup (06:34) Real Slack failures inside our team (08:05) Telegram failures and broken responses (09:09) Hermes as the alternative (10:41) Brain vs execution model (12:03) Why OpenClaw still matters (13:34) Website deployed using OpenClaw (14:52) Final thoughts on the future of agents

Here’s why the “AI will cause mass unemployment” narrative is probably wrong. Every major wave of technology has triggered the same fear, and every time it’s played out differently. AI doesn’t just replace jobs, it shifts them. It removes repetitive work, increases productivity, and creates entirely new roles that didn’t exist before. In this video I walk through real historical data from radiology, agriculture, spreadsheets, and ATMs to show how job displacement actually works, why demand often increases, and how AI acts as a multiplier rather than a replacement. Chapters (00:00) The mass unemployment narrative(00:22) Radiology example (AI vs jobs)(01:08) AI as a demand multiplier(02:06) Drivers and task vs job thinking(02:28) Agriculture automation (tractor era)(03:46) Spreadsheets and job evolution(05:25) ATM prediction vs reality(05:42) Creative destruction explained(06:36) Why AI likely creates more opportunity

Here’s why I spent $7,500 on AI tokens in a single month and why it was worth it. Most people hear that number and think it’s insane. But that spend replaced work that would’ve cost way more in headcount, made our team significantly more effective, and even uncovered $500K in savings that I acted on within days. This isn’t just “AI cost” it’s leverage across sales, coaching, product, and operations. In this video I break down what that spend actually gets you, real examples of how it’s used inside the company, the ROI behind it, and how to think about cost vs speed when choosing models. Chapters (00:00) Why I spent $7,500 on tokens(00:38) What that spend actually buys(01:41) Using AI to coach your team(03:23) ROI breakdown and savings(04:19) Product and dev leverage(05:07) What the first 3 months look like(05:41) The “single brain” effect(06:07) Frontier vs cheaper models(07:53) Why you need to start now