MIT 6.S191 (Microsoft): AI for Biology
MIT 6.S191 (Microsoft): AI for Biology
MIT Introduction to Deep Learning 6.S191: Lecture 10
AI Optimized for Biology
Lecturer: Ava Amini (Principal Research Scientist)
Microsoft
** New 2025 Edition **
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MIT 6.S191 (Comet ML): A Hipocratic Oath, for *your* AI
MIT Introduction to Deep Learning 6.S191: Lecture 9
A Hipocratic Oath, for your AI
Lecturer: Doug Blank (Head of Research)
Comet ML
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MIT 6.S191 (Liquid AI): Large Language Models
MIT Introduction to Deep Learning 6.S191: Lecture 8
Large Language Models
Lecturer: Maxime Labonne (Liquid AI)
Maxime Labonne is the Head of Post-Training at Liquid AI. He has made significant contributions to the open-source community, including the LLM Course, tutorials on fine-tuning, tools such as LLM AutoEval, and several state-of-the-art models like NeuralDaredevil. He is the author of the best-selling books “LLM Engineer’s Handbook” and “Hands-On Graph Neural Networks Using Python”.
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MIT 6.S191 (Google): Large Language Models
MIT Introduction to Deep Learning 6.S191: Lecture 7
Large Language Models (Part 1)
Lecturer: Peter Grabowski (Google)
Peter Grabowski leads an applied research team focused on Gemini at Google.
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MIT 6.S191: Language Models and New Frontiers
MIT Introduction to Deep Learning 6.S191: Lecture 6
Language Models and New Frontiers
Lecturer: Ava Amini
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MIT 6.S191: Reinforcement Learning
MIT Introduction to Deep Learning 6.S191: Lecture 5
Deep Reinforcement Learning
Lecturer: Alexander Amini
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MIT 6.S191: Deep Generative Modeling
MIT Introduction to Deep Learning 6.S191: Lecture 4
Deep Generative Modeling
Lecturer: Ava Amini
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MIT 6.S191: Convolutional Neural Networks
MIT Introduction to Deep Learning 6.S191: Lecture 3
Convolutional Neural Networks for Computer Vision
Lecturer: Alexander Amini
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MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention
MIT Introduction to Deep Learning 6.S191: Lecture 2
Recurrent Neural Networks
Lecturer: Ava Amini
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MIT Introduction to Deep Learning | 6.S191
MIT Introduction to Deep Learning 6.S191: Lecture 1
*New 2025 Edition*
Foundations of Deep Learning
Lecturer: Alexander Amini
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MIT 6.S191 (2024): Google - Generative AI for Media
MIT Introduction to Deep Learning 6.S191: Lecture 7
Generative AI for Media
Lecturer: Doug Eck (Google)
Douglas Eck is a Senior Research Director at Google, and leads research efforts at Google DeepMind in Generative Media, including image, video, 3D, music, and audio generation.
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MIT 6.S191 (2024): Building AI Models in the Wild
MIT Introduction to Deep Learning 6.S191: Lecture 8
Endless Experimentation: Building AI Models in the Wild
Lecturer: Niko Laskaris (VP, Customer Engineering) and Doug Blank (Head of Research)
Comet ML
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Ep. 199: AI Answers - Prompting AI, 2026 Job Disruption, AI Output Validation, & Preventing Burnout
Ep. 199: AI Answers - Prompting AI, 2026 Job Disruption, AI Output Validation, & Preventing Burnout
In Episode 199, Paul Roetzer and Cathy McPhillips answer 15 questions business leaders continue asking again and again. . This one cuts across the full spectrum: from whether prompt libraries still matter and what custom GPTs actually solve for, to the verification problem nobody wants to talk about, why the AI burnout problem is hitting early adopters hardest, and what it really means that 4-6 trillion in knowledge worker wages is now a target for AI companies and their investors.
00:00:00 — Intro
00:07:00 — Question #1: Do you need to prompt AI the same way every time?
00:10:59 — Question #2: What problem do custom GPTs actually solve?
00:14:26 — Question #3: Are SaaS providers becoming model agnostic?
00:17:09 — Question #4: Why AI voice and tone change when models update.
00:20:36 — Question #5: AI output validation: why there's no shortcut for verification.
00:23:17 — Question #6: Tools for building AI agents: where to start.
00:26:11 — Question #7: Will knowledge workers face the same AI disruption as developers?
00:29:53 — Question #8: AI burnout: how leaders can prevent it during the AI transition.
00:36:21 — Question #9: Which roles and skills are most at risk from AI?
00:42:03 — Question #10: Traditional BI platforms vs. AI-first reporting systems.
00:45:22 — Question #11: Build vs. buy: AI decision framework for business leaders.
00:48:52 — Question #12: Competitive advantage for AI-forward agencies.
00:52:43 — Question #13: How to tell when someone just copy-pasted from ChatGPT.
00:54:39 — Question #14: Ads in AI platforms: what business users should know.
00:56:42 — Question #15: The one AI superpower every business leader needs.
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Microsoft AI CEO: Most White-Collar Jobs Automated in 18 Months
Microsoft AI CEO Mustafa Suleyman told the Financial Times that most white-collar tasks —accounting, legal, marketing, project management — will be fully automated by AI within 12–18 months.
Paul Roetzer and Mike Kaput break down why the technology timeline might be accurate while the adoption reality is wildly different.
Plus: Andrew Yang's "displacement wave" predictions, The Atlantic on the worst-case scenario for college-educated workers, and Federal Reserve Governor Barr's three scenarios for AI's labor market impact.
From The Artificial Intelligence Show, Ep. 198.
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Ep. 198: Microsoft AI CEO Predicts Job Automation in 18 Months, AI Productivity Proof & Seedance 2.0
Microsoft's AI CEO says your job gets automated in 18 months. But most companies can't even get past step one of AI adoption. Paul Roetzer and Mike Kaput break down what's really happening, and why the gap between AI haves and have-nots is becoming even wider.
In this episode, Paul shares his 7-point thought experiment on the future of work after spending time with executives at major enterprises. Plus: Dario Amodei's two-hour warning about the AI exponential, AI productivity showing up in national economic data, ByteDance's copyright firestorm, Claude Sonnet 4.6, the Open Claw acquisition, AI wearables from Apple and Meta, and a journalism school debate that hits close to home.
Access the show notes and show links here:
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Click here to take this week's AI Pulse: https://docs.google.com/forms/d/e/1FAIpQLSd--6hY8F55E82g-mpnjjxiiXQA48jqeEUeDVHwjOXUK-Gncg/viewform?usp=dialog
Timestamps:
00:00:00 — Intro
00:05:38 — AI Pulse Survey Results
00:08:48 — Microsoft AI CEO Predicts White Collar Work Automated in 12-18 Months
00:20:42 — AI Productivity Evidence
00:33:23 —Dario Amodei on Dwarkesh
00:47:55 — Dor Brothers AI Movie and the Rise of Seedance
00:55:07 — Claude Sonnet 4.6
01:00:51 — OpenClaw Creator Goes to OpenAI
01:05:00 — OpenAI Devices and AI Devices
01:14:51 — AI in Journalism Controversy
01:25:05 —Meta Patents AI for the Dead
01:26:56 — AI Product and Funding Updates
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The world is changing and most people have no idea. #artificialintelligence #nextgenai
There's a growing group of people who understand what's actually happening with AI right now the science behind it, the pace of change, the magnitude of what's coming. And they feel completely alienated. Because most of the world is going about their daily lives totally unaware. It's not arrogance. It's the weight of seeing something massive that others haven't noticed yet. If you feel this way, you're not alone.
#AI #TechFuture #ArtificialIntelligence #AIAwareness #FutureShock #YouTubeShorts
From Ep.197 of The Artificial Intelligence Show
The people who built AI don't understand it. #artificialintelligence #nextgenai
Here's what keeps people up at night: the labs building the most powerful AI systems on Earth don't fully understand how they work. They don't know what these models are truly capable of. And when dangerous or unexpected capabilities emerge from more training, they bury them. They nerf them out of the system before anyone sees. We're building something we can't fully explain, discovering abilities we didn't plan for, and hiding the ones that scare us. That's where we are right now.
#AISafety #ArtificialIntelligence #AILabs #EmergentAI #Technology #BlackBox #YouTubeShorts
From Ep.197 of The Artificial Intelligence Show
You're using AI like it's email in 2000. #nextgenai #artificialintelligence
Using ChatGPT for emails and summaries is like getting the internet in 2000 and only knowing how to send emails. You'd be completely missing search, e-commerce, and social media being invented around you. That's where most people are with AI right now. Blissfully unaware. The full capabilities of today's models are insane and the vast majority of workers and leaders haven't scratched the surface.
#AI #ChatGPT #ArtificialIntelligence #FutureOfWork #AITools #Techliteracy #YouTubeShorts
From Ep.197 of The Artificial Intelligence Show
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How I Use Obsidian + Claude Code to Run My Life
How I Use Obsidian + Claude Code to Run My Life
I sit down with my dear friend Vin (Internet Vin) for a deep, hands-on walkthrough of how he uses Obsidian and Claude Code together as a thinking partner, idea generator, and personal operating system. Vin demonstrates live how Claude Code can read, reference, and surface patterns across an entire Obsidian vault of interlinked markdown files — turning years of personal notes into actionable insights, project ideas, and even custom commands. This episode covers everything from the basic setup to advanced workflows like tracing how ideas evolve over time, generating contextual startup ideas, and delegating tasks to autonomous agents. If you are serious about getting the most out of LLMs, this is the episode that shows you how your own writing becomes the fuel.
Link to Vin's skills and my notes: https://startup-ideas-pod.link/obsidian-commands
Timestamps
00:00 – Intro
02:10 – What Is Claude Code?
06:45 – What Is Obsidian?
10:28 – Obsidian CLI: Giving Claude Code Access to Your Vault
14:53 – Thinking Tools: Ghost, Challenge, Emerge, Drift, Ideas, Trace
22:51 – The Role of Reflection in Building a Powerful Vault
25:15 – How This Relates to OpenClaw (Autonomous Agents)
29:13 – Live Demo: /Connect — Bridging Two Domains
31:25 – Meeting Notes & External Info
33:23 – Why Vin Keeps a Strict Separation: Human-Written vs. Agent-Written
35:42 – How Claude Code uses Obsidian
41:46 – Live Demo: /Ideas — Generating Actionable Ideas from Your Vault
47:10 – The /Graduate Command
50:29 – Why Obsidian Is the Missing Link for AI Companies
54:53 – The Alpha: Why 99.99% of People Won't Do This
57:38 – Closing Thoughts & Where to Follow Vin
Key Points
* Claude Code is a command-line agent that can control your computer through natural language — and its power multiplies when you feed it rich, persistent context files instead of re-explaining projects every session.
* Obsidian is uniquely valuable because it sits on top of interlinked markdown files; the new Obsidian CLI lets Claude Code see both the files and the relationships between them.
* Vin built custom slash commands (/trace, /connect, /ideas, /ghost, /drift, /challenge) that let him use Claude Code as a thinking partner — surfacing latent patterns, contradictions, and ideas he would never see on his own.
* Writing and daily reflection are the engine of the entire system: the more you write, the more context the agent has, and the more it can do for you.
* Markdown files are the real oxygen of LLMs; if you are serious about building a personal OS with AI, a centralized note-taking tool built on markdown is foundational
Numbered Section Summaries
1. Obsidian as an Interlinked Knowledge Base
Vin introduces Obsidian as an interface that sits on top of a folder of markdown files, with the critical addition of backlinks — connections between files that mirror how the brain forms associations. He walks through his own vault, showing how daily notes, project files, and notes on people all link together in a visual graph.
2. Obsidian CLI: The Bridge Between Your Vault and Claude Code
The real breakthrough comes from Obsidian CLI, which gives Claude Code access to both the files and their interrelationships. This means the agent can see that a note about filmmaking is connected to a note about world building, and can surface cross-domain patterns you have been circling for months without realizing it.
3. Custom Slash Commands as Thinking Tools
Vin demonstrates a suite of custom commands he built: /context loads his full life and work state; /today pulls calendar, tasks, and daily notes into a prioritized plan; /trace tracks how an idea has evolved over time; /connect bridges two domains using the vault's link graph; /ghost answers a question the way Vin would; /challenge pressure-tests his current beliefs. These turn Claude Code from a generic assistant into a deeply personalized thinking partner.
4. Markdown Files as the Foundation of the AI Era
I make the case that if you are serious about using LLMs to their full potential, a centralized markdown-based note-taking system is table stakes. Writing and reflection are the raw material; files are perfect memory where human recall is flawed; and the 99.99% of people who skip this step are leaving massive value on the table.
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com/
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/
FIND ME ON SOCIAL
X/Twitter: https://twitter.com/gregisenberg
Instagram: https://instagram.com/gregisenberg/
LinkedIn: https://www.linkedin.com/in/gisenberg/
FIND VIN ON SOCIAL
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Youtube: https://www.youtube.com/@otherstuffpod
Personal Website: https://internetvin.com/Index
Making $$$ with OpenClaw
I sit down with Nick Vasilescu, founder of Orgo, to break down exactly how people are turning OpenClaw — the open-source computer use agent — into a real revenue stream. Nick walks me through live demos of deploying OpenClaw for business clients, shows how sub-agents and parallelization multiply output, and shares his design-thinking framework for identifying and automating high-value workflows. We even build a TikTok trend-hunting agent from scratch during the episode to prove how fast you can go from idea to working prototype.
Timestamps
00:00 – Intro
02:50 – Getting Set Up with OpenClaw
05:02 – Finding the Wedge: Automating Real Business Outcomes
07:39 – The Upwork Hack: Finding Paid Automation Jobs
09:41 – Andreessen Horowitz on Computer Use Agents
11:01 – Setting Up a Client Workspace in Minutes
12:41 – Design Thinking: Mapping Value vs. Effort
15:23 – Using OpenClaw to Prioritize Automations
17:57 – Building Automation Pipelines with Claude Code
19:33 – Sub-Agents vs. Tasks vs. Skills
23:22 – Automation Possibilities are huge
24:54 – Live Build: TikTok Trend Hunter from Idea Browser
32:09 – Start with an MVP Skill, Then Iterate
32:41 – Architecture of the TikTok Agent Script
36:59 – The Arbitrage Opportunity: Most Businesses Still Need Help
40:30 – Agents Are the New SaaS
42:42 – Demoing TikTok Trend Hunter
44:11 – Building Assets & the Abundance AI Will Bring
47:58 – Closing Advice: Get Your Hands Dirty
Links Mentioned:
Orgo: https://startup-ideas-pod.link/orgo
Key Points
* OpenClaw is more than a personal assistant — it is a deployable business tool that can automate end-to-end workflows for paying clients.
* The fastest path to revenue is finding automation jobs on Upwork (RPA, desktop automation, workflow building) and fulfilling them with OpenClaw and Claude Code.
* Sub-agents allow your main OpenClaw instance to delegate specialized tasks, keeping the orchestrator free and multiplying throughput through parallelization.
* A design-thinking approach — mapping automation opportunities by value vs. effort — is essential before building anything.
* Verticalizing computer use agents for a specific industry (manufacturing, real estate, distributorships) is the major startup opportunity Andreessen Horowitz is calling out.
* Always start by building a lightweight MVP skill, test it, debug, and iterate before scaling.
Numbered Section Summaries
1) OpenClaw Setup and Deployment Options
Nick demonstrates how easy it is to install OpenClaw on a virtual machine using Orgo, though he makes clear you can use Manus, Kimi, a Mac Mini, or any setup you prefer. He spins up a workspace for me in under a minute — just a curl command in the terminal and it is ready. The point: the barrier to entry is nearly zero.
2) The Wedge: Finding Business Automation Opportunities
The viral demos on Twitter are fun but toyish. The real money is in identifying a specific workflow inside a business — like downloading product data from a legacy platform and uploading it into a Zoho CRM — and automating that end to end. Nick calls this the "wedge" and it is the foundation of the entire business model.
3) Sub-Agents and Parallelization
OpenClaw can spawn up to eight sub-agents, each with its own computer. Nick shows two parallelization strategies: splitting one task across multiple agents, or running the same task across multiple instances for volume. He spawned sub-agents to scrape Upwork jobs, build demo proposals, and pick the best one — all automatically.
4) The Upwork Hack
If you have zero clients, Upwork is the starting point. People are posting $500–$5,000 jobs right now asking for AI workflow automation, desktop automation, and RPA replacements. Nick's approach: find the job, give the context to OpenClaw or Claude Code, build a demo, and submit the proposal. It is a lead generation machine.
5) Design Thinking for Automation
Before touching any code, Nick maps every potential automation on two axes: value created and effort/cost/time. You start with high-value, low-effort opportunities — the low-hanging fruit. Then you map out the step-by-step workflow in Figma (or Mermaid code for ExcaliDraw/TLDraw) so OpenClaw can execute tip to tail.
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com/
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/
FIND ME ON SOCIAL
X/Twitter: https://twitter.com/gregisenberg
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LinkedIn: https://www.linkedin.com/in/gisenberg/
FIND NICK ON SOCIAL
Youtube: https://www.youtube.com/@nickvasiles
Instagram: https://www.instagram.com/nickvasilescu/
Personal Website: https://www.nickvasilescu.com/
Claude Code built me a $273/Day online directory
I sit down with Frey Chu to go deep on how to use Claude Code to build AI-coded directories, specifically how to tackle the hardest part: getting valuable data. Frey walks us through three real-world directory examples (a funeral home directory, a senior living directory, and GasBuddy), we play a game guessing their traffic and monetization, and then he does a full live walkthrough of the seven-step process he used to build a luxury restroom trailer directory in four days for under $250. I also ask him about the future of directories in a world where LLMs are changing how people search.
Timestamps
00:00 – Intro
02:15 – What you’ll learn
03:00 – Directory Game:Parting(Funeral Home Directory)
05:42 – Directory Game: A Place for Mom (Senior Living Directory)
08:00 – Directory Game: GasBuddy (Crowdsourced Gas Price Directory)
12:32 – The Data Moat Thesis
14:02 – Luxury Restroom Trailers: The Niche Directory Demo
15:52 – Before & After: WordPress Directory vs. Claude Code Directory
19:04 – Cost Breakdown: Built in 4 Days for Under $250
21:23 – Step 1: Scraping Raw Data with Outscraper
22:25 – Step 2: Cleaning Data with Claude Code
23:27 – Step 3: Using Crawl4AI for Automated Website Verification
28:01 – Step 4: Enriching Trailer Inventory Data
31:33 – Step 5: Scraping & Verifying Images with Claude Vision
36:33 – Step 6: Amenities, Features & Filter Data
38:31 – Step 7: Service Areas
39:15 – Niche Directory Ideas: Dementia Care, ADA Bathrooms, Tap Water Quality
43:38 – For Naysayers: Is Building a Directory Worth It in 2026?
47:51 – LLMs, AI Search & the Future of Directories
Links Mentioned:
Outscraper: https://startup-ideas-pod.link/outscraper
Crawl4AI: https://startup-ideas-pod.link/crawl4AI
Key Points
* Data is the moat for any successful directory — and with Claude Code plus Crawl4AI, the hardest part (data cleaning and enrichment) is now dramatically faster and cheaper.
* Every successful directory helps people save time, save money, or make money — and price transparency is a massive, underserved opportunity across boring niches.
* Frey built a fully enriched luxury restroom trailer directory in four days for under $250, a process that would have taken 2,000+ hours of manual work.
* Monetization depends on the niche: lead generation, vertical SaaS, agency services, ads, debit cards, affiliate, and marketplace models all work.
* Directories remain strong in an AI search world because users browsing a directory are in the decision-making phase, especially in high-stakes niches like health, legal, finance, and senior living.
* Building a directory is one of the best playgrounds to learn Claude Code, SEO, and lead generation — even if the first one is just a learning exercise.
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com/
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/
FIND ME ON SOCIAL
X/Twitter: https://twitter.com/gregisenberg
Instagram: https://instagram.com/gregisenberg/
LinkedIn: https://www.linkedin.com/in/gisenberg/
FIND FREY ON SOCIAL
X/Twitter: https://x.com/freychu
YouTube: https://www.youtube.com/@FreyChu/featured
ShipYourDirectory: https://www.shipyourdirectory.com/
Stop Shipping AI Slop. Design with Weavy AI, Claude etc.
I sit down with my friend Suraya Shivji, a designer who sold her last company to Snap, to tackle the biggest problem in vibe coding: everything looks the same. Suraya walks me through her full AI design workflow — from Google AI Studio to Claude to Weavy AI to Figma and back — showing how to turn a generic one-shot prototype into a beautifully branded app. Together we live-build a voice journaling app called "Cassette," covering everything from defining how a product should *feel*, to generating color palettes, custom assets, and logos using Weavy AI, Flux, and Ideogram. This is a start-to-finish tutorial for anyone who wants their vibe-coded products to look like a real brand designer made them.
Timestamps
00:00 – Intro
03:35 – Why Every Vibe-Coded App Looks the Same
04:34 – Prototyping with Google AI Studio
09:34 – Defining How Your App Should Make Someone Feel
11:07 – Using Claude to build Brand Identity/Guidelines
16:38 – Building a Mood Board with Cosmos
17:58 – Intro to Weavy AI: Node-Based Visual AI Tool
19:32 – Generating Color Palettes with Flux 2 Pro in Weavy
26:54 – Creating Record Buttons and Custom Assets in Weavy
30:46 – Generating Cassette Tape History Elements
34:47 – Logo Generation with Ideogram V3 in Weavy
38:52 – Compositing the Final App Screens in Figma
47:38 – Pasting the Design Back into Google AI Studio
47:00 – Comparing Figma Output vs. Google AI Studio Output
52:20 – Final Advice: Spend Time on Inspiration, Then Build
Key Points
- Vibe-coded apps are easy to build now, but they all look the same — branding is what makes someone actually download and use your product.
- Weavy AI is a node-based tool that lets you run image models like Flux 2 Pro and Ideogram visually, making it easy to generate color palettes, buttons, assets, and logos from reference images.
- Claude serves as the ideal brainstorming partner for writing brand guidelines, crafting image generation prompts, and refining your creative direction.
- The full workflow is: Google AI Studio (prototype) → Claude (brand strategy) → Cosmos (mood board) → Weavy AI (visual assets) → Figma (composition) → back to AI Studio (final build).
Numbered Section Summaries
1) The Vibe-Coded Sameness Problem
I open by laying out the core issue: anyone can build an app now, which is amazing, but everything ends up looking identical. If your app looks like everything else, it is really tough to expect anyone to download it. Soraya and I set out to prove you can go from a generic prototype to something that looks like an agency designed it.
2) Defining How Your Product Should Feel
Soraya's process always starts with emotion: who is this for, and how should they feel using it? We decide our journaling app is for overthinkers who are tired of being on their phones and want something analog and calm. She pastes this framing into Claude to generate deeper brand insights, including what the product is and what it is *absolutely* meant to avoid being (a productivity tool, a social app).
3) Brand Guidelines and Mood Boarding
Claude helps us write brand guidelines for our app, now called "Cassette." Soraya then moves to Cosmos (a Pinterest alternative) to build a mood board of vintage cassette imagery. The key insight: brand guidelines are really just a prompt you bring into your visual tools — they guide every design decision downstream.
4) Weavy AI: The Visual Asset Engine
Here is the core of the episode. Soraya shows how Weavy AI works as a node-based canvas where you feed in reference images and run them through models like Flux 2 Pro. We generate color palettes, textured backgrounds, record buttons, and cassette tape history elements — all grounded in the mood board. She switches between Claude (for prompt writing) and Weavy (for visual output) throughout.
5) Compositing in Figma and Final Comparison
Soraya assembles all the generated assets — logo, record button, cassette tapes, color palette — into iPhone frames in Figma. She shares practical tips like using blend overlay for automatic color matching. We then paste the Figma reference images back into Google AI Studio and compare outputs. The AI Studio version is dramatically better than the original one-shot, and Soraya notes you could skip Figma entirely if you prefer.
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com/
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/
FIND ME ON SOCIAL
X/Twitter: https://twitter.com/gregisenberg
Instagram: https://instagram.com/gregisenberg/
LinkedIn: https://www.linkedin.com/in/gisenberg/
FIND SURAYA ON SOCIAL
X/Twitter: https://x.com/surayashivji
Personal Website: https://www.surayashivji.com/
Claude Cowork Explained
In this episode, I sit down with Boris, the creator of Claude Code and one of the key builders behind Claude Cowork, to unpack what Cowork actually unlocks and how people use it in the real world. He walks through a hands-on demo where Cowork organizes files, extracts receipt data, builds a clean spreadsheet, and even drives the browser to create and share a Google Sheet. We go deep on how “agentic” work feels different when the model takes actions across your computer, your browser, and your tools. Then I shift into Boris’s viral workflow for Claude Code: parallel sessions, plan-first execution, Claude.md as a compounding team memory, and verification loops that dramatically improve output quality.
Key Points
* I use Cowork as a “doer,” not a chat: it touches files, browsers, and tools directly.
* I think about productivity as parallelism: multiple tasks running while I steer outcomes.
* I treat Claude.md as compounding memory: every mistake becomes a durable rule for the team.
* I run plan-first workflows: once the plan is solid, execution gets dramatically cleaner.
* I give Claude a way to verify output (browser/tests): verification drives quality.
Numbered Section Summaries
1. Cowork Makes Claude Code Feel Like A Teammate
I frame Cowork as a UI-first way to access Claude Code that feels approachable for non-technical users. Boris and I focus on real use cases, especially the “work on my stuff” mindset around files and day-to-day operations.
2. “Agentic” Means Actions, Not Answers
Boris draws a clear line between chat-style tools and agents that take action across your computer. We talk about why tool use and computer use matter, and why that direction has been core to Anthropic’s roadmap.
3. Demo: Clean Up Your World With Folder Access
We start simple: granting access to a receipts folder and renaming files to match receipt dates. It’s an easy first workflow that helps people build intuition for how Cowork operates with real files.
4. Demo: From Receipts → Spreadsheet → Google Sheet
We push the demo into “real work”: extracting receipt details into a spreadsheet, then moving it into Google Sheets through browser control. This is where the mental model shifts—Cowork becomes an operator across apps.
5. Parallelism Beats Speed
I bring up the obvious critique (“humans can do this faster”), and Boris explains the real advantage: running multiple tasks in parallel while you bounce between them. The workflow becomes tending to multiple agents instead of doing every click yourself.
6. Skills, Extensions, MCP: When To Customize
We talk about keeping Cowork simple early, then adding skills when you hit specific software workflows. Skills act like repeatable procedures that help the agent perform better inside specialized tools.
7. Boris’s Claude Code Setup: Plan → Execute → Verify
I break down Boris’s viral thread on how he works: run many sessions, start in plan mode, then switch into execution once the plan looks right. The signature upgrade is verification—giving Claude a way to test and confirm its own output.
8. Claude md As Compounding Engineering
We close on one of the most practical systems: a shared Claude md file checked into the repo, updated constantly by the team. Boris ties this to a “never repeat feedback” loop that turns recurring review comments into durable behavior.
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com/
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/
FIND ME ON SOCIAL
X/Twitter: https://twitter.com/gregisenberg
Instagram: https://instagram.com/gregisenberg/
LinkedIn: https://www.linkedin.com/in/gisenberg/
FIND BORIS ON SOCIAL
X/Twitter: https://x.com/bcherny
Claude Code Built My $450K Marketing Campaign
I sit down with Jonathan Courtney, host of Unscheduled CEO Podcast, to talk about the gap between building AI-powered products and actually making money from them. Jonathan walks through his four-step "Promoter Blueprint" — traffic, holding pattern, selling event, and conversion — and shows exactly how he uses Claude and Claude Code to execute each phase. This one is a wake-up call for any founder spending more time optimizing automations than promoting what they sell.
Timestamps
00:00 – Intro and Welcome Back
04:13 – The Founder’s Real Job: Promotion, Period
09:23 – The Promoter Blueprint (Screen Share)
19:38 – Using AI with Promoter Blueprint
22:52 – Inside Claude: Jonathan's Claude Workflow
28:41 – Moving from Claude to Claude Code for Builds
30:55 – Building a $450K Webinar Campaign with Claude
37:30 – Scale Up, Abundance Over Efficiency
43:57 – Final Advice: Embrace Your Role as Promoter
Links Mentioned:
JC's promoter blueprint: https://startup-ideas-pod.link/promoter-blueprint
Key Points
* A CEO's primary job is promoting the business — building is secondary to getting people in the door.
* AI tools become "procrastination machines" when builders optimize systems that have zero customers.
* Every revenue engine follows four phases: traffic, holding pattern, selling event, conversion (and a loop back).
* Claude projects combined with Claude Code create a fast workflow for going from research to a shipped marketing asset in under an hour.
* The current play is abundance and scale, using AI to run five campaigns instead of one, rather than cutting headcount for efficiency.
* Off-the-shelf solutions still beat custom builds in many cases — always ask before you spend three days vibe-coding something.
Numbered Section Summaries
1) The Builder Trap
Jonathan opens with a blunt observation: too many founders treat AI tool mastery as the job itself. He compares it to building the world's most automated restaurant and then telling zero people it exists. If you are spending days on automations and your revenue has stayed the same, you are procrastinating with extra steps.
2) The Promoter Mindset
Every successful CEO Jonathan can name — Dario Amodei, Sam Altman, Peter Levels, Jason Fried — spends at least half their time promoting. The founders people know by name are the founders who show up everywhere. Jonathan frames promotion as oxygen for the business: cut it off and the business dies regardless of how good the product is.
3) The Four-Step Promoter Blueprint
Jonathan shares a framework he normally sketches on paper for clients. Step 1 is traffic (organic or paid). Step 2 is the holding pattern — newsletters, podcasts, social — where you warm people up. Step 3 is the selling event: webinars, demos, email sequences, retargeting campaigns, or direct outreach. Step 4 is conversion, and everyone who does not convert loops back into the holding pattern for the next campaign.
4) Claude as a CEO's Marketing Co-Pilot
Jonathan walks through how he prepped for this very episode inside a Claude project — dumping a voice memo, having Claude create an ADHD-friendly outline, researching my past episodes, and auto-generating project instructions at the end of each chat. He then exported the context into a Claude MD file and moved to Claude Code to build the visual blueprint that shipped to Vercel in about an hour total.
5) From Marketing Brain to Lead Magnet in Minutes
Live on-screen, Jonathan shows his "AJ&Smart Marketing Expert Brain" Claude project — a setup loaded with books he has written, a 17,766-line swipe file of competitor emails, and custom instructions. He prompts it to generate lead magnet ideas tied to our episode and gets three strong concepts in seconds. The whole flow from podcast appearance to landing page used to take his team two to three days; it now takes half a day.
6) Less Prep, More Action
Jonathan and I agree that over-preparation is the biggest red flag in a founder. These tools are forgiving enough to learn on a live project. Jonathan jumped straight into Claude Code on a real campaign, hit the context window limit, figured out chunked workflows by necessity, and kept shipping. The takeaway: just cut.
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com/
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/
FIND ME ON SOCIAL
X/Twitter: https://twitter.com/gregisenberg
Instagram: https://instagram.com/gregisenberg/
LinkedIn: https://www.linkedin.com/in/gisenberg/
FIND JONATHAN ON SOCIAL
Unscheduled CEO Podcast: https://www.unscheduledceo.com/
X/Twitter: https://twitter.com/Jicecream
LinkedIn: https://www.linkedin.com/in/jonathan-courtney-4510644b/
Claude Code Clearly Explained
In this episode, I sit down with Professor Ras Mic for a beginner-friendly crash course on using Claude Code (and AI coding agents in general) without feeling overwhelmed by the terminal. We break down why your output is only as good as your inputs and how thinking in features + tests turns “vague app ideas” into real, shippable products. Was walks me through a better planning workflow using Claude Code’s Ask User Question Tool, which forces clarity on UI/UX decisions, trade-offs, and technical constraints before you build. We also talk about when not to use “Ralph” automation, why context windows matter, and how taste + audacity are the real differentiators in 2026 software.
Links Mentioned:
Ras's Ralphy AI Agent: https://startup-ideas-pod.link/ras-ralphy
Key Points
* Your results improve fast when you treat AI agents like junior engineers: clear inputs → clean outputs.
* The biggest unlock is planning in features + tests, not broad product descriptions.
* Claude Code’s Ask User Question Tool forces real clarity on workflow, UI/UX, costs, and technical decisions.
* If you haven’t shipped anything, don’t hide behind automation—build manually before using “Ralph.”
* Context management matters: long sessions can degrade quality, so restart earlier than you think.
Numbered Section Summaries
* The Real Reason People Get “AI Slop” I frame the episode around a simple idea: if you feed agents sloppy instructions, you’ll get sloppy output. Ras explains that models are now good enough that the failure mode is usually unclear inputs, not model quality.
* How To Think Like A Product Builder (Features First): Ras pushes a practical mindset: don’t describe “the product,” describe the _features_ that make the product real. If you can list the core features clearly, you can actually direct an agent to build them correctly.
* The Missing Piece: Tests Between Features: We talk about the shift from “generate code” to “build something serious.” The move is writing and running tests after each feature, so you don’t stack feature two on top of a broken feature one.
* Why Default Planning Mode Isn’t Enough: Ras shows the standard flow: open plan mode, ask Claude to write a PRD, and get a basic roadmap. The issue is it leaves too many assumptions—especially around UI/UX and workflow details.
* The Ask User Question Tool (The Planning Upgrade): This is the big unlock. Ras demonstrates how the Ask User Question Tool interrogates you with increasingly specific questions (workflow, cost handling, database/hosting, UI style, storage, etc.) so the plan becomes dramatically more precise.
* Spend Time Upfront Or Pay For It Later: We connect the dots: better planning reduces back-and-forth, reduces token burn, and prevents “I built the app but it’s not what I wanted.” The interview-style planning forces trade-offs early instead of late.
* Don’t Use Ralph Until You’ve Built Without It: Ras makes a strong case for reps: if you can’t ship something end-to-end yet, automation won’t save you—it’ll just move faster in the wrong direction. Build feature-by-feature manually first, then graduate to loops.
* Practical Tips: Context Discipline + Taste Wins: Ras shares a few operational habits: don’t obsess over tools like MCP/plugins, keep context usage under control, and restart sessions before quality degrades. We wrap on a bigger point: in 2026, “audacity + taste” is what makes software stand out.
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com/
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/
FIND ME ON SOCIAL
X/Twitter: https://twitter.com/gregisenberg
Instagram: https://instagram.com/gregisenberg/
LinkedIn: https://www.linkedin.com/in/gisenberg/
FIND MIC ON SOCIAL
X/Twitter: https://x.com/Rasmic
Youtube: https://www.youtube.com/@rasmic
AI marketing Masterclass: From beginner to expert in 60 minutes
I sit down with James Dickerson, a growth marketer, Claude Code power user, and the mind behind The Boring Marketer, to watch him build an entire marketing system live from the terminal. James walks me through his full workflow: deep research with the Perplexity MCP, positioning angle discovery, direct response copywriting, landing page creation, lead magnet design, ad creative generation with Remotion, and traffic strategy — all inside Claude Code using stacked skills and MCPs. By the end, we have a conversion-ready funnel for a fictional AI marketing agency serving boring local businesses, and James shares the free playbook he created from a two-hour recorded session so listeners can replicate the process themselves.
Timestamps
00:00 – Intro and Camera Setup Chat
02:57 – Episode Preview: Building a Vibe Marketing System
06:33 – Perplexity MCP for Market Research
08:13 – Live Demo: Researching an AI Marketing Agency Niche
09:48 – Positioning Angles Skill
11:34 – Direct Response Copywriting Skill
15:43 – Playwright MCP for Competitive Intelligence
17:37 – Keeping Your MCP Stack Simple (Perplexity, Firecrawl, Playwright)
20:59 – Anthropic's Front End Design Skill
25:51 – Remotion: Creating Video Ads from the Terminal
28:47 – Landing Page Review: "Boring Money" Agency
30:43 – Orchestrator Skill: Deciding What to Do Next
34:10 – Lead Magnet Skill
34:10 – Are Skills Underrated
39:08 – Claude Code Costs: $200/Month Max Subscription
42:03 – Live Lead Magnet Review
43:28 – Keyword Research and Traffic Strategy Skills
45:23 – The Evolution of Vibe Marketing
47:11 – Remotion Setup and Ad Creation Demo
54:47 – Final Ad and SEO Page Review
57:25 – Final Thoughts
Links Mentioned:
Vibe Marketing Playbook: https://startup-ideas-pod.link/vibe_marketing_playbook
Vibe Marketing Skills: https://startup-ideas-pod.link/Vibe_marketing_skills
Key Points
* Spending an hour on upfront research with the Perplexity MCP produces dramatically better marketing outputs than jumping straight into prompting.
* Skills are instruction manuals for your AI agent — the expert perspective you build into them (the last 10–20%) is what separates great output from generic AI slop.
* You can build a complete marketing funnel — landing page, lead magnet, ad creative, SEO content, and traffic strategy — in a single Claude Code session.
* Remotion lets you create programmatic video ads directly from the terminal at zero cost, in multiple formats, with custom branding.
* An orchestrator skill can guide you through what to do next, removing the "I have a landing page, now what?" paralysis.
* The same Claude Code environment where you build products can also ship your entire marketing system — research, copy, design, and deployment in one place.
Numbered Section Summaries
1. **The Research-First Foundation** James opens with his core philosophy: most people jump into AI tools and start prompting immediately, which is where AI slop comes from. I watch him demonstrate how he spends a full hour doing deep market research with the Perplexity MCP — analyzing competitors, finding gaps, and building rich context documents before ever creating a marketing asset. This context loading step is the foundation everything else builds on.
2. **Live Build: AI Marketing Agency Funnel** We go hands-on with a fictional use case — launching an AI marketing agency targeting boring local businesses doing $2–10M in revenue. James uses the positioning angles skill to surface five distinct angles, then spins up a task-based agent (prompted to think like me) to pick the strongest one. The winner: "Boring Money," an anti-agency positioning that resonates deeply with overlooked trade businesses.
3. **Traffic Strategy and the Full System** The session closes with James invoking keyword research and DTC ad skills to build a traffic plan. Claude Code identifies underserved local markets, generates SEO content pages for the website, and produces a paid ad strategy — all informed by the positioning, brand voice, and competitive intelligence gathered earlier. The full marketing system — research, positioning, landing page, lead magnet, ad creative, SEO content, and traffic strategy — is built in roughly one hour from the terminal.
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com/
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/
FIND ME ON SOCIAL
X/Twitter: https://twitter.com/gregisenberg
Instagram: https://instagram.com/gregisenberg/
LinkedIn: https://www.linkedin.com/in/gisenberg/
FIND JAMES ON SOCIAL
X/Twitter: https://x.com/boringmarketer
LinkedIn: https://www.linkedin.com/in/jadickerson/
Claude Opus 4.6 vs GPT-5.3 Codex
I sit down with Morgan Linton, Cofounder/CTO of Bold Metrics, to break down the same-day release of Claude Opus 4.6 and GPT-5.3 Codex. We walk through exactly how to set up Opus 4.6 in Claude Code, explore the philosophical split between autonomous agent teams and interactive pair-programming, and then put both models to the test by having each one build a Polymarket competitor from scratch, live and unscripted. By the end, you'll know how to configure each model, when to reach for one over the other, and what happened when we let them race head-to-head.
Timestamps
00:00 – Intro
03:26 – Setting Up Opus 4.6 in Claude Code
05:16 – Enabling Agent Teams
08:32 – The Philosophical Divergence between Codex and Opus
11:11 – Core Feature Comparison (Context Window, Benchmarks, Agentic Behavior)
15:27 – Live Demo Setup: Polymarket Build Prompt Design
18:26 – Race Begins
21:02 – Best Model for Vibe Coders
22:12 – Codex Finishes in Under 4 Minutes
26:38 – Opus Agents Still Running, Token Usage Climbing
31:41 – Testing and Reviewing the Codex Build
40:25 – Opus Build Completes, First Look at Results
42:47 – Opus Final Build Reveal
44:22 – Side-by-Side Comparison: Opus Takes This Round
45:40 – Final Takeaways and Recommendations
Key Points
* Opus 4.6 and GPT-5.3 Codex dropped within 18 minutes of each other and represent two fundamentally different engineering philosophies — autonomous agents vs. interactive collaboration.
* To use Opus 4.6 properly, you must update Claude Code to version 2.1.32+, set the model in settings.json, and explicitly enable the experimental Agent Teams feature.
* Opus 4.6's standout feature is multi-agent orchestration: you can spin up parallel agents for research, architecture, UX, and testing — all working simultaneously.
* GPT-5.3 Codex's standout feature is mid-task steering: you can interrupt, redirect, and course-correct the model while it's actively building.
* In the live head-to-head, Codex finished a Polymarket competitor in under 4 minutes; Opus took significantly longer but produced a more polished UI, richer feature set, and 96 tests vs. Codex's 10.
* Agent teams multiply token usage substantially — a single Opus build can consume 150,000–250,000 tokens across all agents.
Numbered Section Summaries
1) Setup and Configuration for Opus 4.6
I have Morgan walk through the exact steps every developer needs: update via NPM, verify version 2.1.32+, set the model to Opus in settings.json, and — critically — enable the experimental Agent Teams flag by setting `claude_code_experimental_agent_teams` equal to one. He also covers adaptive thinking (API-only), effort levels (max is Opus 4.6 exclusive), and TMUX split panes for visualizing multiple agents in action.
2) Feature-by-Feature Comparison
Opus 4.6 offers a 1-million-token context window, strong architectural comprehension, and less tendency to write reckless code. GPT-5.3 Codex has a roughly 200,000-token context window, wins on SWE-Bench Pro and coding benchmarks, and excels at progressive execution and rapid iteration. Morgan frames it well: Claude is your senior staff engineer asking "should we do this?" while GPT-5.3 is your founding engineer asking "how fast can I ship this?"
3) Live Build: Prompt Design and Fair Setup
Morgan creates separate prompts tailored to each model's strengths. For Opus, he instructs it to build an agent team with four specialists (architecture, prediction market domain, UX, testing). For Codex, he gives a parallel prompt asking it to think deeply about the same four areas. He starts both at essentially the same moment to keep the comparison honest.
4) Final Verdict and Recommendations
Morgan is clear: this is about methodology, not a winner-takes-all contest. Opus 4.6 excels when you want to delegate whole chunks of work to autonomous agents and review comprehensive results. Codex 5.3 excels when you want a fast, interactive collaborator you can steer in real time. Many teams will end up using both. Morgan encourages engineering leaders to give their teams access to both models and let them experiment.
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com/
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/
FIND ME ON SOCIAL
X/Twitter: https://twitter.com/gregisenberg
Instagram: https://instagram.com/gregisenberg/
LinkedIn: https://www.linkedin.com/in/gisenberg/
Morgan Linton
X/Twitter: https://x.com/morganlinton
Bold Metrics: https://boldmetrics.com/
Personal Website: https://linton.ai/
The Claude Code Skill My Smartest Friends Use
I sit down with Matt Van Horn, creator of the "Last 30 Days" skill for Claude Code, as he demonstrates how this tool turns anyone into a real-time research expert. By pulling trending data from X, Reddit, and the web, Last 30 Days supercharges Claude Code prompts with current intelligence. Matt walks through live demos, from discovering popular rap songs to generating cold emails to building a Moltbot competitor, showing how non-engineers can ship products using AI tools with almost no coding background.
Timestamps
00:00 – Intro
01:39 – What Is "Last 30 Days"
03:29 – Live Demo: Most Popular Rap Songs
04:47 – Cold Email Frameworks Demo
07:04 – Growing an X Following Using Recent Data
07:49 – Researching Moltbot to Build a Competitor
08:26 – Best Practices for Last 30 days
09:26 – Growing an X Following Using Recent Data Results
11:17 – Best Practices for Webdesign Research
13:44 – Building an Enterprise Moltbot Clone Live
17:43 – Generating Figma Prompts and Nano Banana Images
21:54 – Advice for Non-Engineers Getting Started with Claude Code
Links Mentioned:
Last 30 Days Skill: https://startup-ideas-pod.link/last30days
Key Points
* Last 30 Days searches X, Reddit, and the web for content from the past month, creating highly optimized prompts for Claude Code.
* The tool requires Claude Code access, an OpenAI API key (for Reddit data), and an XAI key (for X/Twitter access).
* Matt demonstrates using minimal prompts to generate cold email frameworks, research trending topics, and kickstart new product builds.
* Compound Engineering serves as a planning tool to turn research into structured project roadmaps.
* Non-engineers can ship functional products by combining Claude Code with ChatGPT for troubleshooting errors via screenshots.
Numbered Section Summaries
1. What Is "Last 30 Days"Matt explains the core problem: AI and online conversations move too fast to track manually. Last 30 Days solves this by aggregating real-time data from X, Reddit, and web searches into a single Claude Code skill, letting users become instant experts on any topic.
2. API Setup and How It WorksThe skill pulls together multiple API connections—OpenAI for Reddit access, XAI for X/Twitter search, plus standard web search. Matt notes he is exploring direct Reddit API integration to improve results further.
3. Cold Email Frameworks DemoMatt prompts the tool to research high-performing cold email techniques from the last 30 days, then uses that research to generate personalized outreach emails. The tool surfaces frameworks like AIDA, Three Ps (Praise-Picture-Push), and Intention Data Triggers—all without Matt reading the underlying research.
4. From Research to Product BuildThe episode moves into building a Moltbot competitor. Matt shows how he uses Last 30 Days to research Moltbot use cases, then feeds that intelligence into Compound Engineering to plan an enterprise-grade product from scratch.
5. Trending Web Design for Landing PagesMatt queries what website designs are getting the most love on X right now. Results include the Shopify "Winner Edition" page and a praised YC landing page. He then prompts Claude Code to generate a Figma-ready design spec for a SaaS productivity app.
6. Building Without Engineering SkillsMatt emphasizes he has not shipped production code since high school. His workflow involves running Claude Code in the terminal, taking screenshots of errors, pasting them into ChatGPT for debugging help, and iterating. The biggest unlock: learning to paste screenshots with Control+V instead of Command+V.
7. Getting Started RecommendationsMatt advises signing up for Claude Code's $20 plan, using ChatGPT as a troubleshooting copilot, and experimenting with skills like Last 30 Days and Compound Engineering. Trial and error, combined with lots of terminal windows, is the path forward.
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com/
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/
FIND ME ON SOCIAL
X/Twitter: https://twitter.com/gregisenberg
Instagram: https://instagram.com/gregisenberg/
LinkedIn: https://www.linkedin.com/in/gisenberg/
Matt Van Horn
X/Twitter: https://x.com/mvanhorn
Screensharing Kevin Rose's AI Workflow/New App
I sit down with Kevin Rose for a live screen share where he walks me through “Nylon,” a personal Techmeme-style news engine he vibe-coded to track AI and tech stories. He breaks down how he pulls from RSS, enriches articles with tools like iFramely, Firecrawl, and Gemini, then generates TLDRs and vector embeddings to cluster stories with real nuance. We dig into his “gravity engine,” an editorial scoring system that ranks stories by impact, novelty, and builder relevance. The bigger theme is simple: with today’s models and workflows, a solo builder can ship wild, high-leverage software fast, then refine by cutting features down to the few that matter.
Timestamps:
00:00 – Intro And What Kevin Plans To Demo
03:10 – Techmeme Breakdown And How Signal Gets Ranked
06:44 – RSS Sources, Ingestion, And The Article Pipeline
11:23 – Winner Selection: RSS vs iFramely vs Firecrawl vs Gemini
13:01 – Why iFramely And Firecrawl, Explained
16:37 – TLDRs, Vector Embeddings, And Why They Beat Keyword Search
19:49 – Task Orchestration With trigger.dev And Retries
24:58 – Clusters: Expanding With Search APIs And Discovery
27:07 – The Gravity Engine: Editorial Scoring Rubric
31:31 – Product Management: Gut, Iteration, And Cutting Features
34:53 – Synthetic Audiences And Personal Software
37:03 – What “Success” Looks Like
43:52 – Retention Mechanics And The Idea Browser Example
47:19 – “Blurred Presence” Blog Project From A 12-Year-Old Idea
50:34 – This the best time to build
51:55 – How To Work With Kevin, DIGG Reboot, And VC Today
Keypoints
* I watch Kevin’s end-to-end pipeline for turning messy RSS links into clean, enriched, clustered stories.
* Kevin uses a “winner” judge to pick the best source of truth per field (summary, main content, metadata).
* Vector embeddings plus clustering unlock meaning-level grouping that keyword search misses.
* trigger.dev gives durable background jobs, retries, and observability for a solo builder workflow.
* His “gravity engine” acts like an editorial layer that prioritizes novelty, impact, and builder relevance.
Numbered Section Summaries
1. Nylon: A Solo “Techmeme-Level” Build
Kevin shows me Nylon, a nights-and-weekends project built to answer a single question: can one person assemble a Techmeme-quality feed tailored to AI velocity. He frames it as personal curiosity first, product second.
2. From Sources To Articles: The Ingestion Spine
He pulls from dozens of sources (RSS, Reddit, major tech outlets) and stores everything in Postgres. Each article flows through a status pipeline that tracks enrichment steps and readiness.
3. Enrichment Stack: iFramely, Firecrawl, Gemini
Kevin uses iFramely for rich link metadata cards and Firecrawl for deeper crawling, then leans on Gemini as a last-resort “grounded” fill when crawls fail or quality looks weak. A judge picks the “winner” per field so the database keeps the best available representation.
4. TLDRs And Embeddings: Turning Text Into Math
He generates a purposely rich TLDR for vector embeddings, stores vectors in Postgres, and uses them to compare meaning across stories. Kevin highlights how embeddings capture nuance like role reversal in similar headlines.
5. Durability With trigger.dev
Instead of fragile cron glue, he runs TypeScript tasks as orchestrated jobs with retries, traces, and monitoring hooks. That keeps the pipeline resilient while he develops locally and scales later.
6. Clustering And Expansion: From Three Signals To The Whole Web
Once a topic crosses a threshold, he expands coverage via search APIs (Brave, Tavily) to pull in relevant articles outside the RSS set. The cluster page becomes a living dossier with timing, sources, and similarity distances.
7. The Gravity Engine: Editorial Judgment As Code
Kevin layers an “editorial vote” system over clusters, scoring dimensions like industry impact, novelty, technical depth, viral potential, and PR-fluff risk. The point is prioritization: a small list of truly worthy items for a specific person.
8. The Meta Lesson: Personal Software And Play As Strategy
We zoom out to vibe coding, distribution mechanics, and how “for fun” projects sometimes become the biggest businesses. Kevin shares ways to connect with him through DIG and his Venice studio, plus his view on when capital makes sense.
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com/
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/
FIND ME ON SOCIAL
X/Twitter: https://twitter.com/gregisenberg
Instagram: https://instagram.com/gregisenberg/
LinkedIn: https://www.linkedin.com/in/gisenberg/
Kevin Rose: x: https://x.com/kevinrose
personal website: https://www.kevinrose.com/about
Youtube: https://www.youtube.com/@KevinRose
How I Use Clawdbot to Run My Business and Life 24/7
I sit down with Kitze to unpack how he uses Clawdbot (now known as OpenClaw) as a personal OS that runs across Discord, Telegram, and other chat surfaces. We walk through his one-gateway setup, persona-based bots, and the way he structures channels and threads to manage customers, home logistics, and engineering work. We also dig into the self-learning angle: giving an agent shell and network access so it can discover devices, build dashboards, and automate workflows end to end. We close with a lightning round of concrete examples you can adapt across your own life and business.
Timestamps
00:00 – Intro
01:42 – The Personal OS Idea
04:20 – Persona Design for Clawdbot
06:00 – Discord As The Control Center
08:23 – Self-Learning Through Shell And Network Access
09:23 – Discord Threads And Agent Workflows
10:13 – Platform Choices: Telegram, Discord, Slack
11:47 – Security Advice and Best Practices
15:07 – How Agents Change Work
18:00 – Lightning Round of Clawdbot use cases
27:09 – Spellbook: Variable-Driven Prompt Templates
29:15 – Closing Thoughts
Key Points
* I treat Clawdbot like a gateway that routes the same core agent into many persona shells for distinct jobs
* I keep work organized via Discord sections, channels, and threads so agent output stays searchable
* I lean on shell and network access to let the agent discover devices and ship automations that span apps, NAS, and smart home
* I use stronger models for high-trust surfaces like email and credentials, and I scope access gradually
* I prototype interfaces that turn prompts into parameterized forms so workflows stay reusable and fast
Numbered Section Summaries
1. The Personal OS Premise
I frame the episode around practical Clawdbot use cases and bring Kitze in to show his day-to-day setup. We move quickly from concept to real workflows you can copy.
2. One Gateway, Many Personas
Kitze describes running a single Clawdbot gateway that connects to multiple front ends like Discord and Telegram. Each persona carries its own skills, tone, and scope so conversations stay focused.
3. Persona Playbooks For Real Life
We go through examples like Guilfoyle for engineering, Kevin for accounting, Dr Cox for health analysis, and Darlene for home management. The separation routes tasks to the right context and keeps each agent aligned to its job.
4. Discord As A Control Panel
I ask why Discord beats a single chat thread, and Kitze shows how sections and channels create a map of work. Threads function as temporary tasks or skills in progress, while channels serve as durable hubs.
5. Customer Support Through Threads And Sub-Agents
Kitze describes scraping or fetching signals from email and DMs, then spawning customer threads with summaries and action plans. A main channel stays the command layer while sub-agents process individual customers in parallel.
6. Self-Learning Through Shell And Network Access
We talk through how an agent can find printers, cast dashboards, and discover devices through Home Assistant and the local network. Kitze shares examples like printing ASCII art, casting screens, and generating dashboards for TVs and e-ink displays.
7. High-Leverage Use Cases: From Captcha To Wearables
We run a rapid tour: AntiCaptcha as a backstop for automations, a programmable ring as a voice-input interface, and TRMNL as a life OS display surface. We also cover home presence sensors and context injection so the assistant gets room-level state.
8. Prompt Products And The Wrap
Kitze shows Spellbook, a prompt organizer that turns templates into variable-driven forms users fill out. I wrap by pointing people toward Kitze’s work and his community for deeper tinkering.
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com/
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/
FIND ME ON SOCIAL
X/Twitter: https://twitter.com/gregisenberg
Instagram: https://instagram.com/gregisenberg/
LinkedIn: https://www.linkedin.com/in/gisenberg/
FIND KITZE ON SOCIAL
X/Twitter: https://x.com/thekitze
Tinkerer Club: https://tinkerer.club/
Personal Website: https://www.kitze.io/
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4 Skills I’m Learning that AI Can’t Replace (backed by data)
4 Skills I’m Learning that AI Can’t Replace (backed by data)
✅ Google’s #AI Course on Coursera: https://imp.i384100.net/YVD5vq
Knowing how to "use AI" is now table stakes (unfortunately) 😅. This video covers 4 skills that will help you get ahead, and each skill is backed by research from Wharton, Harvard, BCG, and MIT.
You'll learn a mental model for deciding when to delegate, collaborate, or go manual with AI; how to design workflows that compound as AI improves; why storytelling remains your strongest moat; and how to keep your critical thinking sharp instead of letting it atrophy.
*TIMESTAMPS*
00:00 4 Skills AI Can’t Replace
00:24 Skill #1: The Cockpit Rule
03:09 Google’s AI Certificate
04:04 Skill #2: Build the Rails
06:04 Skill #3: The Storytelling Moat
09:04 Skill #4: Manual Override
10:58 So is AI making us dumber?
*RESOURCES MENTIONED*
AI Course: https://systemsacademy.ai/?utm_source=youtube&utm_medium=video&utm_campaign=199
My Essential Power Prompts: https://www.notion.so/templates/essential-power-prompts-jeff-su
Philipp Humm on Storytelling: https://www.youtube.com/watch?v=hNuAv-42jzY
Vinh Giang on Storytelling: https://www.youtube.com/watch?v=5HfeNDleTS4
*BUILD A POWERFUL WORKFLOW*
📈 The Workspace Academy - https://academy.jeffsu.org/workspace-academy?utm_source=youtube&utm_medium=video&utm_campaign=199
✍️ My Notion Command Center - https://www.pressplay.cc/link/s/DE1C4C50
*BE MY FRIEND:*
📧 Subscribe to my newsletter - https://www.jeffsu.org/newsletter/?utm_source=youtube&utm_medium=video&utm_campaign=description
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🤝 LinkedIn - https://www.linkedin.com/in/jsu05/
*MY FAVORITE GEAR*
🎬 My YouTube Gear - https://www.jeffsu.org/yt-gear/
🎒 Everyday Carry - https://www.jeffsu.org/my-edc/
#chatgpt #claude
if you’re overwhelmed by AI tools, watch this
AI Systems Course: https://academy.jeffsu.org/ai-systems-academy?utm_source=youtube&utm_medium=video&utm_campaign=198
After three years of testing AI tools daily, I've narrowed down the one thing each tool does better than every alternative.
This is Part 2 of the AI Superpower Series, covering Productivity AI and Creative AI. You'll see exactly when to use Google Workspace's #Gemini over standalone chatbots, what Notion AI can actually do inside your workspace, and how #Midjourney, Nano Banana Pro, and ChatGPT's image model each serve different creative needs.
Every recommendation includes a clear rule of thumb so you know which tool to reach for and when.
*TIMESTAMPS*
00:00 if you’re overwhelmed by AI tools, watch this
00:59 Google Workspace (Gemini)
02:53 Notion AI
05:16 Wispr Flow AI
06:38 Midjourney
08:28 Google Nano Banana Pro
10:22 ChatGPT Image
11:52 Google Flow
13:00 Closing Thoughts
*RESOURCES MENTIONED*
Wispr Flow: https://wisprflow.ai/r?JEFF306
The full blogpost: https://www.jeffsu.org/if-youre-overwhelmed-by-ai-tools-read-this
Part 1 (Everyday + Specialist AI): https://youtu.be/htZRCE2GgIs
Notion video on Relations feature: https://www.youtube.com/watch?v=4Fu23_l9F_o
✍️ My Notion Command Center - https://www.pressplay.cc/link/s/DE1C4C50
*BUILD A POWERFUL WORKFLOW*
📈 The Workspace Academy - https://academy.jeffsu.org/workspace-academy?utm_source=youtube&utm_medium=video&utm_campaign=198
*BE MY FRIEND:*
📧 Subscribe to my newsletter - https://www.jeffsu.org/newsletter/?utm_source=youtube&utm_medium=video&utm_campaign=description
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🤝 LinkedIn - https://www.linkedin.com/in/jsu05/
*MY FAVORITE GEAR*
🎬 My YouTube Gear - https://www.jeffsu.org/yt-gear/
🎒 Everyday Carry - https://www.jeffsu.org/my-edc/
#ChatGPT
The 10% of AI Tools that Drive 90% of My Results
⚡️ HubSpot’s Free Guide: https://clickhubspot.com/5c4cca
Every AI tool excels at one thing. #ChatGPT follows complex instructions without dropping steps. #Gemini handles video, audio, and massive files other models can't process. #Claude produces working code and polished copy on the first try. Perplexity fetches accurate information in seconds. NotebookLM answers only from your sources, so it can't hallucinate.
This video breaks down when to use each tool based on three years of daily use, first at Google and now as a creator. Part 1 covers Everyday AI and Specialist AI. Part 2 covers Creative and Productivity AI.
*TIMESTAMPS*
00:00 The AI Tools that Drive 90% of My Results
00:32 Everyday AI
00:47 ChatGPT
02:46 Google Gemini
05:15 Claude
07:45 Recap: Everyday AI
08:14 Specialist AI
08:47 Perplexity
10:20 NotebookLM
*RESOURCES MENTIONED*
My Essential Power Prompts template: https://www.notion.com/templates/essential-power-prompts-jeff-su
Google search operators video: https://youtu.be/DIuo_QL4sAQ
Blogpost: https://www.jeffsu.org/10-ai-tools-drive-most-results/
*BUILD A POWERFUL WORKFLOW*
📈 The Workspace Academy - https://academy.jeffsu.org/workspace-academy?utm_source=youtube&utm_medium=video&utm_campaign=XXX
✍️ My Notion Command Center - https://www.pressplay.cc/link/s/DE1C4C50
*BE MY FRIEND:*
📧 Subscribe to my newsletter - https://www.jeffsu.org/newsletter/?utm_source=youtube&utm_medium=video&utm_campaign=description
📸 Instagram - https://instagram.com/j.sushie
🤝 LinkedIn - https://www.linkedin.com/in/jsu05/
*MY FAVORITE GEAR*
🎬 My YouTube Gear - https://www.jeffsu.org/yt-gear/
🎒 Everyday Carry - https://www.jeffsu.org/my-edc/
#ai
Top 6 AI Trends That Will Define 2026 (backed by data)
Most #AI predictions are speculation. This video covers six trends backed by data from McKinsey, Stanford, #OpenAI, and Epoch AI, with specific steps you can take for each one.
You'll learn why the "best model" debate no longer matters, how AI workflows are outperforming autonomous agents in real enterprise settings, and why your file management system now directly impacts how useful AI can be for your work. Each trend includes concrete examples and a clear action item.
*TIMESTAMPS*
00:00 Top 6 AI Trends That Will Define 2026
00:24 Trend 1: Models Won’t Matter Much Anymore
02:55 Trend 2: Year of AI Workflows, NOT AI Agents
05:33 Trend 3: The End of the Technical Divide
07:13 Trend 4: The Rise of Context Engineering
09:12 Trend 5: Advertising Comes to Chatbots
10:46 Trend 6: From Chatbots to Robots
*RESOURCES MENTIONED*
Sources mentioned: https://www.jeffsu.org/6-ai-trends-that-actually-matter-for-your-work-in-2026?utm_source=youtube&utm_medium=video&utm_campaign=196
AI Course Waitlist: https://academy.jeffsu.org/ai-systems-academy?utm_source=youtube&utm_medium=video&utm_campaign=196
Free AI Toolkit: https://academy.jeffsu.org/ai-toolkit?utm_source=youtube&utm_medium=video&utm_campaign=196
Essential Power Prompts: https://www.notion.com/templates/essential-power-prompts-jeff-su
*BUILD A POWERFUL WORKFLOW*
📈 The Workspace Academy - https://academy.jeffsu.org/workspace-academy?utm_source=youtube&utm_medium=video&utm_campaign=XXX
✍️ My Notion Command Center - https://www.pressplay.cc/link/s/DE1C4C50
*BE MY FRIEND:*
📧 Subscribe to my newsletter - https://www.jeffsu.org/newsletter/?utm_source=youtube&utm_medium=video&utm_campaign=description
📸 Instagram - https://instagram.com/j.sushie
🤝 LinkedIn - https://www.linkedin.com/in/jsu05/
*MY FAVORITE GEAR*
🎬 My YouTube Gear - https://www.jeffsu.org/yt-gear/
🎒 Everyday Carry - https://www.jeffsu.org/my-edc/
#2026
Master Gemini 3.0 for Work in 12 Minutes (2026)
✅ Get 40% off 3 months of Coursera Plus: https://imp.i384100.net/c/2464514/3102764/14726
The sheer volume of updates in #Gemini 3.0 is overwhelming, but not every feature deserves your attention. After a month of testing the model with real-world workflows, I have narrowed down the five specific changes that actually impact professional productivity.
This breakdown covers how to use improved multimodal understanding to turn video into documentation, leveraging generative interfaces for dynamic data analysis, and why context engineering is replacing prompt engineering for reliable outputs.
*TIMESTAMPS*
00:00 How to use Google Gemini in 2026
00:21 Improved Multimodal Understanding
02:09 Better Use of Large Documents
04:28 Enhanced Workspace Search
07:03 Generative Interfaces
10:11 Better Intent Understanding
12:00 Bonus Tip!
*RESOURCES MENTIONED*
💪🏻 Google’s new People Management Course: https://imp.i384100.net/YR522K
🤖 Essential Power Prompts: https://www.notion.com/templates/essential-power-prompts-jeff-su?assetsVersion=23.13.20251215.0504
*BUILD A POWERFUL WORKFLOW*
📈 The Workspace Academy - https://academy.jeffsu.org/workspace-academy?utm_source=youtube&utm_medium=video&utm_campaign=XXX
✍️ My Notion Command Center - https://www.pressplay.cc/link/s/DE1C4C50
*BE MY FRIEND:*
📧 Subscribe to my newsletter - https://www.jeffsu.org/newsletter/?utm_source=youtube&utm_medium=video&utm_campaign=description
📸 Instagram - https://instagram.com/j.sushie
🤝 LinkedIn - https://www.linkedin.com/in/jsu05/
*MY FAVORITE GEAR*
🎬 My YouTube Gear - https://www.jeffsu.org/yt-gear/
🎒 Everyday Carry - https://www.jeffsu.org/my-edc/
#ai #google
Give Me 9 Minutes, I'll Make You AI-Native
In this video I walk you through three practical habits and one bonus system that turn tools like #ChatGPT, #Gemini, and Claude into a real AI-native workflow. You will learn how to leave AI breadcrumbs, build an AI swipe file, plan projects AI-first, and keep a living prompts database so you save time, improve quality, and stop rebuilding the same work from scratch.
*TIMESTAMPS*
00:00 How to become AI-Native
00:37 Leave AI Breadcrumbs
03:13 Build an AI Swipe File System
05:20 AI-First Task Planning
08:01 Bonus AI-Native Habit
*RESOURCES MENTIONED*
AI Course Waitlist: https://academy.jeffsu.org/ai-systems-academy?utm_source=youtube&utm_medium=video&utm_campaign=194
Essential Prompts Collection: https://www.notion.so/templates/essential-power-prompts-jeff-su
*BUILD A POWERFUL WORKFLOW*
📈 The Workspace Academy - https://academy.jeffsu.org/workspace-academy?utm_source=youtube&utm_medium=video&utm_campaign=194
✍️ My Notion Command Center - https://www.pressplay.cc/link/s/DE1C4C50
*BE MY FRIEND:*
📧 Subscribe to my newsletter - https://www.jeffsu.org/newsletter/?utm_source=youtube&utm_medium=video&utm_campaign=description
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🤝 LinkedIn - https://www.linkedin.com/in/jsu05/
*MY FAVORITE GEAR*
🎬 My YouTube Gear - https://www.jeffsu.org/yt-gear/
🎒 Everyday Carry - https://www.jeffsu.org/my-edc/
#ainative
Master 80% of Notion with this ONE Feature
🧠 Build Your Own Command Center: https://www.pressplay.cc/link/s/9BBC0F4D
Most #Notion users keep their databases isolated, which means tasks, notes, and projects get jumbled together in confusing ways. The Relations feature changes that by connecting your databases so only relevant information shows up when you need it. This is the foundation of building powerful Notion #systems, and it takes about 2 minutes to learn.
In this video, you'll see exactly why typical Notion setups fall apart, how to connect databases using Relations, and how to build self-filtering #templates that automatically organize new projects. I'll walk through manual and automated approaches with a working example you can duplicate.
*TIMESTAMPS*
00:00 The Only Notion Feature You Need
00:06 How Beginners Use Notion
02:21 The Correct Way to Use Notion
03:51 Connect Databases Using Relations
05:33 Our New and Improved Notion Workflow
10:04 Putting It All Together
12:54 Taking It a Step Further
*RESOURCES MENTIONED*
Notion template (duplicate and follow along): https://www.jeffsu.org/master-80-of-notion-with-this-one-feature
The College Essay Playbook (free resource for students): https://themaychen.substack.com/?utm_source=youtube&utm_medium=video&utm_campaign=jeffsu
Command Center full course: https://www.pressplay.cc/link/s/9BBC0F4D
*BUILD A POWERFUL WORKFLOW*
📈 The Workspace Academy - https://academy.jeffsu.org/workspace-academy?utm_source=youtube&utm_medium=video&utm_campaign=193
✍️ My Notion Command Center - https://www.pressplay.cc/link/s/DE1C4C50
*BE MY FRIEND:*
📧 Subscribe to my newsletter - https://www.jeffsu.org/newsletter/?utm_source=youtube&utm_medium=video&utm_campaign=description
📸 Instagram - https://instagram.com/j.sushie
🤝 LinkedIn - https://www.linkedin.com/in/jsu05/
*MY FAVORITE GEAR*
🎬 My YouTube Gear - https://www.jeffsu.org/yt-gear/
🎒 Everyday Carry - https://www.jeffsu.org/my-edc/
#productivity
4 Next-Level ChatGPT Techniques (Save 15+ Hours Weekly)
Grab HubSpot’s #ChatGPT ebook: https://clickhubspot.com/4f1519
Most people waste hours going back and forth with ChatGPT, refining prompts until they finally get decent results. This video shows you four techniques that change that completely.
You'll learn how to reverse-engineer your best prompts, amplify one piece of content into multiple formats, use AI to critique its own work, and force ChatGPT to outline its reasoning before executing. Each technique is demonstrated with real examples you can apply immediately.
These methods have cut my AI workflow time in half, and they work across any role or industry.
*TIMESTAMPS*
00:00 Prompt Reversal Technique
02:57 Free ChatGPT Resource
03:35 The 5-Minute Amplifer
06:06 The Red Team Technique
08:09 Blueprint Scaffolding
*RESOURCES MENTIONED*
Join the waitlist for my #AI Course: https://academy.jeffsu.org/ai-systems-academy?utm_source=youtube&utm_medium=video&utm_campaign=192
Written blogpost: https://www.jeffsu.org/4-chatgpt-hacks-that-cut-my-workload-in-half?utm_source=youtube&utm_medium=video&utm_campaign=192
*BUILD A POWERFUL WORKFLOW*
📈 The Workspace Academy - https://academy.jeffsu.org/workspace-academy?utm_source=youtube&utm_medium=video&utm_campaign=192
✍️ My Notion Command Center - https://www.pressplay.cc/link/s/DE1C4C50
*BE MY FRIEND:*
📧 Subscribe to my newsletter - https://www.jeffsu.org/newsletter/?utm_source=youtube&utm_medium=video&utm_campaign=description
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🤝 LinkedIn - https://www.linkedin.com/in/jsu05/
*MY FAVORITE GEAR*
🎬 My YouTube Gear - https://www.jeffsu.org/yt-gear/
🎒 Everyday Carry - https://www.jeffsu.org/my-edc/
#productivity
Steal the Productivity System I Taught to 6,642 Googlers
📑 My blogpost on the CORE #workflow: https://www.jeffsu.org/i-taught-6-642-googlers-this-productivity-system
I'm sharing the exact #productivity system I taught to over 6,600 Google employees over nine years.
The CORE workflow handles all four types of workplace information through a simple four-step process: Capture everything immediately, Organize with minimal friction, Review during scheduled sessions, and Engage by blocking time to execute.
Trust me when I tell you it works with any tool you already use and becomes automatic within two weeks. No more relying on memory or willpower alone!
*TIMESTAMPS*
00:00 The Productivity System I Taught at Google
00:28 The Basics
01:05 The CORE Workflow in Action
02:50 Why This Works
04:10 Breaking Down the CORE Workflow
06:53 Recap of My Productivity System
*RESOURCES MENTIONED*
📧 Subscribe to my newsletter - https://www.jeffsu.org/newsletter/?utm_source=youtube&utm_medium=video&utm_campaign=description
My favorite prompts & templates: https://www.jeffsu.org/links/?utm_source=youtube&utm_medium=video&utm_campaign=191
📈 The Workspace Academy - https://academy.jeffsu.org/workspace-academy?utm_source=youtube&utm_medium=video&utm_campaign=191
*BUILD A POWERFUL WORKFLOW*
📈 The Workspace Academy - https://academy.jeffsu.org/workspace-academy?utm_source=youtube&utm_medium=video&utm_campaign=191
✍️ My Notion Command Center - https://www.pressplay.cc/link/s/DE1C4C50
*BE MY FRIEND:*
📧 Subscribe to my newsletter - https://www.jeffsu.org/newsletter/?utm_source=youtube&utm_medium=video&utm_campaign=description
📸 Instagram - https://instagram.com/j.sushie
🤝 LinkedIn - https://www.linkedin.com/in/jsu05/
*MY FAVORITE GEAR*
🎬 My YouTube Gear - https://www.jeffsu.org/yt-gear/
🎒 Everyday Carry - https://www.jeffsu.org/my-edc/
#google
The REALITY of AI Video in 2025 (it’s not what you think)
📈 Grab my AI Toolkit - https://academy.jeffsu.org/ai-toolkit?utm_source=youtube&utm_medium=video&utm_campaign=190
Forget the hype about #AI replacing Hollywood overnight. The reality is that although AI video tools are incredibly powerful, there's no magic button that creates entire videos with one prompt. The real challenge is consistency: getting your characters, voices, and scenes to stay the same across multiple clips.
In this video, I walk through the exact 4-step workflow I use to create multi-scene AI videos with consistent characters. We'll use Google Whisk, Flow, a custom Gemini Gem, and ElevenLabs to build a complete skit from scratch.
No BS, just the actual process.
*TIMESTAMPS*
00:00 The Reality of the AI Video Landscape
00:25 Bottom Line Up Front
04:15 Step 1
06:34 Step 2
08:53 Step 3
12:43 Step 4
14:56 Final Thoughts
16:09 Sora 2 Rollout and Implications
*RESOURCES MENTIONED*
Prompts & Templates: https://www.jeffsu.org/the-reality-of-ai-video-a-no-bs-guide
Other free resources: https://www.jeffsu.org/links/?utm_source=youtube&utm_medium=video&utm_campaign=190
*BUILD A POWERFUL WORKFLOW*
📈 The Workspace Academy - https://academy.jeffsu.org/workspace-academy?utm_source=youtube&utm_medium=video&utm_campaign=190
✍️ My Notion Command Center - https://www.pressplay.cc/link/s/DE1C4C50
*BE MY FRIEND:*
📧 Subscribe to my newsletter - https://www.jeffsu.org/newsletter/?utm_source=youtube&utm_medium=video&utm_campaign=description
📸 Instagram - https://instagram.com/j.sushie
🤝 LinkedIn - https://www.linkedin.com/in/jsu05/
*MY FAVORITE GEAR*
🎬 My YouTube Gear - https://www.jeffsu.org/yt-gear/
🎒 Everyday Carry - https://www.jeffsu.org/my-edc/
#googlegemini #googleveo
The 30-second fix for #AI on mobile
AI feels like extra work when it should be effortless.
❌ Your phone's share sheet is the problem. By default, AI apps are buried at the bottom.
✅ Move ChatGPT next to AirDrop on iPhone or pin it to the top on Android.
Activate ChatGPT with iPhone’s Action Button
One iPhone button made me actually use ChatGPT daily.
The action button launches ChatGPT voice dictation instantly, which means almost no decision fatigue.
I find myself using AI for quick tasks I'd normally skip because it's now effortless.
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Claude Plugins Give You Superpowers, Here's How to Unlock Them
Claude Plugins Give You Superpowers, Here's How to Unlock Them
⚡ Try Recall free at https://rickmulready.com/recall-25 or use code Rick25 for 25% off the unlimited version.
ABOUT THIS VIDEO:
Anthropic’s new Plugins let you turn Claude Cowork (or Claude Code) into a specialist for specific roles like Sales, Legal, Finance, Marketing, Productivity, etc… with a single install.
No code or setup needed. You install a Plugin and Claude already knows your workflow, connects to your tools, and handles tasks without you re-explaining anything.
So In this video, I'm going to explain exactly what Claude’s new plugins are, how they're different from Claude Skills, walk you through 7 of the official plugins Anthropic just released, and show you real business use cases so you can start using this today.
🏆 Join my AI Playbook® community—in just one week, discover how to trim 5 hours off your workweek & unlock $500–$1K in new monthly revenue ➡️ https://rickmulready.com/skool61
CHAPTERS:
0:00–1:26: What are Anthropic's new Plugins (and why they matter)
1:26–2:27: Plugins vs Claude Skills
2:27–3:25: How to install Plugins
3:25–5:13: Plugin #1: Turn Claude into your Customer Service team
5:13–6:16: The “one‑click” knowledge vault that saves you hours
6:16–7:49: Plugin #2: Your AI marketing department on demand
7:49–10:27: Plugin #3: Productivity -- your VA & Project Manager at the ready
10:27–11:33: Plugin #4: Sales -- switch on “supercharge mode” with your CRM
11:33–13:55: Plugin #5: How to build your own custom Plugin
13:55–14:54: Plugin #6: Legal the one everyone panicked about (and what it actually does)
14:54–15:24: Plugin #7: Product Management -- full PM workflow in a single install
15:24–16:10: Virtual employees are now plug‑and‑play
WHO AM I?
Founded and after 12M+ downloads, sold The Art of Online Business podcast in 2023.
Founder of The AI Playbook community and The AI Playbook newsletter.
I started my online business 12 years ago and for the last decade I’ve been helping online businesses grow and scale while working fewer hours.
Ever since ChatGPT went mainstream I’ve been obsessed with learning, implementing, and teaching AI to online businesses so you can boost productivity and make more money.
On this channel, I simplify AI and share everything I know, (and am learning along the way), about how you can leverage AI to work less and profit more.
The Only 8 AI Tools You Need in 2026
⚡ Try Recall free at https://rickmulready.com/recall-25 or use code Rick25 for 25% off the unlimited version.
ABOUT THIS VIDEO:
I've tested hundreds of AI tools in the last 3 years, and here's what I learned: you only need to be using a handful of them.
In this video, I'm showing you exactly which tool to use for the most common business use cases so you can stop feeling overwhelmed and start getting work done.
The use cases I take you through are listed below in the Chapters.
🏆 Join my AI Playbook® community—in just one week, discover how to trim 5 hours off your workweek & unlock $500–$1K in new monthly revenue ➡️ https://rickmulready.com/skool82
CHAPTERS:
0:00–0:30: The 8 AI tools that replace your bloated tech stack
0:30–2:06: The Go-To Everyday AI Model
2:06–3:19: Personal Knowledge Base w/ AI
3:19–5:19: Note-Taking
5:19–7:24: Fast and Deep Reseach
7:24–8:30: Creating a Content Machine
8:30–10:11: Beautiful Presentations and Pitch Decks
10:11–11:05: AI agents, Workflows and AI Employees
11:05–12:31: AI Video Editing
🔗 LINKS SHARED
1. Claude: https://claude.ai/new
2. Recall: https://www.getrecall.ai/ Try for free or use code RICK25 for 25% off Unlimited
2. Fathom: https://fathom.video/
3. Granola AI: https://www.granola.ai/
4. NotebookLM: https://notebooklm.google/
5. Google Gemini: https://gemini.google.com/app
7. Lindy AI: https://rickmulready.com/lindy (affiliate link)
8. Descript: https://rickmulready.com/descript (affiliate link)
*Note: For the tools with an affiliate link, if you decide to sign up I may get a small commission from the company which helps support my creating videos here on the channel. Thanks, in advance.
WHO AM I?
Founded and after 12M+ downloads, sold The Art of Online Business podcast in 2023.
Founder of The AI Playbook community and The AI Playbook newsletter.
I started my online business 12 years ago and for the last decade I’ve been helping online businesses grow and scale while working fewer hours.
Ever since ChatGPT went mainstream I’ve been obsessed with learning, implementing, and teaching AI to online businesses so you can boost productivity and make more money.
On this channel, I simplify AI and share everything I know, (and am learning along the way), about how you can leverage AI to work less and profit more.
5 Claude Cowork Use Cases You Haven't Seen Before
⚡ Try Zapier MCP today and access over 8,000 apps (no coding required): https://bit.ly/45BFVYF
ABOUT THIS VIDEO:
Claude just launched Cowork a few weeks ago, But most people still don’t realize how powerful a tool it really is.
With Cowork, you give it a task, it builds a plan, and it executes for minutes or even hours while you're doing other things.
Today, I'm walking you through 5 mind-blowing use cases of Claude Cowork (you’ve not seen before) you can steal and use in your business today.
📥 Download the Claude Cowork Prompts I Used Here: https://rickmulready.com/yt-claude-cowork-prompts
CHAPTERS:
0:00–0:29: Meet Claude Cowork: your long‑running, task‑first AI operator
0:29–2:17: How Cowork executes complex tasks for you
2:17–6:17: Use Case #1: Interactive Ideal Customer Dashboard in 5 mins + Curated Marketing Assets
6:19–8:50: Use Case #2: Agentic YouTube Growth Strategist + Content Creator
8:50–11:19: Use Case #3: Create a Big Data Analyst (that writes its own Python code)
11:19–14:25: Use Case #4: How to Build a Self-Updating Content Flywheel With Persistent Memory
14:25–16:09: Use Case #5: How to Create a Digital Janitor for Your Computer Files
16:09–16:49: Why AI orchestration (not prompts) is the next unfair advantage
WHO AM I?
Founded and after 12M+ downloads, sold The Art of Online Business podcast in 2023.
Founder of The AI Playbook community and The AI Playbook newsletter.
I started my online business 12 years ago and for the last decade I’ve been helping online businesses grow and scale while working fewer hours.
Ever since ChatGPT went mainstream I’ve been obsessed with learning, implementing, and teaching AI to online businesses so you can boost productivity and make more money.
On this channel, I simplify AI and share everything I know, (and am learning along the way), about how you can leverage AI to work less and profit more.
Don’t Make AI Automations Before You Watch This
*Try Zapier MCP today and access over 8,000 apps (no coding required): https://bit.ly/4jDSGHH
ABOUT THIS VIDEO:
If you're like most business owners right now, you're stuck trying to figure out what work should go to AI and what should stay with you or your team.
The problem isn't that you don't know how to build AI automations -- there's tutorials everywhere for that. The real problem is: most of you are building automations you shouldn't be building at all.
So today I'm breaking down my exact decision-making framework for when to automate and when not to. Because without this framework, you'll keep wasting weeks building automations that never get used.
🏆 Join my AI Playbook® community—in just one week, discover how to trim 5 hours off your workweek & unlock $500–$1K in new monthly revenue ➡️ https://rickmulready.com/skool80
CHAPTERS:
0:00–0:38: Why most AI automations you’re building are a waste of time
0:38–2:08: The one strategic question to ask before you automate anything
2:08–5:04: My framework for what what you should (and shouldn’t) automate
5:04–6:06: Turning AI into an operator with Zapier MCP + Claude
6:06–7:14: What you should never hand over to AI
7:14–8:26: Fixing Jane’s podcast workflow to save 260+ hours a year
8:26–9:18: 1‑week action plan to uncover your highest‑ROI automations
WHO AM I?
Founded and after 12M+ downloads, sold The Art of Online Business podcast in 2023.
Founder of The AI Playbook community and The AI Playbook newsletter.
I started my online business 12 years ago and for the last decade I’ve been helping online businesses grow and scale while working fewer hours.
Ever since ChatGPT went mainstream I’ve been obsessed with learning, implementing, and teaching AI to online businesses so you can boost productivity and make more money.
On this channel, I simplify AI and share everything I know, (and am learning along the way), about how you can leverage AI to work less and profit more.
Don’t Waste Money: Which AI Subscription Is Worth It?
👉 Try Recall free at https://rickmulready.com/recall-25 or use code Rick25 this January for 25% off the unlimited version.
ABOUT THIS VIDEO:
If you're juggling AI tools, unsure what’s worth paying for, or worried you’re missing out by sticking to just one — this video is for you.
It's the ultimate guide to choosing the right AI tool, and by the end, you’ll know exactly where to spend your time and money (and where you shouldn’t).
CHAPTERS:
0:00–0:24: Intro
0:24–5:53: ChatGPT
5:53–9:58: Claude
9:58–14:21: Gemini
14:21–18:30: Perplexity
18:30–19:28: If I Had to Choose ONE AI to Use Daily
🏆 Join my AI Playbook® community—in just one week, discover how to trim 5 hours off your workweek & unlock $500–$1K in new monthly revenue ➡️ https://rickmulready.com/skool79
LINKS MENTIONED:
Google Gemini Privacy: https://support.google.com/gemini/answer/13278892
ChatGPT: https://chatgpt.com/
Claude: https://claude.ai
Gemini: https://gemini.google.com/app
Get the Comet browser here: https://pplx.ai/rickm (this is an affiliate link)
WHO AM I?
Founded and after 12M+ downloads, sold The Art of Online Business podcast in 2023.
Founder of The AI Playbook community and The AI Playbook newsletter.
I started my online business 12 years ago and for the last decade I’ve been helping online businesses grow and scale while working fewer hours.
Ever since ChatGPT went mainstream I’ve been obsessed with learning, implementing, and teaching AI to online businesses so you can boost productivity and make more money.
5 Mind Blowing Use Cases of Google's New Marketing Tool: Pomelli
👉 Try Recall free at https://www.getrecall.ai/ or use code Rick25 this January for 25% off the unlimited version.
Today I'm showing you 5 ways to use Google Labs' new AI marketing tool Pomelli that will completely change how you create content for your business.
🏆 Join my AI Playbook® community—in just one week, discover how to trim 5 hours off your workweek & unlock $500–$1K in new monthly revenue ➡️ https://rickmulready.com/skool78
CHAPTERS:
0:00–1:36: Intro To Pomelli
1:36–5:09 : Use Case 1 – Brand Clarity Audit
5:09–6:30 : Use Case 2 – Lead Magnet Promotion
6:30–8:39 : Use Case 3 – Landing Page Promotion
8:39–9:52 : Use Case 4 – A/B Creative Testing
9:52–10:53: Use Case 5 – Affiliate Swipe Files
10:53–12:19: Use Case 6 – Reverse Engineer Competitor Strategy
WHO AM I?
Founded and after 12M+ downloads, sold The Art of Online Business podcast in 2023.
Founder of The AI Playbook community and The AI Playbook newsletter.
I started my online business over 10 years ago and for the last decade I’ve been helping online businesses grow and scale while working fewer hours.
Ever since ChatGPT went mainstream I’ve been obsessed with learning, implementing, and teaching AI to online businesses so you can boost productivity and make more money.
How to Create STUNNING Infographics with NotebookLM (Free)
🏆 Join my AI Playbook® community—in just one week, discover how to trim 5 hours off your workweek & unlock $500–$1K in new monthly revenue ➡️ https://rickmulready.com/skool77
In this video, I'm gonna share with you how you can create stunning infographics with NotebookLM for free.
LINK MENTIONED:
- NotebookLM: https://notebooklm.google/
- Gemini: https://gemini.google.com/app
- Google Workspace: https://workspace.google.com/pricing
CHAPTERS:
0:00 - 0:25: Intro about Notebook LM
0:25 - 3:25: Podcast to Infographic
3:25 - 5:10: YouTube Video Infographic
5:10 - 6:27: Book Principles Infographic
6:27 - 8:06: White Paper Infographic
8:06 - 9:08: SOP Infographic
9:08 - 10:13: Meeting Summary Infographic
10:13 - 12:01: Testimonials Infographic
WHO AM I?
Founded and after 12M+ downloads, sold The Art of Online Business podcast in 2023.
Founder of The AI Playbook community and The AI Playbook newsletter.
I started my online business over 10 years ago and for the last decade I’ve been helping online businesses grow and scale while working fewer hours.
Ever since ChatGPT went mainstream I’ve been obsessed with learning, implementing, and teaching AI to online businesses so you can boost productivity and make more money.
Why Every Small Business Should Do THIS in 2026
🏆 Join my AI Playbook® community—in just one week, discover how to trim 5 hours off your workweek & unlock $500–$1K in new monthly revenue ➡️ https://rickmulready.com/skool76
In this video I’m going to share with you my Inside Out AI Framework™ which will show you exactly where to use AI in your business, where process maps fits into your AI strategy, a simplified strategy for process mapping, and I’ll put it all together for you with a common business use case.
LINKS MENTIONED:
1. AI Automation Workflows: Relay.app -- https://rickmulready.com/relay (affiliate link)
2. Gemini: https://gemini.google.com/app
3. Whimsical: https://whimsical.com/
4. Claude: [https://claude.ai](https://claude.ai/new)
5. ChatGPT: https://chatgpt.com/
CHAPTERS:
0:00–1:03: Inside Out AI Framework Intro
1:03–2:40: Framework Steps Overview
2:40–4:05: Easiest Way to Spot Repetitive Tasks
4:05–5:40: Common AI Use Case
5:40–8:05: Step-by-Step Inbox Workflow Mapping
8:05–10:05: Core Email Categories and Actions
10:05–11:35: Process Mapping Tips, Ownership, and Resources
11:35–13:05: Tagging AI vs Automation Steps and Picking Models
13:05–14:03: Turning the Map into Relay.app Automation and Quick Wins
WHO AM I?
Founded and after 12M+ downloads, sold The Art of Online Business podcast in 2023.
Founder of The AI Playbook community and The AI Playbook newsletter.
I started my online business over 10 years ago and for the last decade I’ve been helping online businesses grow and scale while working fewer hours.
Ever since ChatGPT went mainstream I’ve been obsessed with learning, implementing, and teaching AI to online businesses so you can boost productivity and make more money.
12 AI Tools You Won’t Believe Are Free
🏆 Join my AI Playbook® community—in just one week, discover how to trim 5 hours off your workweek & unlock $500–$1K in new monthly revenue ➡️ https://rickmulready.com/skool75
Today I'm showing you 12 powerful AI tools that won’t cost you a dime and no these aren't stripped down premium versions these are fully functional AI tools that are completely free in fact the most powerful one and my favorite on this list is named like a cereal (or a snack) and most people have no idea that it exists well that changes today
Links mentioned:
1. https://flows.workspace.google.com/
2. https://labs.google.com/u/0/pomelli/campaigns
3. https://wisprflow.ai/r?WISPR10125 (get a FREE month of PRO, affiliate link)
4. https://notebooklm.google/
5. https://www.granola.ai/
6. https://goblin.tools/
7. https://www.mymap.ai/
8. https://www.napkin.ai/
9. https://headlines.coschedule.com
10. https://n8n.io/
11. https://app.chathub.gg/
12. https://www.snipd.com/
AI Automation Workflows: Relay.app -- https://rickmulready.com/relay (affiliate link)
CHAPTERS:
0:00–0:16: Intro – 12 powerful, fully free AI tools for online businesses
0:16–1:50: Google Workspace Studio
1:50–3:17: Pomelli (Google Labs)
3:17–4:26: Whisper Flow
4:26–5:32: Notebook LM
5:32–6:54: Granola
6:54–8:22: Goblin Tools
8:22–10:13: mymap.ai
10:13–12:00: Napkin AI
12:00–13:37: Headline Studio
13:37–15:11: n8n (Community Edition)
15:11–16:30: ChatHub.gg
16:30–18:42: Snipped
WHO AM I?
Founded and after 12M+ downloads, sold The Art of Online Business podcast in 2023.
Founder of The AI Playbook community and The AI Playbook newsletter.
I started my online business over 10 years ago and for the last decade I’ve been helping online businesses grow and scale while working fewer hours.
Ever since ChatGPT went mainstream I’ve been obsessed with learning, implementing, and teaching AI to online businesses so you can boost productivity and make more money.
9 Gemini 3 Tricks That Will Help You Become a Pro
👉 Try Recall for free at https://www.getrecall.ai/, or use code RICK25 for 25% off the unlimited plan valid until 1 Jan 2025.
Since Gemini 3 Pro launched a few weeks ago, ChatGPT has lost 12M daily users. That's a drop of about 6%. And in the AI world, where ChatGPT has been the unquestioned default? That's a massive signal.
And the reason for this is simple: Gemini 3 Pro is the real deal.
In this video, I’m going to show you 9 Gemini 3 tricks that will help you become a pro in no time.
Links mentioned:
Gemini: https://gemini.google.com/app
NotebookLM: https://notebooklm.google/
Google AI Studio: https://aistudio.google.com
CHAPTERS:
0:00–0:24 – Why Gemini 3 Pro matters
0:24–2:44 – Trick 1: Think Bigger
2:44–4:43 – Trick 2: Gemini 3 Pro’s Thinking Level (and How to Change It)
4:43–6:01 – Trick 3: Prompting
6:01–8:21 – Trick 4: Vibe Code a Web App In Minutes
8:21–9:02 – Trick 5: Gemini 3's Visual Reasoning and Nano Banana Pro Examples
9:02–11:03 – Trick 6: Use Nano Banana Pro Prompting Tricks
11:03–14:12 – Trick 7: Taking Advantage of Gemini 3's Multi-modal Capabilities (w/Audio and Video)
14:12–14:52 – Trick 8: Auto‑create Infographics Based on YouTube Videos
14:52–17:18 – Trick 9: Gemini 3 Pro's Impressive Multi-Step Workflow Capabilities In Action
WHO AM I?
Founded and after 12M+ downloads, sold The Art of Online Business podcast in 2023.
Founder of The AI Playbook community and The AI Playbook newsletter.
I started my online business over 10 years ago and for the last decade I’ve been helping online businesses grow and scale while working fewer hours.
Ever since ChatGPT went mainstream I’ve been obsessed with learning, implementing, and teaching AI to online businesses so you can boost productivity and make more money.
On this channel, I simplify AI and share everything I know, (and am learning along the way), about how you can leverage AI to work less and profit more.
7 NEW Mind-Blowing Use Cases of NotebookLM
🏆 Join my AI Playbook® community—in just one week, discover how to trim 5 hours off your workweek & unlock $500–$1K in new monthly revenue ➡️ https://rickmulready.com/skool73
Google has added a ton of new features to NotebookLM.
From the ability to now create pretty great infographics to slide decks to deep research, these open up a whole bunch of use cases that can save you time and money in your business.
In this video I’m going to share 7 business use cases for these new features.
Links Discussed:
- NotebookLM: https://notebooklm.google/
- Claude: https://claude.ai
- Google AI Studio: https://aistudio.google.com
- Gemini: https://gemini.google.com/app
CHAPTERS:
0:00–0:56: Intro – New NotebookLM features
0:56–2:40: Use Case 1 –Team Training Infographics in Minutes
2:42–4:17: Use Case 2 – Deep Market Research & Visual Representation
4:18–5:44: Use Case 3 – Visually Compare Best Business Models
5:45–7:14: Use Case 4 – Amplify Client Content with Infographics
7:15–9:00: Use Case 5 – Research to Instant Workshop Slides in Minutes
9:01–11:59: Use Case 6 – NotebookLM + Gemini 3 Pro = Interactive AI Tools Strategy Board
12:00–13:31: Use Case 7 – New Customized Explainer Videos
WHO AM I?
Founded and after 12M+ downloads, sold The Art of Online Business podcast in 2023.
Founder of The AI Playbook community and The AI Playbook newsletter.
I started my online business over 10 years ago and for the last decade I’ve been helping online businesses grow and scale while working fewer hours.
Ever since ChatGPT went mainstream I’ve been obsessed with learning, implementing, and teaching AI to online businesses so you can boost productivity and make more money.
On this channel, I simplify AI and share everything I know, (and am learning along the way), about how you can leverage AI to work less and profit more.
STOP Wasting Money on More AI Tools. Do THIS instead
🏆 Join my AI Playbook® community—in just one week, discover how to trim 5 hours off your workweek & unlock $500–$1K in new monthly revenue ➡️ https://rickmulready.com/skool72
In this video, I'm showing you how to replace 8 expensive tools—over $200 a month—with just a handful of cheap (or even free) ones using smarter workflows.
Links Discussed:
- NotebookLM: https://notebooklm.google/
- Claude: [https://claude.ai](https://claude.ai/new)
- Google AI Studio: [https://aistudio.google.com](https://aistudio.google.com/)
- Gemini: https://gemini.google.com/app
- Relay.app: https://rickmulready.com/relay (affiliate link)
- Notion: https://rickmulready.com/notion (get 3 months Notion Business with AI free, new paid users only)
CHAPTERS:
0:00–0:42: Intro—Why you’re likely spending too much on AI tools
0:42–1:28: Workflow 1 – Meeting Transcription & Note Taking (Otter AI/Fireflies to Fathom + NotebookLM)
2:09–3:42: Workflow 2 – Deep AI Research (from Perplexity Pro to NotebookLM with Gemini)
3:42–5:20: Workflow 3 – Content Creation (Jasper Pro, Copy.AI, WriteSonic to Claude Pro)
5:20–7:13: Workflow 4 & 5 - Image Generation & Design (Midjourney/IOG to NanoBanana or Imagin 4 in Google AI Studio)
7:08–8:46: Workflow 6– Presentations & Slide Deck Creation (Beautiful AI, Gamma, Canva Pro to Gemini app)
8:45–10:26: Workflow 7 – Automations & AI Workflows (make.com/Minepal to Claude Skills, relay.app, N8N)
10:33–11:55: Workflow 8 – Content Repurposing (Descript, repurpose.io to Claude Skills & relay.app)
12:02–13:45: Workflow 9 (Bonus) – Notion AI for connecting all workflows, research, and apps
13:45–14:13: Final thoughts
WHO AM I?
Founded and after 12M+ downloads, sold The Art of Online Business podcast in 2023.
Founder of The AI Playbook community and The AI Playbook newsletter.
I started my online business over 10 years ago and for the last decade I’ve been helping online businesses grow and scale while working fewer hours.
Ever since ChatGPT went mainstream I’ve been obsessed with learning, implementing, and teaching AI to online businesses so you can boost productivity and make more money.
On this channel, I simplify AI and share everything I know, (and am learning along the way), about how you can leverage AI to work less and profit more.
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Why are diffusion LLMs so fast?
Why are diffusion LLMs so fast?
This video discusses techniques for making diffusion LLMs faster, including:
• Self-Distillation Through Time
• Curriculum Learning
• Confidence scores for unmasking
• Guided diffusion (FlashDLM)
• Approximate KV caching (dLLM-Cache, dKV-Cache)
• Block diffusion
🔗 Inception:
Home: https://www.inceptionlabs.ai/
API: https://docs.inceptionlabs.ai/
X: https://x.com/_inception_ai
Stefano Ermon, cofounder & CEO: https://cs.stanford.edu/~ermon/
📚 Papers
Self-Distillation Through Time: https://arxiv.org/abs/2410.21035
FlashDLM (Guided Diffusion): https://arxiv.org/abs/2505.21467
dLLM-Cache: https://arxiv.org/abs/2506.06295
dKV-Cache: https://arxiv.org/abs/2505.15781
Block Diffusion: https://arxiv.org/abs/2503.09573
LLaDA: https://arxiv.org/abs/2502.09992
LLaDA 2.0: https://arxiv.org/abs/2512.15745
Seed Diffusion from ByteDance: https://arxiv.org/abs/2508.02193
Mercury from Inception: https://arxiv.org/abs/2506.17298
▶️ Other videos on diffusion: https://youtube.com/playlist?list=PL4bm2lr9UVG3SN79Y6WBe4OOlEiO88vie&si=LuSlceom29bz9-WG
00:00 Intro
02:00 Auto-regressive vs diffusion LLMs
03:06 Reducing refinement steps
05:54 Self-Distillation Through Time
07:15 Curriculum learning
08:17 Speeding up sampling
09:40 Confidence scores
11:35 Guided diffusion (FlashDLM)
13:24 Approximate KV caching (dLLM-Cache, dKV-Cache)
19:03 Block diffusion
21:19 Where to find diffusion models
An image is NxN words | Transformers in vision: ViT, DiT, MMDiT
This video covers the Vision Transformer (ViT), Diffusion Transformer (DiT) and Multimodal Diffusion Transformer (MMDiT).
This is the architectural evolution that enabled the original Transformer model (initially designed for machine translation and language modeling) to replace the de-facto model for vision, the Convolutional Neural Networks (CNN).
▶️ Companion videos:
- Transformers in language: https://youtu.be/SFi9KsnidNc?si=XmQpBqd0_KH7Vmcl
- Diffusion fundamentals: https://youtu.be/R0uMcXsfo2o?si=LvBqX2-A1wm66iLJ
- How the Transformer replaced CNNs: https://youtu.be/KnCRTP11p5U?si=2RrAya_2LU5I1Ms-
📚 Papers
ViT: https://arxiv.org/abs/2010.11929
DiT: https://arxiv.org/abs/2212.09748
MMDiT: https://arxiv.org/abs/2403.03206
FiLM: https://arxiv.org/abs/1709.07871
My full reading list: https://www.patreon.com/c/JuliaTurc
00:00 Intro
01:13 Transformer recap
02:24 Image classification
03:35 Vision Transformer (ViT)
05:37 Image generation
07:54 Diffusion Transformer (DiT)
10:07 DiT in-context learning
10:38 DiT cross-attention
11:15 DiT adaLN (and FiLM inspiration)
14:26 DiT adaLN-Zero
16:03 Pixart-alpha
16:43 Multimodal Diffusion Transformer (MMDiT)
The Physics of Diffusion Models
What the full video here: https://youtu.be/R0uMcXsfo2o?si=AHHq9KCwOsGtyzt_
Text Diffusion: A new LLM paradigm
This video is a clip from a longer explainer about diffusion-based LLMs: https://youtu.be/bmr718eZYGU?si=91-ARblMxz5a_Qh_
The relationship between convolution & self-attention
Full video: https://youtu.be/KnCRTP11p5U?si=SP2WfoTYZQlTKzRN
This is a clip from a full deep-dive that explains why Transformer-based models have replaced Convolutional Neural Networks (CNN) in computer vision.
Why are Transformers replacing CNNs?
Why does a Transformer classify this cat as a cat… while a ResNet calls it a macaw?
In this video we break down one of the biggest shifts in computer vision: why Transformers replaced Convolutional Neural Networks (CNNs) — even though CNNs were designed for images and Transformers for language.
We’ll compare convolution vs self-attention, explore CNNs’ inductive biases (locality, translation invariance, hierarchical features), and see why self-attention is strictly more expressive than convolution. You’ll also learn how attention can exactly implement convolutional kernels using relative positional encodings.
📚 Resources:
- On the Relationship between Self-Attention and Convolutional Layers: https://arxiv.org/abs/1911.03584
- Backpropagation Applied to Handwritten Zipcode Recognition: http://yann.lecun.com/exdb/publis/pdf/lecun-89e.pdf
- AlexNet (the paper that popularized CNNs in deep learning): https://proceedings.neurips.cc/paper_files/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf
- The Transformer: https://arxiv.org/abs/1706.03762
00:00 Intro
01:30 The convolution operation
03:34 Convolutional Neural Networks (CNNs)
05:51 The inductive bias in CNNs
07:22 Self-attention
10:39 Self-attention can implement convolutions
14:17 Computational power & multi-modality
16:03 ChatGPT can be funny
Inside a Real RAG Pipeline (Continua AI Case Study)
RAG (Retrieval-Augmented Generation) is a widely adopted technique that gives LLMs access to external documents. We briefly discuss its roots in Information Retrieval and the transition from sparse to dense retrieval.
Continua AI shares how they leverage HyDE (a query augmentation technique) to enhance their RAG pipeline in the context of group conversations / social AI.
📖 HyDE paper: https://arxiv.org/abs/2212.10496
🔗 Continua AI: https://continua.ai/
🎤 Interview with David Petrou, CEO of Continua: https://www.patreon.com/posts/interview-with-143106016
🔗 Olga Dorabiala on LinkedIn: https://www.linkedin.com/in/olga-dorabiala-140930151/
00:00 What is RAG?
02:02 RAG is rooted in Information Retrieval
03:50 RAG challenges
05:44 Continua AI uses HyDE for their RAG pipeline
Transformers & Diffusion LLMs: What's the connection?
Diffusion-based LLMs are a new paradigm for text generation; they progressively refine gibberish into a coherent response. But what's their connection to Transformers?
In this video, I unpack how Transformers evolved from a simple machine translation tool into the universal backbone of modern AI — powering everything from auto-regressive models like GPT to diffusion-based models like LLaDA.
We’ll go step-by-step through:
• How the Transformer architecture actually works (encoder, decoder, attention)
• Why attention replaced recurrence in natural language processing
• How GPT training differs from diffusion-based text generation
• How BERT’s masked language modeling inspired diffusion LLMs
• A concrete walkthrough of LLaDA’s masked diffusion process
If you’re new here, check out my previous videos for an intuition-driven introduction to diffusion models and how physical diffusion inspired them: https://youtube.com/playlist?list=PL4bm2lr9UVG3SN79Y6WBe4OOlEiO88vie&si=RcTREWUyVSAZRriv
📚 Free slide deck: https://patreon.com/juliaturc
📚 Papers:
• Original GPT: https://cdn.openai.com/research-covers/language-unsupervised/language_understanding_paper.pdf
• BERT: https://arxiv.org/abs/1810.04805
• LLaDA: https://arxiv.org/abs/2502.09992
▶️ My previous video on Transformers: https://youtu.be/LE3NfEULV6k?si=SAaHbw6jD14nc7IM
00:00 Intro
01:25 The Transformer origin story
03:52 The alignment problem & attention
06:26 The architecture: encoder vs decoder
11:25 Auto-regressive LLMs & GPT
16:09 Text classification & BERT
18:51 Diffusion LLMs & LLaDA
24:17 Outro
Text diffusion: A new paradigm for LLMs
Text diffusion is a new paradigm for LLMs. As opposed to mainstream auto-regressive models like GPT, Claude or Gemini (which predict one token at a time), diffusion-based LLMs draft an entire response and refine it progressively. This leads to 10x faster inference.
Models like Gemini Diffusion, Mercury Coder from Inception Labs and Seed Diffusion from ByteDance are already competitive on coding benchmarks.
Inspired by physical diffusion, such models make use of Markov chains to model data generation as a particle hopping through discrete states.
📖 Papers:
Full reading list: https://www.patreon.com/c/JuliaTurc
D3PM: https://arxiv.org/abs/2107.03006
LLaDA: https://arxiv.org/abs/2502.09992
Scaling up Masked Diffusion Models on Text: https://arxiv.org/abs/2410.18514
▶️ The physics behind diffusion models: https://youtu.be/R0uMcXsfo2o?si=OqdGg4TPefSNTK3t
00:00 Intro
01:04: Auto-regressive vs diffusion LLMs
02:06: Why bother with diffusion for text?
06:30: The probability landscape
07:57: Diffusion in latent embedding space
11:00: Diffusion in token embedding space
12:13: Diffusion in text token space
13:49: Markov chains
16:46: Paper study: D3PM
19:42: Paper study: LLaDA
22:30: Evaluation
Hierarchical Reasoning Model: Substance or Hype?
📚 Free resources (reading list + visuals): https://www.patreon.com/c/JuliaTurc
📃 HRM paper: https://arxiv.org/abs/2506.21734
▶️ Yacine's YouTube channel: https://www.youtube.com/@deeplearningexplained
In this video, we dive into the Hierarchical Reasoning Model (HRM), a new architecture from Sapient Intelligence that challenges scaling as the only way to advance AI. With only 27M parameters, 1000 training examples, and no pretraining, HRM still manages to place on the notoriously difficult ARC-AGI leaderboard, right next to models from OpenAI and Anthropic.
Together with Yacine Mahdid (neuroscience researcher & ML practitioner), we’ll explore:
• Why vanilla Transformers plateau on tasks like Sudoku and Maze solving
• How latent recurrence and hierarchical loops give HRM more reasoning depth
• The neuroscience inspiration (theta–gamma coupling in the hippocampus 🧠)
• HRM’s controversial evaluation on ARC-AGI: was it a breakthrough or bending the rules?
• What this means for the future of reasoning in AI models
Timestamps:
00:00 Introducing HRM
01:23 Why Sudoku breaks Transformers
03:07 Recurrence via Chain-of-Thought
04:22 HRM: bird's eye view
06:30 Latent recurrence
08:23 The neuroscience backing
11:43 The H and L modules
12:32 Backprop-through-time approximation
13:48 The outer loop
19:31 Training data augmentation
22:59 Evaluation on Sudoku
24:07 Evaluation on ARC-AGI
The physics behind diffusion models
Full reading list: https://www.patreon.com/posts/physics-behind-136741238
Diffusion models build on the same mathematical framework as physical diffusion. In this video, we get to the core of the connection between the physics of motion and generative AI.
Topics covered:
• The intuition of probability landscapes (data as peaks, noise as valleys)
• Forward diffusion: how real data is gradually noised into chaos
• Brownian motion, Wiener processes, and the physics of particle motion
• Stochastic differential equations (SDEs) and the noise schedule
• Training a score function model (a “compass” in the probability landscape)
• Reverse diffusion and Anderson’s reverse SDE (sampling from noise to data)
• Probability flow ODEs for faster, deterministic sampling
🔗 Main resources:
• Full reading list: https://www.patreon.com/posts/physics-behind-136741238
• DDPM: Denoising Diffusion Probabilistic Models (https://arxiv.org/abs/2006.11239)
• Score-Based Generative Modeling through Stochastic Differential Equations (https://arxiv.org/abs/2011.13456)
00:00 Intro
01:06 Diffusion as a time-variant probability landscape
04:03 Where diffusion fits in the life of a model
04:34 Forward diffusion (training data generation)
06:25 The physics of diffusion
08:23 The forward SDE (Stochastic Differential Equation)
10:24 Case study: DDPM and noise schedules
13:17 The ML model as a local compass
14:43 Reverse diffusion and the reverse SDE
16:15 Samplers
17:27 Probability-flow ODE (Ordinary Differential Equation)
19:26 Outro
Reverse-engineering GGUF | Post-Training Quantization
The first comprehensive explainer for the GGUF quantization ecosystem.
GGUF quantization is currently the most popular tool for Post-Training Quantization. GGUF is actually a binary file format for quantized models, sitting on top of GGML (a lean PyTorch alternative) and llama.cpp (an LLM inference engine).
Due to its ad-hoc open-source nature, GGUF is poorly documented and misunderstood. Currently, information is scattered across Reddit threads and GitHub pull requests.
📌 Main topics covered in this video:
- The ecosystem: GGML, llama.cpp, GGUF
- Legacy quants vs K-quants vs I-quants
- The importance matrix
- Mixed precision (_S, _M, _L, _XL variants)
If you enjoyed this video, watch my entire series on model quantization: https://www.youtube.com/playlist?list=PL4bm2lr9UVG0HvePBXvsceO4yuLC8HhUh
📬 Have feedback or spotted an error? Contribute to the GitHub repo or leave a comment!
https://github.com/iuliaturc/gguf-docs
00:00 Intro
01:36 The stack: GGML, llama.cpp, GGUF
04:05 End-to-end workflow
05:29 Overview: Legacy, K-quants, I-quants
06:03 Legacy quants (Type 0, Type1)
10:57 K-quants
13:43 I-quants
17:42 Importance Matrix
22:51 Recap
23:35 Mixed precision (_S, _M, _L, _XL)
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