It's Not the End of the World: Everyday Use Cases for AI

Emma Mondalino has spent her career translating between marketing, creative, and revenue teams at some of the biggest platforms in tech — Twitter, Pinterest, Nextdoor, Media Link, and UTA. But this conversation goes beyond the boardroom. At 38 weeks pregnant and navigating guardianship for her father with dementia, Emma is using AI to bridge her professional and personal worlds in ways most people haven't thought of yet. From conditioning Gemini to nag her about a dream project, to building her first app on Replit.Referenced in this episode:Claude — https://claude.ai Claude Code — https://docs.anthropic.com/en/docs/claude-code Gemini — https://gemini.google.com NotebookLM — https://notebooklm.google.com Replit — https://replit.com OpenClaw — https://github.com/openclaw ChatGPT — https://chat.openai.comSponsored by Quite Frankly Productions https://www.quitefranklyproductions.comShow notes assisted by Claude.Timestamps:0:00 — Cold Open: Emma's contextual reminder hack 0:26 — Intro 1:46 — Emma's background: Twitter, Pinterest, Nextdoor, consultancy 2:26 — Work-life integration over work-life balance 3:28 — The "mis-fear": why AI didn't replace marketing storytelling 4:49 — Where AI actually shines: scaling the baseline narrative 6:40 — Aha moments in marketing and grounding an audience fast 8:34 — Modular narratives: feeding AI what's worked before 9:30 — Project management as a killer use case for creative brains 11:26 — Why Emma switched to Claude 12:34 — Anthropic's brand and the "cool kid factor" 13:14 — The reality: Gemini gets most of Emma's time 13:44 — Practical project management workflow: dump, summarize, reformat 15:34 — Being polite to AI (and whether silence hurts) 16:46 — 38 weeks pregnant: translating work templates to nursery timelines 17:43 — Spreadsheets for people who hate spreadsheets 18:59 — Claude vs ChatGPT 5.4: speed vs polish 21:13 — Thinking mode: when overthinking makes it worse 22:16 — NotebookLM's Audio Overview and why Emma loves it 24:18 — The Starbucks example: personalized podcasts on demand 25:35 — Bobby's brief workflow: skim, listen, re-read 27:01 — Deep researching your coffee date (and why this should be a dating feature) 27:31 — Spotify's new rule: nothing longer than a page 30:19 — Pitch decks are dead — interactive websites are the new pitch 33:03 — Vibe coding a game for a ski chalet business 34:52 — Will AI replace jobs? The philosophical dip 38:44 — OpenClaw: autonomous agents with a soul file and a heartbeat 42:37 — The monkey with a machine gun meme (non-technical founders × Claude Code) 43:30 — Building a guardianship app: dementia, banks, legal jargon, and the IRS 48:51 — Bobby's advice: always have a Claude chat on the side 50:48 — Claude Code for non-coders: "treat me like a complete idiot" 54:12 — Dangerously skip permissions (it sounds worse than it is… probably) 55:37 — Quick Tips 55:53 — Tip 1: Take what works at work, use it at home 56:23 — Tip 2: Condition your AI to remind you about your ideas 58:54 — Tip 3: The baby shower inscription sticker hack 1:00:51 — Outro

This week we kick off with a look at ChatGPT 5.4 — is it any good? I put it head to head with Claude on a basic intelligence test and a spreadsheet task. Plus, the OpenAI/Anthropic controversy over Pentagon contracts, autonomous weapons, and what it means for which AI you choose to use.Then we sit down with Mike Molinet — Stanford MBA, mechanical engineer, and co-founder of Branch, a company he built the old-fashioned way in 2014 with a team of developers, venture funding, and 18 months of grind. Today, he and his non-technical co-founder are building their next company entirely with AI coding tools. No engineers. No VC money. Just vibe coding.Mike breaks down the real difference between tools like Replit and Bolt vs. Claude Code and Codex, the economics of software pricing when anyone can build a competitor in three months, and why the Silicon Valley startup model may never look the same again.Sponsored by Quite Frankly Productionshttps://www.quitefranklyproductions.comShow note support: ClaudeTIMESTAMPS0:00 – Hook: The old feedback loop vs. the new one0:27 – Welcome to It's Not the End of the World1:53 – ChatGPT 5.4 drops: first impressions5:28 – Head to head: ChatGPT 5.4 vs Claude on spreadsheets and the teal test10:00 – The OpenAI controversy: Pentagon contracts, autonomous weapons & surveillance13:30 – Market forces, boycotts, and choosing your AI15:00 – Tip of the week: learn how to screenshot15:32 – Interview begins: Mike's background — Stanford MBA, mechanical engineer, non-developer18:03 – The vibe coding journey: prototypes, pitfalls, and learning by doing20:48 – Mike's top tools for beginners: Replit & Bolt22:40 – Why Replit over Claude Code or Codex (with a real-world example)26:50 – The "Sandra Bullock blindfolded on a motorboat" metaphor for vibe coding29:38 – Google AI Studio as a beginner entry point33:48 – Vibe coding from your phone34:47 – The dopamine rush of the new feedback loop35:53 – 2014 vs. 2026: How startups have completely changed43:12 – Building a profitable business solo in 3–6 months45:47 – The economics of software pricing when everyone can build50:03 – How VC-backed companies undercut everyone (the Uber playbook)53:28 – Are AI companies subsidizing us to jack prices later?55:59 – The slow creep toward replacing employees59:02 – Build vs. buy: the pendulum that's about to swing back1:02:27 – How to choose what to build as an entrepreneur1:05:43 – The maintenance trap: why your vibe coded tools might haunt you1:10:42 – What is OpenClaw and who is it for?1:11:50 – Giving the AI brain "hands" — skills, scheduling, and autonomy1:20:55 – Mike's free AI email course: AI Drop DailyLINKS & REFERENCESReplit — https://replit.comBolt — https://bolt.newAI Drop Daily — https://aidropdaily.comOpenClaw — https://openclaw.aiHard Fork (NYT podcast) — https://www.nytimes.com/column/hard-forkNOTESince recording, OpenClaw creator Peter Steinberger announced he is joining OpenAI.

Guest: Abhijith Ravinutala — Writer, ex-futurist at Deloitte, Harvard Divinity School graduate, author of the Substack "Abhijit Smokestack"Guest Bio: Abhijith Ravinutala is a writer based in Austin, Texas. After a career winding through strategy consulting, Divinity School, and tech futurism, he's finally dedicated himself to doing what he does best: telling stories. His published short stories and novels-in-progress explore the intersections of culture, faith, technology, and loss, especially within immigrant identity. As a recovering futurist, he has a great deal to say about the excesses of the Tech Age we're living through.Guest Links:Substack: tubbyabhi.substack.com"AI;dr: Telltale Signs of AI Writing": https://tubbyabhi.substack.com/p/aidr"AI Misconceptions and the Great Flattening": https://tubbyabhi.substack.com/p/ai-misconceptions-and-the-great-flatteningReferences Mentioned:Derek Thompson, "The Antisocial Century" (The Atlantic)Apple TV's PluribusBuddhist concept of dependent originationHindu concept of BrahmanSponsor: Quite Frankly Productions — quote "podcasts" when reaching outShow Notes Assist: Claude and Gemini00:00 — The Machine Average00:23 — Introduction & Sponsor01:10 — A Modern Great Gatsby Set in Austin02:00 — From Accounting to Theology to Futurism04:14 — Culture, Faith & Tech05:25 — Is AI a Faith-Based Technology?08:37 — Pastors as Prompt Engineers09:39 — The Man Who Started an AI Religion11:33 — Bilbo Asks ChatGPT About the Ring12:18 — The Great Flattening vs. AI;DR14:07 — When Shiny Tech Becomes "Merely Very Useful"16:52 — Reality vs. the AI Promise20:06 — The Spreadsheet That Changed Everything22:43 — Broken Links and Corporate AI Trauma26:23 — The Honeymoon Is Over28:20 — Vibe Coding and Functional AI Slop31:01 — Where Do You End and the Machine Begins?32:39 — AI;DR: I Know This Is AI, I'm Not Reading It34:00 — Typos as Proof of Humanity35:54 — When You Want AI to NOT Sound Like You37:48 — Pluribus and the Loss of Individuality40:25 — We Won't Become the Machine41:30 — My Doctor vs. ChatGPT44:08 — The Erosion of Trust48:31 — India, Tech Identity & the Uncle in the Next Room52:30 — Forsaking Cultural Knowledge for Convenience55:36 — Spirituality Requires Getting Away from Screens57:08 — A Late-Night Conversation with DeepSeek About Consciousness1:03:12 — AI as Erasure of Wisdom1:04:08 — The Building's Not Over Yet1:05:37 — Practical Use Cases: Art, Legal Letters & Gaming the Job Market1:08:48 — The Fully AI-Mediated Job Search1:11:28 — Using AI with Integrity1:12:37 — Tools Don't Tell Us What to Think1:12:53 — Where to Find Abhi

Chad and Bobby dive into the viral developer article "Something Big Is Happening," the impending shift towards a zero-click search ecosystem, and the ethical dilemmas of treating AI like a therapist when it's funded by ad dollars. Plus, Bobby shares how Claude completely automated complex logistics for an 11-location international shoot, and Chad reveals his top tips for persona prompting—and how he used ChatGPT to hack his way to American Airlines Executive Platinum status.Article: ⁠Something Big Is Happening by Alex Shumer⁠Guest: Chad Stoller, Global Head of Media at ⁠PMG⁠Tools Discussed:Anthropic ClaudeOpenAI ChatGPTGoogle GeminiLovable (Vibe coding platform)Seedance 2.0 (Video generation)Games Discussed:BalatroHadesDead CellsSektoriSponsor: ⁠Quite Frankly Productions⁠ (Quote "podcasts" when you reach out!)0:00 – Cold Open0:29 – Welcome & Introduction1:05 – Sponsor: Quite Frankly Productions1:38 – Guest Introduction & Top Tip: Screenshot Superpower3:27 – News of the Week: Cdance 2.0 & "Something Big Is Happening"8:05 – Discussion: The Viral Article & AI Stigma11:02 – "Did You Use AI? Why Didn't You?"12:49 – AI as Kryptonite for Procrastination15:33 – It's Not a Replacement, It's an Enabler16:35 – The Claude Opus 4.6 Moment18:07 – Bobby's Spreadsheet Epiphany22:24 – The iPhone Moment for AI28:21 – Vibe Coding at Wrigley Field30:03 – Can You Sell What's Easy to Build?32:24 – Democratization & the Future of Problem-Solving34:39 – Chad's Background: 30 Years in Advertising & Media38:02 – Following the Eyeballs: Publishers, Brands & AI Search44:44 – Myth Busted: Is Your Phone Listening to You?46:40 – The Privacy Danger of AI as Therapist50:35 – Trust, Data & the Advertising Trap54:33 – Can Ethics Win in the Market?1:00:18 – What Can Consumers Do to Protect Themselves?1:04:33 – Quick Tips: Break Your Muscle Memory1:08:29 – Superpower: Personas & Intent in Prompting1:15:02 – Fun Use Case: Hacking Airline Loyalty Points with AI1:17:23 – Bonus: Gaming Recommendations & Balatro Therapy1:22:33 – Closing Thoughts & Farewell

Can AI actually make us more human? In this episode, Bobby sits down with Luyen Chou, CEO of Dewey Learn, to discuss how multimodal AI is revolutionizing the classroom.Dewey Learn utilizes advanced multimodal AI to observe teaching practices and improve student outcomes. Luyen shares high-level insights on how startups can leverage "Agentic AI" to supercharge development, and why paying for your LLM subscription is the best investment you can make this year.Timestamps00:00 – Intro: Why cameras in classrooms used to be taboo.01:19 – Luyen’s background: From 1989 teacher to AI pioneer.03:25 – The "Dewey" Story: A personal connection to John Dewey.06:46 – The AI Tsunami: Recognizing the power of Transformers.10:00 – Multimodal AI: Why text isn't enough for human interaction.14:26 – How it works: Training AI to "see" like a master teacher.24:50 – Privacy & Compliance: Navigating the "Eye in the Sky."29:37 – Agentic Coding: How a team of 8 humans manages 12 "AI employees."32:00 – Claude Code vs. OpenAI Codex: Managing the AI stack.46:00 – The Future of Education: Battling "Truth Decay."59:28 – Quick Tip #1: Why you must PAY for your AI (You are the client, not the product).1:04:22 – Quick Tip #2: System Prompts & Memory settings.1:06:48 – The "Change Log" Hack: How to manage Context Windows when coding.1:11:29 – Fun Use Case: NotebookLM for Infographics & analyzing home videos.Links & Resources MentionedDewey Learn: https://deweylearn.com/Guest: Luyen ChouTools Discussed:Anthropic Claude (and Claude Code)OpenAI ChatGPT & CodexGoogle NotebookLMCursor

Peter Williams is a UK-qualified architect working in Vancouver, Canada for the past 7 years. Peter is a Project Architect for a large North American practice and also completes projects and competitions under his own studio, K1 Architecture. He has been exploring AI use in architecture for the past couple of years and found success with tools at masterplanning stages, visualization tools in concept design, and regulatory checking. If anyone would like to know more about his AI successes and failures, or the process of relocating abroad as an architect, feel free to reach out via his website or LinkedIn.Tools & Resources MentionedLookX.ai — AI-powered architectural rendering from sketchesMidjourney — Image generation for design inspiration and rendersChatGPT — Regulatory research, investment analysisGoogle Gemini — Image generation (demoed live)Notebook LM (Google) — Document-focused AI analysis, recommended for multi-document researchDeepSeek — Open source LLM that can be hosted locally for data privacyMicrosoft Copilot — Used by larger firms in closed-loop systemsFind PeterWebsite: K1-Architecture.comLinkedIn: @peterzwilliams00:00 — Cold Open 00:27 — Introduction 00:59 — Meet Peter Williams 01:37 — What Does an Architect Actually Do? 04:11 — Team Structure & Collaboration 05:22 — 3D Models, Digital Twins & BIM 06:05 — The Breadth of an Architect's Skillset 09:21 — How AI is Showing Up in Architecture 10:49 — AI Empowering Smaller Firms & Solo Practitioners 12:17 — Using AI for Regulatory Research on a Project in Ireland 13:27 — Dealing with Hallucinations in High-Stakes Professions 15:32 — The Importance of Professional Judgment 16:30 — Transparency with Clients About AI Use 18:34 — Clients Using Midjourney to Communicate Design Ideas 20:09 — Peter's Experience with AI Rendering Tools (LookX.ai) 22:15 — Winning a Design Competition Using AI 25:42 — Live Screen Share: Peter's Competition Submission 28:58 — Live Demo: Bobby Tests Google Gemini on Peter's Sketches 32:10 — AI as Proof of Concept & Vibe Coding Parallels 34:32 — AI as an Equalizer Across Industries 35:56 — Will AI Reduce Entry-Level Roles? 37:37 — Quick Tips: General Advice 39:03 — Quick Tips: Personal Superpower / Hack 41:22 — Quick Tips: Fun or Unexpected Use Case (Investing) 46:23 — AI for Property Analysis 47:43 — Notebook LM & Document Analysis Best Practices 49:27 — Data Privacy, Closed-Loop Systems & Open Source Models 53:09 — AGI, ASI & the Future of Intelligence 1:00:18 — Where to Find Peter 1:01:05 — Outro

Is SEO dead? In this episode, Bobby sits down with tech veteran Andrew Bloom (Getty Images, SpotRunner, BrandLight) to discuss the massive shift from Search Engine Optimization (SEO) to AI Engine Optimization (AEO).As consumers swap Google for ChatGPT and Claude, the "blue link" is disappearing—and with it, the traditional ways businesses track success. Andrew explains the concept of "AI Visibility," why the "death of the click" is terrifying advertisers, and what the inevitable future of ads inside your favorite chatbots will look like.Plus, we get practical: Andrew shares his personal "superpower" workflows, including using AI as a ruthless interview coach and how to use Claude Code to run personal financial audits on your bank statements.Topics Discussed:The Dot-Com Lessons: What the rise of digital stock photography at Getty Images teaches us about the current AI wave.The "Dirty Secret" of Early Tech: How early algorithmic advertising paved the way for today's generative tools.AEO vs. SEO: Why businesses need to optimize for "AI Visibility" and how to show up when there are no links to click.The Future of Ads: Why AI ads might actually be helpful rather than annoying (context-aware vs. pop-ups).Content Strategy: How to "fan out" content to answer the 50-word prompts users are actually typing.Practical Workflows: Using AI for interview prep, acting as a "difficult client," and deep-dive financial planning.Timestamps: (00:00) - Intro (01:29) - From Law to the Dot-Com Boom: Lessons from Getty Images (05:14) - SpotRunner and the history of "algorithmic" advertising (09:30) - The IP War: Getty Images vs. Generative AI (19:12) - What is AI Visibility (AEO)? (23:30) - The "Death of Attribution": When the data trail disappears (26:45) - The "Surface Area" of Attention: Why ads are coming to Chatbots (36:15) - Practical Tips: How to optimize your content for LLMs (40:42) - Personal Use Cases: The "CRO Coach" and "Difficult Client" Simulator (47:00) - Bobby’s Workflow: Audio Overviews with NotebookLM (52:11) - Superpower: Using AI for personal financial auditsResources Mentioned:BrandLight: Tools for tracking AI Visibility.NotebookLM: Google’s AI research tool (great for Audio Overviews).Claude Code: For advanced data analysis and coding tasks.Section / Coursera: Recommended platforms for AI learning.About the Guest: Andrew Bloom is a strategy and business development expert with a history of helping companies navigate massive technological shifts. A former lawyer trained at Cambridge, he transitioned into the business side of tech during the dot-com boom, holding key roles at Getty Images and SpotRunner. He currently consults for companies like BrandLight, helping brands understand their visibility in the age of Large Language Models.Connect with Us:Hosted by: Bobby Miklausic, Head of AI Integration at Quite Frankly Productions

NOTE: Use-case 2 and use-case 13 feature visual elements. The rest of the show is completely audio friendly.This episode is all about real-world applications for AI.In Part 2 of our 2025 Recap, host Bobby Miklausic has curated the most practical, "everyday" stories from the last 13 episodes. We are moving beyond the hype to see exactly how doctors, lawyers, business owners, and parents are using AI to solve actual problems.From fighting negligence claims with a "ChatGPT Attorney" to reverse-engineering family recipes and planning group trips for 12 people, these are the use cases you can steal for your own life.In this episode, we cover:The "AI Attorney": How non-lawyers are using AI to draft demand letters and fight negligence claims.Personalized Health: Using AI to audit your bio-data and reverse-engineer recipes for specific diets.Visualizing the Future: Using AI to preview interior design renovations and create infographics.The "Vibe Coding" Revolution: Building functional apps for your business in a single afternoon without writing code.Travel & Language: Planning complex group itineraries and using live translation to navigate foreign countries.Timecoded Chapters:00:00 - Introduction00:38 - Use Case 1: Reverse-Engineering Recipes (Catherine Crowe)01:05 - Use Case 2: Creating Infographics (Luke Alexander)04:19 - Use Case 3: Personalized Health Audits (Dr. Jeff Holzberg)10:53 - Use Case 4: Cooking & Meal Prep (Jez Frankel)12:29 - Use Case 5: Interior Design Visualization (Andrew Turner)14:35 - Use Case 6: Live Translation (Luna Kaltenborne)16:37 - Use Case 7: Complex Travel Planning (Katie Hansen, Jerome Ranawake, Andrew Turner)21:43 - Use Case 8: Language Learning (Luna Kaltenborne)23:25 - Use Case 9: DIY & Home Repair (Andrew Turner)24:06 - Use Case 10: Legal Disputes & The "AI Attorney" (Catherine Crowe, Jez Frankel)28:13 - Use Case 11: Helping with Homework (Catherine Crowe)29:00 - Use Case 12: Introspection & Self-Improvement (Dr. Jeff Holzberg)31:03 - Use Case 13: Vibe Coding Apps for Work (Catherine Crowe)Disclaimer: This episode discusses medical and legal topics. The content is for informational and entertainment purposes only and does not constitute professional advice. Never disregard professional medical or legal advice because of something you have heard on this podcast. AI tools can hallucinate and make errors.Don't forget to like and subscribe.Production Credits: Host: Bobby | Copy & Show Notes: Gemini

We covered a lot of ground in 2025. From "Vibe Coding" to "AI Attorneys," we have spoken to guests across 13 episodes about how they are using artificial intelligence.In this special recap episode, host Bobby Miklausic breaks down the very best functions and prompting advice gleaned from that roster of guests. Whether you are a total beginner or looking to refine your workflow, this will help you get the most out of your tools.This is Part 1 of our 2025 review. Next, we will be looking at the top practical use cases, followed by an episode on "Impact," before continuing with our new roster of guests for 2026.In this episode, we cover:The “GCSE” Framework: How "Goal, Context, Source, Expectation" fleshes out flimsy prompts.The "Screenshot Shortcut": The most important tip in prompting.Voice Mode: Using real-time conversation for troubleshooting and translation.Handling "Big Data": Using NotebookLM to summarize thousands of pages and find "red flags" in minutes.Daisy Chaining: The ultimate creative workflow connecting ChatGPT, Image Generators, and Photoshop.Tools mentioned: ChatGPT (Voice & Deep Research), Google NotebookLM, Midjourney, Photoshop.Timecoded Chapters: 00:00 - Introduction 00:48 - The Framework: Goal, Context, Source, Expectation 02:45 - Iteration 03:11 - Recap my convo: Making the Result the Prompt 05:45 Give me multiples 08:20 - The Screenshot Shortcut 10:51 - Voice Mode 13:20 - Handling "Big Data" with NotebookLM 14:38 Audio Overviews 16:42 - Fact Checking: Playing AIs Against Each Other 18:10 - Deep Research 21:19 - Image Gen and Daisy ChainingDon't forget to like and subscribe.Production Credits: Host: Bobby Miklausic | Copy & Show Notes Assistant: Gemini

⚠️ AUDIO LISTENER WARNING: This episode involves extensive screen sharing, live coding demos, and UI breakdowns. While you can listen along, this episode is best experienced as a video on Spotify or YouTube.Is "Vibe Coding" the literacy of the 21st century?In Part 2 of this Tech Deep Dive, Bobby (Creative Director) and Luke (Senior Motion Graphics Artist) discuss how natural language and LLMs can bridge the gap between having a problem to solve and using software to solve it. We explore how to go from zero coding knowledge to deploying three functional production tools in under two weeks.A Note on the Format: This is the second half of our deep dive into recent advances in creative AI tools.In this episode, we breakdown the "Vibe Coding" methodology—using Google AI Studio to architect complex software simply by describing the desired outcome. We demo our own "Budget Factory" and "Call Sheet Pro" apps, and show how to use Gemini’s "Deep Think" model to critique and refine UI design.In this episode, we cover:The Concept: Why Vibe Coding is like "driving a motorboat" when you don't know how to swim.The Demo: Building a shoot logistics dashboard in 60 seconds.The Workflow: Using Gemini 3.0 (Deep Think) to act as a Senior Developer and critique your code.The Visuals: Using Nano Banana Pro to turn messy handwritten notes into beautiful infographics.The Thumbnails: A breakdown of using Adobe Firefly Boards for YouTube A/B testing.Featured Tools:Google AI StudioGoogle Gemini (Deep Think)Nano Banana ProAdobe Firefly BoardsTimestamps (Chapters)00:00 - The "60 Seconds" Hook & Intro00:37 - Recap: Why We Split the Episode01:13 - What is "Vibe Coding"? (Gemini + AI Studio)02:38 - Live Demo: Building a Logistics App in Real-Time05:12 - The "Motorboat" Analogy (How Non-Coders Survive)10:57 - App Showcase: "Budget Factory" & "Call Sheet Pro"16:30 - How "Vibe Coding" Changes the Creative Process17:50 - Pro Tip: Using "Deep Think" to Critique UI Design20:53 - Nano Banana Pro: Turning Messy Notes into Infographics24:16 - Using AI for Recipes & Baby Checklists26:06 - Workflow: Creating Viral Thumbnails with Firefly Boards31:54 - A/B Testing Thumbnails on YouTube33:26 - Conclusion: The 2-Week AI Sprint (3 Apps + 1 Film)Transparency NoteAI Disclosure: This episode description and the episode title were written with the assistance of Google Gemini.Tags#VibeCoding #GoogleGemini #NoCode #AIStudio #AppDevelopment #NanoBananaPro #Productivity #TechDeepDive #CreativeDirector #GoogleDeepThink

⚠️ AUDIO LISTENER WARNING: This episode involves extensive screen sharing, video breakdowns, and visual comparisons. While you can listen along, this episode is best experienced as a video on Spotify or YouTube.In this episode of It's Not the End of the World: Everyday Usecases for AI, Bobby (Creative Director) and Luke (Senior Motion Graphics Artist) look at the rapid advancements in AI filmmaking over the past year. They also explore vibe-coding and the various apps Bobby has built with limited coding experience.A Note on the Format: This was originally intended to be one episode but Bobby and Luke really got granular, so we decided to split it into two parts to give each topic (AI video and vibe-coding) the time it deserves.In this part 1 they break down the exact workflow used to create a Pixar-style short film using the latest generative tools. We move beyond simple prompting and get into the nitty-gritty of "Acting" for AI, using Adobe Firefly for sound design, and the editing hacks in Premiere Pro that make AI video look seamless.They cover:The Workflow: How to use Nano Banana Pro and Adobe Firefly Boards to keep characters consistent.The Animation: Using Kling AI and Google Veo for complex camera moves.The Audio: Creating custom sound FX with your voice and Adobe Firefly.The Hacks: How to use the "Morph Cut" tool in Premiere to hide AI glitches.The Assist: Using Gemini and ChatGPT to write After Effects expressions and guide you through complex tools.Featured Tools:Nano Banana ProGoogle VeoKling AIAdobe Firefly (Image & Sound)RunwayElevenLabs (Voice Synthesis)In Part 2 Bobby discussed building 3 apps in 2 weeks using Gemini.Timestamps (Chapters)00:00 - Coming Up: The AI Film Revolution00:36 - Intro: Bobby & Luke on the State of AI01:55 - The "Year 1" Test: Watching the 2024 Film (Runway Gen-1)03:23 - The Struggle: Why Early AI Video Was So Hard05:40 - The "Year 2" Reveal: Watching the New AI Film07:07 - AI Acting: How to Direct Performance (Veo + 11Labs)10:50 - The "Matt Berry" Santa Voice Workflow12:39 - Sound Design: Using Adobe Firefly to Generate FX17:44 - Image Gen: Nano Banana Pro & Adobe Firefly Boards21:54 - Traditional Storyboarding vs. AI Generation25:13 - Animation: Mastering Camera Moves with Kling AI27:51 - Pro Tip: The "Morph Cut" Hack in Premiere Pro30:16 - Physics in AI: The "Hammer" Scene35:32 - Prompting for Emotion (The "Santa Grimace")37:58 - Using Gemini to Write After Effects Code48:10 - Outro: Why We Split the Episode (Tease for Part 2)Transparency NoteAI Disclosure: This episode description and the episode title were written with the assistance of Google Gemini.Tags#AIFilmmaking #NanoBananaPro #KlingAI #AdobeFirefly #GenerativeVideo #RunwayML #VideoProduction #AIWorkflow #PremierePro #AfterEffects

Is being "too perfect" actually a disadvantage in the age of AI?In this episode, Bobby sits down with Luke Crowe, the Vice President of Backstage.com. Backstage is a legendary institution in the entertainment world—formerly a print magazine found on every NYC newsstand, now a global SaaS platform facilitating thousands of casting calls.We discuss how AI is quietly reshaping the economics of the film industry, not by creating robot movie stars, but by changing who gets cast in commercials and background roles. Luke shares a fascinating insight into the "Authenticity Backlash"—why advertisers are suddenly looking for actors with unique, quirky features to prove they aren't AI-generated. We also dig into the "DSLR moment" for indie filmmakers and how to use different LLMs to fact-check each other.In this episode, we cover:The "Authenticity" Shift: Why looking "too good" might cost you the job.The "DSLR Moment": How AI is lowering the barrier to entry for indie sci-fi and special effects.Content Saturation: The downside of democratization and the difficulty of breaking through the "slop."Practical Use Case: Luke's method for "AI Arbitration"—playing ChatGPT, Gemini, and Grok against one another to catch hallucinations.Tools Mentioned:Backstage.comChatGPTGeminiPerplexityGrokNano Banana (for graphics)Runway (mentioned in context)Chapters: (00:00) Intro (00:34) From Magazine to SaaS: The History of Backstage (05:39) Is AI Taking Actors' Jobs? (The Tilly Norwood Myth) (09:16) The "Too Perfect" Problem: The Pivot to Authenticity (14:44) Small Business Hacks vs. Taking Jobs (16:50) The "DSLR Moment" for Indie Filmmakers (24:33) The Downside: Navigating a Sea of Content (29:57) Practical Tip: Playing Models Against Each Other (32:18) Kids vs. AIProduction Credits: Host: Bobby | Guest: Luke Crowe | Copy & Show Notes: Gemini

Is ChatGPT a better doctor than your doctor? Or is it the only thing that can save the human connection in healthcare?In this episode, Bobby sits down with Dr. Jeffrey Holzberg, a community pediatrician working on the US/Mexico border. Jeffrey shares his perspective on why the current healthcare system—with its 15-minute slots and endless paperwork—is leading to burnout, and how he is using AI to reclaim his time with patients.They discuss the perspective-shifting study where AI outperformed doctors in diagnosing complex cases, why "AI Scribes" are the future of clinical notes, and how non-medical professionals can use detailed prompts to audit their own health habits.In this episode, we cover:The "Firehose" Problem: How medical knowledge is doubling every 73 days and why no human doctor can keep up alone.The "AI Scribe": How Jeffrey uses tools to listen to appointments and write notes so he can spend more time focused on the patient's needs.The JAMA Study: The study where ChatGPT scored 90% on diagnostic reasoning vs. 76% for physicians.The "Placebo Effect" of Trust: Why human connection is still medically necessary, even if AI is smarter.The "Board of Directors" Prompt: A creative way to turn ChatGPT into a simulated team of health experts to review your lifestyle.Quote of the episode: "If this role continues to be adversarial, doctors are going to lose... but if we partner with AI, we can support families in a way we've never been able to before." — Dr. Jeffrey HolzbergTools & Studies & Further Links:More on Dr. Jeffrey Holzberg:[email protected]: Large Language Model Influence on Diagnostic Reasoning (JAMA Network Open, 2024)Tools: ChatGPT (Voice Mode), OpenEvidence, Freed/Scribe AI.Check our social media channels (Instagram and TikTok) where we are sharing Dr Holzberg's prompts from the end of the episdoe.Timecoded Chapters:00:00 - Intro: The 15-minute appointment problem03:38 - The "Firehose": Why medical knowledge doubles every 73 days09:48 - The AI Scribe: How AI is letting doctors make eye contact again18:37 - The JAMA Study: ChatGPT (90%) vs. Doctors (76%)23:16 - From "Cheating" to Essential Partner: Jeff's watershed moment27:54 - Why we still need humans (The Placebo Effect & Trust)43:41 - Quick Tip 1: Creating a "Personal Health Board of Directors"50:21 - Quick Tip 2: The "Blind Spot" Prompt for finding behavioral patterns52:32 - OutroDisclaimer: Although Dr. Jeffrey Holzberg is a medical professional, the content in this episode is for informational and entertainment purposes only and does not constitute medical advice. Never disregard professional medical advice or delay in seeking it because of something you have heard on this podcast or read in these notes. AI tools can hallucinate and make errors; they should never replace the judgment of a qualified healthcare provider.Don't forget to like and subscribe.Production Credits: Host: Bobby | Guest: Dr. Jeffrey Holzberg | Copy & Show Notes: Gemini

Can you build an app in an afternoon with zero coding experience? Or use ChatGPT to demand justice after a life-threatening accident?In this episode, Bobby sits down with Catherine Crowe, Managing Partner at Quite Frankly Productions. Catherine shares her perspective as a "non-techie" business leader who uses AI not just to manage a production company, but to navigate parenting, shopping, and life in general.They discuss the practical side of AI—from deciphering foreign labels at the supermarket to drafting high-stakes legal emails after a stray golf ball struck her daughter. Plus, in a special addendum recorded weeks later, Bobby and Catherine reveal how they both used the new "Vibe Coding" trend to build fully functional software tools for their business and family life in a single afternoon.In this episode, we cover:Vibe Coding: How the era of "writing code" is ending and how non-techies are using tools like Google AI Studio to build custom apps (like a family budget tracker) just by talking to an AI.The "AI Attorney": How Catherine used ChatGPT to fight a negligence claim and demand safety measures after a dangerous incident involving a local golf course.Everyday Visual Hacks: Using AI vision to generate recipes from photos of ingredients, compare products at Target, and translate hair dye instructions.Corporate Productivity: Using LLMs to get over the "ick" factor of writing LinkedIn posts and speeding up tedious procurement bids.Parenting & Education: The potential for AI to explain "new math" to parents and the debate around kids using AI.Quote of the episode: "You could even sort of draft a lawyer letter or say, 'My attorney advises me X,' and my attorney is ChatGPT." — Catherine CroweTools mentioned: ChatGPT (Vision & Memory), Google Gemini 3, Google AI Studio, Firebase.Don't forget to like and subscribe.Timecoded Chapters00:00 - Intro: The Vibe Coding Revolution01:55 - Meet Catherine Crowe, Managing Partner at Quite Frankly03:27 - Bridging the gap between "Techies" and "Production"05:38 - The Memory Feature: When ChatGPT knows you too well08:42 - Using AI to cure writer's block for LinkedIn and Procurement13:31 - Rapid Fire Tips: Flight hacking, Name generation, and Comparisons15:47 - Visual AI: Translating instructions and "Reverse Engineering" recipes19:42 - When NOT to use AI: The Spreadsheet Hallucination25:31 - Parenting: Is AI safe for kids and helping with homework?34:13 - The "AI Attorney": Fighting a golf course negligence claim37:45 - ADDENDUM: What is "Vibe Coding"?41:43 - Building a business budgeting tool in an afternoon43:10 - Catherine builds a Family Expense Tracker (No Code)45:51 - Practical Tips: How to start Vibe Coding with Google AI Studio

Is AI the beginning of the end, or just a really efficient way to fix a leaking toilet?In this episode, Bobby sits down with Andrew Turner, Employee Engagement Director at Diageo North America (the company behind Guinness, Smirnoff, and Captain Morgan). Andrew shares how he went from a "Terminator 2" skeptic—fearing the rise of Cyberdyne Systems—to an AI power user in the corporate world.They discuss the balance between human authenticity and AI efficiency in corporate communications, and why "Artificial General Intelligence" might not be the scary monster we think it is. Plus, Andrew shares how he uses ChatGPT Vision to handle home repairs and plan complex group trips.In this episode, we cover:The "Aha" Moment: How a flight to Kentucky and a brewery opening prompt changed Andrew's mind on AI.Corporate Comms: Using LLMs to cure "blank page syndrome" for executive messaging without losing the human touch.Deep Research: How Diageo uses AI agents to spot trends (like Gen Z drinking habits) alongside traditional agency reports.Everyday Use Cases: Using ChatGPT to identify broken toilet parts and visualize kitchen renovations.The "Gary Cabbage" Incident: Bobby’s struggle with ChatGPT’s long-term memory.Travel Hacking: Planning a 60th birthday trip for 12 people with conflicting tastes.Quote of the episode:"I have no interest in letting AI do my work for me. But it appeals to me that it gets me started... It’s not a shortcut, it greases the wheels." — Andrew TurnerTools mentioned: ChatGPT (Vision & Memory), Google Gemini, Deep Research.Don't forget to like and subscribe.Timecoded Chapters00:00 - Intro & AGI Teaser00:29 - Meet Andrew Turner, Employee Engagement Director at Diageo01:01 - What is "Employee Engagement" in a 30,000-person company?05:29 - Andrew’s "Aha Moment" with AI on a flight to Kentucky08:47 - From "Terminator 2" fears to embracing the tool10:05 - AGI vs. ASI: Is it the end of the world?15:16 - Using AI to cure "blank page syndrome" in corporate writing18:14 - Can AI replace coders? Bobby's failed attempt to build an app23:32 - How big corporations vs. small businesses use AI developers24:22 - AI at Diageo: "Deep Research" and spotting Gen Z trends31:10 - Quick Tip 1: General Use. Be Curious (Fixing a toilet with ChatGPT Vision)33:48 - The "Gary Cabbage" Incident: When ChatGPT’s memory goes wrong35:22 - Quick Tip 2: Specific Use Case. Interior design and visualizing home renovations39:57 - The trust issue: When is it okay to use AI-generated content?43:51 - Quick Tip 3: Unexpected Use Case. Planning a complex group trip for 12 people46:38 - Outro

“It’s adapt or die… and the billable hour won’t survive.” Freshfields partner Jerome Ranawake joins me to talk about how AI is reshaping big-law from the inside: proprietary Gemini tools, NotebookLM for class actions and due diligence, and why clients are now demanding to know how their firms use AI. We dig into what this means for trainees, why rote document review is disappearing, and why Jerome thinks the future looks more like apprenticeships and value-based fees than armies of juniors billing by the hour. Along the way we get practical: how he actually uses Perplexity / Claude / ChatGPT, a simple GCSE prompting framework, AI-planned hiking trips, and a clear warning on hallucinations—“AI is a drug… don’t let early success kill your skepticism.” ⸻ Highlights • Inside a 200-year-old “tomorrow-focused” law firm and its Google Gemini collaboration • How Jerome uses Perplexity, Claude, ChatGPT & NotebookLM for research and case prep • Turning weeks of legal digging into seconds of AI-assisted lookup • Class actions & due diligence: thousands of pages → red-flag summaries • Why clients now ask, “How are you using AI—and how does it save me money?” • The training crunch: fewer grunt hours, more exposure and apprenticeships • Why AI pressures could mean the end of the billable hour • GCSE prompting: Goal, Context, Source, Expectation • Personal use cases: multi-day hiking itineraries and redesigning classic cars • Watch-outs: hallucinations, over-trusting outputs, and keeping your guard up ⸻ Chapters 00:00 Intro – Jerome, Freshfields & a 200-year-old firm looking at tomorrow 01:11 “Adapt or die” – why AI is now a strategic imperative 06:15 Using Perplexity / Claude / ChatGPT for pure legal research 07:20 One week of research vs 10 seconds with Perplexity 08:35 Comparing tools & why links and sources matter 09:38 Freshfields’ Gemini + NotebookLM stack & data protection 11:10 Using AI to expand thinking, not just “give the answer” 13:12 Class actions: summarising thousands of claims at speed 14:58 Data rooms, due diligence & standardized AI prompting 16:26 What happens to junior lawyers & grunt work? 18:06 Apprenticeships, judgment, and experience in an AI world 21:23 Exponential change & trying to reason about the curve 24:30 Tip: GCSE prompting framework 26:58 Tip: Using AI for complex hiking itineraries 29:32 Tip: Fun design use cases (classic cars in 2025) 31:39 Watch-out: “AI is a drug” – stay skeptical ⸻ Guest Jerome Ranawake — Partner at Freshfields Bruckhaus Deringer, New York. CTA Subscribe to It’s Not the End of the World: Everyday Use Cases for AI for more real-world conversations on how people are actually using these tools. If you enjoyed this episode, a rating or review really helps. SEO Tags AI in law, generative AI legal, Freshfields, Gemini NotebookLM, Perplexity AI, Claude, ChatGPT for lawyers, billable hour, legal apprenticeships, due diligence automation, class action AI, GCSE prompting, practical AI tips

High School Teacher and Head of Science Dipesh Patel (London; ex-engineer) joins us to unpack how AI is transforming classroom practice—differentiation at scale, scaffolded literacy, and auto-generated problem sets—turning prep hours into bespoke learning. We get practical too: prompt recipes for physics, starters that calm a class, and how to stay accurate without losing the human touch.HighlightsDifferentiation beyond “low/mid/high”: truly bespoke tasks for 30 studentsPrompting AI to generate graded physics sets (with workings, hints, and misconceptions)Literacy scaffolds at multiple reading ages (incl. EAL support)AFL at speed: MCQs → Google Forms → instant feedbackStarters that settle behavior (word-search + 5 Q’s) and stretch for early finishersSaving & sharing prompts so whole departments level upChapters00:00 Game-level “just hard enough” engagement analogy00:36 Intro & Dipesh’s path (engineer → physics teacher → Head of Science)02:56 First contact with LLMs; when it clicked for teaching03:38 Physics workflow: 10 graded questions with workings, hints, and links05:13 Better resources, less time; mixed-ability wins06:36 Literacy scaffolds and EAL-friendly reading tiers07:54 Stretch tasks & reports for high-attainers09:17 Reading-age differentiation (same concept, multiple levels)14:13 Teacher workload + recruitment crisis; where AI fits16:46 Non-specialists teaching with AI support; communicating clearly18:32 Translation and clarity for EAL classrooms19:51 Accuracy & hallucinations—using AI as a support tool21:20 Meta-move: ask the model to write the reusable prompt24:13 Tip 1: Start with admin-heavy tasks you don’t need to “author”24:59 Tip 2: AFL quizzes (MCQ banks → Forms → instant check)26:47 Behavior management via engaging starters28:05 Auto-generating visuals (word searches, simple explainer assets)31:10 Surprising use: writing comms/marketing for the department33:08 The teacher’s evolving role; more projects and human skillsSEO TagsAI in education, differentiated learning, assessment for learning, teacher workload, classroom AI, ChatGPT for teachers, Google Gemini in schools, physics worksheets, literacy scaffolding, EAL support, prompt engineering for teachers, auto-marked quizzes, IB Physics, behaviour management starters, practical AI tips

Front End Lead Ben Kemp (CyberOwl; ex-Citi & Shell) joins us to unpack how AI is reshaping software work—10× code output, QA as the new choke point, and why “prompting” is fast becoming everyone’s core skill. We get practical too: fridge-photo recipe hacks, durable prompt habits, and where to draw the line on using AI for emotional support. It’s not the end of the world—it’s a recalibration.HighlightsWhat a front-end dev actually does vs UX designHow ChatGPT/Claude & GitHub Copilot changed day-to-day codingHiring tests in the LLM era & the “who wrote this?” problemQA as the bottleneck and why it’s more valuable than everThree quick tips: fridge-to-recipe, prompt stacks, and using AI for reassurance (with caveats)Chapters00:00 AI code flood & the QA choke point01:05 What front-end dev means (vs UX)03:14 Sprint workflow, tickets, story points06:36 Tools: ChatGPT/Claude; privacy modes07:47 GitHub & Copilot explained10:49 Hiring/tests post-LLMs12:38 Output vs review; ushering AI-made code15:14 Role shifts; QA demand18:24 Skills obsolescence & human-in-loop32:40 Tip 1: Fridge photo → recipe35:24 Tip 2: Prompt engineering as a superpower37:54 Tip 3: AI for reassurance—limits41:20 LLMs vs social media; back to real lifeSEO TagsAI in software, front-end vs UX, GitHub Copilot, ChatGPT for coding, Claude, QA engineering, software hiring, prompt engineering, practical AI tips

It’s Not the End of the World: Everyday Use Cases for AI is a podcast featuring down-to-earth conversations with real people about how they’re using AI in their daily work, creative projects, and life.In this episode, Jez Frankel — CEO of Quite Frankly Productions — talks about adopting AI as a practical, everyday tool. Jez uses ChatGPT as a “smarter search engine,” leans on it to translate legalese and sanity-check contracts, and has raised the bar on client decks with AI-generated visuals.He shares a striking shift at work: for the first time, employees are quoting clauses from their own contracts back to him—likely after uploading them to an LLM—an empowerment trend he welcomes (even if it keeps him on his toes).Jez and Bobby dig into prompt iteration (why the follow-up question matters), the pace of AI’s evolution, and what faster workflows mean for creative businesses.Hosted by Bobby Miklausic. Produced by Quite Frankly Productions | www.quitefranklyproductions.com For feedback or to be on the show, please email [email protected]

It’s Not the End of the World: Everyday Use Cases for AI is a podcast featuring down-to-earth conversations with real people about how they’re using AI in their daily work, creative projects, and life.In this episode, Luna Kaltenborn — an editor and camera operator at Quite Frankly Productions in New York — shares how AI tools like ChatGPT have become an everyday companion in her multilingual life and creative workflow. She explains how she uses AI to communicate confidently in English, translate messages between Mandarin and English, and even learn Japanese for travel.Luna and Bobby also discuss the role of AI in problem-solving and automation — from debugging editing software to programming a Raspberry Pi to keep her cat cool while she’s away. The conversation explores how non-native speakers, creatives, and even pet owners can integrate AI naturally into daily routines.Hosted by Bobby Miklausic.Produced by Quite Frankly Productions | www.quitefranklyproductions.comFor feedback or to be on the show, please email [email protected]

It's Not the End of the World: Everyday Use Cases for AI is a podcast that features down-to-earth conversations with real people about how they are using AI in their day-to-day jobs, workflows and life.In this episode, Luke and Bobby discuss the integration of AI tools in Luke’s creative workflow, particularly in animation. He shares insights on how AI image generation and language models like ChatGPT enhance his creative process, allowing for quicker idea generation and exploration. The discussion also touches on the importance of maintaining a personal touch in creative work, despite the use of AI, and offers practical tips for beginners on how to effectively utilize these tools.Hosted by Bobby Miklausic.For more about Luke see his website here: https://www.lukealexanderart.com/See his music on Spotify hereProduced by Quite Frankly Productions | www.quitefranklyproductions.comFor feedback or to be on the show please email [email protected]:00 Understanding Motion Design and Animation Workflows02:35 Leveraging AI in Creative Processes10:42 The Role of Image Generation in Design14:26 Concerns About AI Replacing Creative Jobs18:29 Practical Tips for Beginners Using AI Tools22:29 Daisy Chaining: Enhancing AI Usage24:48 Unexpected Use Cases in Animation28:05 AI in Music Production and Visual Art30:45 The Limitations and Challenges of AI34:00 Navigating AI's Impact on Design

It's Not the End of the World: Everyday Use Cases for AI is a podcast which tries to cut through the hype and the fear to see how real people are using AI in their day-to-day jobs, workflows and life.In this episode, Bobby and Katie discuss the integration of AI into workflows related to coordinating video productions. Katie shares her experiences using AI tools to enhance productivity, streamline processes, and assist in personal tasks like travel planning. They explore the balance between efficiency and creativity, the importance of maintaining a personal touch in client interactions, and the potential frustrations that come with relying on AI. The conversation also touches on practical tips for beginners and advanced applications of AI in production work.Hosted by Bobby Miklausic.Produced by Quite Frankly Productions | www.quitefranklyproductions.comFor feedback or to be on the show please email [email protected]