Behind the Craft
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- 132
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- Dernier épisode
- 8 Nov 2026
À propos du podcast
Expert interviews and guides to help you level up as a product leader and creator fast.
Épisodes 132
OpenAI VP: How AI Changed My Family’s Fight Against Cancer | Ashley Alexander
Copy my best AI workflows to save time and automate busywork: https://www.behindthecraft.com/?utm_source=spotify&utm_medium=podcastAshley is the VP of Product at OpenAI leading health and this is a very special …
Notes de l’épisode
Copy my best AI workflows to save time and automate busywork: https://www.behindthecraft.com/?utm_source=spotify&utm_medium=podcast
Ashley is the VP of Product at OpenAI leading health and this is a very special episode for me. We talked about how we both use AI to help our parents fight cancer — including preparing for doctor visits, researching treatments, and coping with the emotional weight of being a caregiver. Both of Ashley’s parents got diagnosed with cancer in a single week and it was really inspiring to hear how she took care of them.
Ashley and I talked about:
(00:00) How her dad’s cancer led Ashley to OpenAI
(07:15) Why I talk to AI more than my own mom
(09:41) Are doctors annoyed when patients bring AI research?
(14:17) Is AI really about to cure cancer?
(19:12) Should you trust ChatGPT with your health records?
(25:38) How ChatGPT caught a risky treatment before it was given
(28:00) Why hospitals still use faxes and CDs
(36:16) What Ashley types into ChatGPT during her dad’s appointments
(41:09) Making time for your parents with a demanding job
Thanks to our sponsor:
Granola: AI meeting notes that don’t suck https://granola.ai/peter
Riverside: All-in-one AI studio for podcasts and video https://creators.riverside.com/PeterYang
📌 Get the takeaways: https://creatoreconomy.so/p/how-ai-changed-my-family-fight-against-cancer-ashley-openai
Where to find Ashley:
LinkedIn: https://www.linkedin.com/in/ashleyyuki
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How to Edit Videos Like a Pro with Claude and HyperFrames | Jake Moran
Jake is my go-to expert on editing videos with AI. In our episode, he showed me the editing keywords that get Claude to do what you want. Then he walked through how he made a launch video, a YouTube solo video …
Notes de l’épisode
Jake is my go-to expert on editing videos with AI. In our episode, he showed me the editing keywords that get Claude to do what you want. Then he walked through how he made a launch video, a YouTube solo video, and even a short-form clip step by step using HyperFrames, a free open-source tool.
Jake and I talked about:
(00:00) The editing words that get AI to do what you want
(06:14) Parakeet: A free local model for accurate cuts
(08:40) Hook viewers with zooms, B-roll, and whip pans
(13:37) Demo: A launch video built from three screenshots
(18:41) Launch videos in 4 parts: Hook, context, payoff, brand
(20:39) Claude added Jake’s AI avatar without being asked
(23:28) Jake’s AI edit of my raw YouTube video
(29:25) Copy any creator’s effect from a 5-second clip
(36:17) Draw on the frame instead of typing AI feedback
Thanks to our sponsors:
Wispr Flow: 4x faster than typing with your voice https://ref.wisprflow.ai/peteryang
📌 Get the takeaways: https://creatoreconomy.so/p/how-to-make-amazing-videos-with-claude-and-hyperframes-jake-moran
Where to find Jake:
HyperFrames: https://hyperframes.dev
Parakeet: https://build.nvidia.com/nvidia/parakeet-tdt-0_6b-v2/modelcard
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Gemini 4 Changed How Google Builds Products | Jaclyn Konzelmann
Jaclyn is a product director at Google Labs and we had a great chat about how Gemini 4 changed her product job, how she keeps AI slop out of her team's docs and products, and how she's raising three kids with …
Notes de l’épisode
Jaclyn is a product director at Google Labs and we had a great chat about how Gemini 4 changed her product job, how she keeps AI slop out of her team's docs and products, and how she's raising three kids with AI's help. Gemini 4 Carbon is currently the best model in the world based on benchmarks, and it was fun to get a sneak peek into how Google's own product leaders use it internally.
Jaclyn and I talked about:
(00:00) How Gemini 4 changed the PM job at Google
(02:11) Should it even exist? How Google Labs picks what to build
(09:16) The doc rule that keeps AI slop out of Google Labs
(10:45) Which Labs experiments graduated into the Gemini app
(12:53) Why Google Labs never treats a killed experiment as failure
(17:43) Code is free, so what's actually worth building?
(24:00) Her 5-year-old is the creative director of their AI podcast
(26:30) Best screen time for kids: Creation, not consumption
Thanks to our sponsors:
Wispr Flow: 4x faster than typing with your voice https://ref.wisprflow.ai/peteryang
Riverside: All-in-one AI studio for podcasts and video https://creators.riverside.com/PeterYang
📌 Get the takeaways: https://creatoreconomy.so/p/gemini-4-changed-how-google-builds-products-jaclyn-konzelmann
Where to find Jaclyn:
X: https://x.com/jacalulu
Substack: https://substack.com/@jacalulu
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We Built an AI CFO to Help You Grow Your Net Worth | Anthony Pompliano
Pomp and I worked together at Facebook a decade ago before he became an investor, best-selling author, and public company CEO with an audience of 3.3M. We had a great chat about how to build an extraordinary …
Notes de l’épisode
Pomp and I worked together at Facebook a decade ago before he became an investor, best-selling author, and public company CEO with an audience of 3.3M. We had a great chat about how to build an extraordinary career and life and how he's building Silvia, an AI CFO for independent investors, to take on the AI labs.
Pomp and I talked about:
(00:00) Why Pomp never had a career plan
(04:43) Why an audience is the best way to win deal flow
(10:33) Paid work trials instead of job interviews
(18:35) Hire for revenue, not margins
(20:32) Silvia: An AI CFO for independent investors
(25:00) How AI found a tax strategy worth $100Ks a year
(32:05) How a team of under 10 plans to compete with the AI labs
(35:58) Pomp’s latest take on Bitcoin
(39:21) How Pomp teaches his four kids to solve problems
Thanks to our sponsors:
Riverside: All-in-one AI studio for podcasts and video https://creators.riverside.com/PeterYang
📌 Get the takeaways: https://creatoreconomy.so/p/we-built-an-ai-cfo-to-help-you-grow-net-worth-anthony-pompliano
Where to find Pomp:
Silvia: https://www.cfosilvia.com/
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The 4-Step Agentic Engineering Workflow I Use to Ship Real Apps | Ras Mic
Micky is a full-stack engineer who has taught 100K+ people how to build with AI. In our episode, he walked me through his 4-step agentic engineering workflow to avoid pumping out slop: Isolate every task, build …
Notes de l’épisode
Micky is a full-stack engineer who has taught 100K+ people how to build with AI. In our episode, he walked me through his 4-step agentic engineering workflow to avoid pumping out slop: Isolate every task, build to a clear structure, prove via validation loops, and ship after agents review your PRs or escalate to you for a manual look.
Micky and I talked about:
(00:00) Why most software factories pump out slop
(02:06) Step 1 (Isolate): How to run multiple agents at once
(07:18) Step 2 (Build): Give agents a structure to build on
(10:44) Step 3 (Prove): Build agentic validation loops
(16:48) The one step Micky never hands to agents
(21:30) Step 4 (Ship): Getting agents to review PRs reliably
(28:20) Why Micky doesn't write specs
(33:08) Comparing Astra and Fable for coding
(43:08) Are AI skills obsolete with today's models?
Thanks to our sponsors:
Wispr Flow: 4x faster than typing with your voice https://ref.wisprflow.ai/peteryang
Riverside: All-in-one AI studio for podcasts and video https://creators.riverside.com/PeterYang
📌 Get the takeaways: https://creatoreconomy.so/p/agentic-engineering-workflow-ras-mic
Where to find Micky:
YouTube: https://www.youtube.com/@RasMic
Skills: https://github.com/michaelshimeles/skills
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How to Use AI to Survive (and Even Enjoy) Meetings | Sam Stephenson
Sam is the co-founder of Granola, the AI meeting notes app now valued at $1.5B. Granola has helped me survive (and even enjoy) countless meetings, so I was excited to learn how Sam uses AI to show up prepared …
Notes de l’épisode
Sam is the co-founder of Granola, the AI meeting notes app now valued at $1.5B. Granola has helped me survive (and even enjoy) countless meetings, so I was excited to learn how Sam uses AI to show up prepared. We also talked about building an AI-native company without the 996 grind and what design means when agents skip your app entirely.
Sam and I talked about:
(00:00) The AI brief Sam now relies on before every new meeting
(01:27) “What did I miss?”: Granola’s most used recipe
(03:45) Why Granola hides the transcript despite user complaints
(09:37) A Granola recipe to get feedback from founders
(13:54) Why Sam feels a pang of sadness when agents skip your UI
(19:30) Why Sam’s Figma use fell to 20% and how Granola stops slop
(26:14) Nacho: The agent every Granola employee asks first
(30:58) Why most people stop improving their product way too early
Thanks to our sponsors:
Linear: The AI agent platform for modern teams https://linear.app/behind-the-craft
Riverside: All-in-one AI studio for podcasts and video https://creators.riverside.com/PeterYang
📌 Get the takeaways: https://creatoreconomy.so/p/how-to-use-ai-to-survive-meetings-sam-stephenson
Where to find Sam:
LinkedIn: https://www.linkedin.com/in/stephensonsam/
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We Built Grok Bot. Here Are Our 14 Best Bots | Peng Zheng & Lauren Tan
Copy my best AI workflows to save time and automate busywork: https://www.behindthecraft.com🤝 Subscribe to my practical AI newsletter read by 150K+ professionals: https://creatoreconomy.soPeng and Lauren are …
Notes de l’épisode
Copy my best AI workflows to save time and automate busywork: https://www.behindthecraft.com
🤝 Subscribe to my practical AI newsletter read by 150K+ professionals: https://creatoreconomy.so
Peng and Lauren are the lead designer and engineer for Grok Bot at SpaceXAI. In our interview, they showed me 14 bots that they use for work and life, from a design bot that helps Peng mock up designs to an entire team of engineering bots that help Lauren ship faster.
Peng, Lauren, and I talked about:
(00:00) The bots that the Grok Bot team actually uses
(01:23) Peng’s chief of staff bot buys supplies and lists gear
(06:31) Putting PM, design, and eng bots in the same room
(10:07) Turning a street photo into a diorama on Peng’s website
(14:16) How Lauren’s bots test their own work before merging
(17:59) Dr. Eggbot, Lauren’s bot that designs and audits your bots
(21:27) The assistant bot that booked Lauren’s multi-city trip
(25:22) Eng bots that sometimes land PRs before Lauren reads them
(38:59) How to trust your bots with more work, one skill at a time
Thanks to our sponsors:
Granola: AI meeting notes that don’t suck https://granola.ai/peter
Riverside: All-in-one AI studio for podcasts and video https://creators.riverside.com/PeterYang
📌 Get the takeaways: https://creatoreconomy.so/p/grok-bot-team-14-best-bots-peng-zheng-lauren-tan
Where to find Peng Zheng:
Website: https://www.pengzhe.ng/
Where to find Lauren Tan:
Dr. Eggbot: https://x.ai/bot/marketplace/bots/dr-eggbot-v2
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How to Save Money Now with ChatGPT Finances (6 Real Use Cases) | Ethan Bloch
Ethan is the product lead for ChatGPT Finances at OpenAI. He previously co-founded Digit, which helped more than 10 million people save over $9 billion. In our interview, he shared six practical ways to use …
Notes de l’épisode
Ethan is the product lead for ChatGPT Finances at OpenAI. He previously co-founded Digit, which helped more than 10 million people save over $9 billion. In our interview, he shared six practical ways to use ChatGPT to find wasted spending, save money on taxes, maximize credit card rewards, and model major financial decisions. I’m confident at least one of these use cases will save you money today.
Ethan and I talked about:
(00:00) ChatGPT Finances can save you money right now
(03:37) Use case 1: Cancel recurring subscriptions
(09:37) How ChatGPT protects your financial data
(18:03) Use case 2: Find tax savings proactively
(24:58) Use case 3: Cut ETF and mutual fund fees
(26:20) Use case 4: Maximize credit card rewards
(28:20) Use case 5: Model income and taking time off
(31:05) Use case 6: Decide whether to rent or buy
(34:00) How to set up recurring finance checks
(36:58) Shipping 47 product updates in one week
Thanks to our sponsors:
Wispr Flow: 4x faster than typing with your voice https://ref.wisprflow.ai/peteryang
Riverside: All-in-one AI studio for podcasts and video https://creators.riverside.com/PeterYang
Linear: The AI agent platform for modern teams https://linear.app/behind-the-craft
📌 Get the takeaways: https://creatoreconomy.so/p/how-to-save-money-now-with-chatgpt-finances-ethan-bloch
Where to find Ethan:
X: https://x.com/ebloch
LinkedIn: https://www.linkedin.com/in/ebloch/
Website: https://ethanbloch.com/
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Stop Building AI Agents. Build AI Employees Instead (Live Demo) | Pedro Franceschi
Pedro is widely respected as one of the most AI-pilled CEOs out there. His hot take is that “agents” is a terrible name. Instead, he showed me what you should build: AI employees that have a defined job …
Notes de l’épisode
Pedro is widely respected as one of the most AI-pilled CEOs out there. His hot take is that “agents” is a terrible name. Instead, he showed me what you should build: AI employees that have a defined job, skills, manager, and budget. Pedro also did a live demo of how he still uses OpenClaw to stay on top of his $5B business.
Pedro and I talked about:
(00:00) Build AI employees, not AI agents
(05:23) Why Pedro spends half his time reviewing work
(12:32) Live demo: Jim, Brex’s AI recruiting employee
(21:24) Why Brex makes engineers build with AI in interviews
(22:33) CrabTrap: How to stop AI employees from leaking data
(27:30) The tokenmaxxing bill is coming. Here’s how to control it
(40:45) Live demo: Pedro’s OpenClaw system runs his life
Thanks to our sponsors:
Riverside: All-in-one AI studio for podcasts and video https://creators.riverside.com/PeterYang
Linear: The AI agent platform for modern teams https://linear.app/behind-the-craft
📌 Get the takeaways: https://creatoreconomy.so/p/stop-building-ai-agents-build-ai-employees-insead-pedro-franceschi-brex
Where to find Pedro:
LinkedIn: https://www.linkedin.com/in/pfranceschi/
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AI Makes Cheating Easy. Here’s How It Can Make Kids Smarter Instead | Sue Khim
📌 Copy the AI system I use to run a one-person $1M+ business: https://www.behindthecraft.com🤝 Subscribe to my practical AI newsletter read by 150K+ professionals: https://creatoreconomy.soSue is the co-founder …
Notes de l’épisode
📌 Copy the AI system I use to run a one-person $1M+ business: https://www.behindthecraft.com
🤝 Subscribe to my practical AI newsletter read by 150K+ professionals: https://creatoreconomy.so
Sue is the co-founder and CEO of Brilliant, an interactive learning platform with 10M+ learners. I asked her how AI can help kids learn without doing their thinking for them, and she played back a real session with Koji, Brilliant’s AI tutor. If you’re building AI products or raising kids, watch how it helps a student work through a mistake without handing over the answer.
We talked about:
(00:00) Why AI should make kids think harder
(01:34) Why test scores are down while grades are up
(09:41) Koji: An AI tutor that won’t give you the answer
(18:05) Why humans design lessons and AI builds them
(22:25) Primitives: The building blocks behind Brilliant’s AI
(29:30) Testing AI lessons with simulated students
(32:10) Measuring learning, not lesson completion
(34:39) Sue’s rule for competing with the big AI labs
(39:10) How to raise kids who enjoy doing hard things
Thanks to our sponsors:
Riverside: All-in-one AI studio for podcasts and video https://creators.riverside.com/PeterYang
Linear: The AI agent platform for modern teams https://linear.app/behind-the-craft
Wispr Flow: 4x faster than typing with your voice https://ref.wisprflow.ai/peteryang
Where to find Sue:
LinkedIn: https://www.linkedin.com/in/sue-khim-70b86014/
Brilliant: https://brilliant.org
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How to Vibe Code Apps That Become Real Businesses | Amol Jain
📌 Copy the AI system I use to run a one-person $1M+ business: https://www.behindthecraft.com🤝 Subscribe to my practical AI newsletter read by 150K+ professionals: https://creatoreconomy.soAs head of product …
Notes de l’épisode
📌 Copy the AI system I use to run a one-person $1M+ business: https://www.behindthecraft.com
🤝 Subscribe to my practical AI newsletter read by 150K+ professionals: https://creatoreconomy.so
As head of product engineering at Replit, Amol has a firsthand look at which vibe-coded apps become real businesses. He showed me three apps built by non-coders that reached six figures, then walked through his 4-step process to take a prototype to production — publishing, security, monetization, and distribution.
Amol and I talked about:
(00:00) He built an app in 3 days that made $100K+ in month one
(02:08) Three vibe-coded apps that became real businesses
(08:04) What six-figure vibe-coded apps have in common
(12:31) Live demo: Turn an AI interview coach into a real business
(13:59) Steps 1 and 2: Publish the app and make it secure
(17:50) Steps 3 and 4: Add payments and optimize SEO
(21:35) How to replace expensive SaaS with internal tools
(28:22) What software survives when code costs almost nothing
(31:02) Why value is moving from models to apps
Thanks to our sponsors:
Riverside: All-in-one AI studio for podcasts and video https://creators.riverside.com/PeterYang
Linear: The AI agent platform for modern teams https://linear.app/behind-the-craft
Wispr Flow: 4x faster than typing with your voice https://ref.wisprflow.ai/peteryang
📌 Get the takeaways: https://creatoreconomy.so/p/how-non-coders-are-vibe-coding-100k-businesses-with-ai-amol-jain-replit
Where to find Amol:
LinkedIn: https://www.linkedin.com/in/jainamol
Website: https://replit.com
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How to Build Better AI Evals with Claude Code in 5 Steps | Shreya & Hamel
📌 Copy the AI system I use to run a one-person $1M+ business: https://www.behindthecraft.com🤝 Subscribe to my practical AI newsletter read by 150K+ professionals: https://creatoreconomy.soShreya and Hamel teach …
Notes de l’épisode
📌 Copy the AI system I use to run a one-person $1M+ business: https://www.behindthecraft.com
🤝 Subscribe to my practical AI newsletter read by 150K+ professionals: https://creatoreconomy.so
Shreya and Hamel teach the industry standard course for AI evaluations taken by 4,500+ students from OpenAI, Google, and more. In our interview, I asked them to give live feedback on the AI evals that I built for my skills and demo how anyone can run evals with ChatGPT/Claude and their free evals skill. Don’t miss this up to date primer on evals from the real experts. 🙂
P.S., I asked Shreya and Hamel to give my audience 25% off the next cohort of their AI evals course. It has 4.7 stars with 900 reviews which is almost unheard of on Maven. Sign up via the link here: https://maven.com/parlance-labs/evals?utm_campaign=peteryang&utm_medium=affiliate&utm_source=maven&promoCode=PETERYANG
We talked about:
(00:00) Why AI evals are completely different now with the latest models
(02:30) Demo: Live audit of the evals that I built for my AI skills
(05:14) Top down vs. bottom up evals and why AI sucks at the latter
(08:16) Spinning up AI agents to grade each eval criteria
(14:32) Demo: Using Shreyas AI skill to run evals in Claude
(23:46) How to review output labels to identify failures
(34:37) How to turn failures into reusable evals
(43:19) Where human judgement is still needed
Resources mentioned:
Free eval skills from Shreya: https://github.com/ai-evals-course/evals-skills
Do automated evals work?: https://parlance-labs.com/blog/posts/auto-evals/
Thanks to our sponsors:
Wispr Flow — 4x faster than typing with your voice — https://ref.wisprflow.ai/peteryang
📌 Get the takeaways: https://creatoreconomy.so/p/how-to-build-better-ai-evals-with-claude-code-shreya-hamel
Where to find Shreya and Hamel:
Shreya: https://www.sh-reya.com/
Hamel: https://hamel.dev/
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How I Run My 1.5M+ Follower Content Business With Codex | Riley Brown
📌 Copy the AI system I use to run a one-person $1M+ business: https://www.behindthecraft.com🤝 Subscribe to my practical AI newsletter read by 150K+ professionals: https://creatoreconomy.soRiley is a top AI …
Notes de l’épisode
📌 Copy the AI system I use to run a one-person $1M+ business: https://www.behindthecraft.com
🤝 Subscribe to my practical AI newsletter read by 150K+ professionals: https://creatoreconomy.so
Riley is a top AI creator and founder of Agent Native. In this episode, he showed me how he uses Codex to run his entire content business from generating engaging thumbnails to writing incredible video hooks. Riley also shared his full AI stack including some lesser known AI tools to edit videos, draw diagrams, and more.
We talked about:
(00:00) How Codex runs Riley’s 1.5M+ follower content business
(03:16) Demo: Using Codex to create animations and B-roll
(07:28) Demo: Codex can reverse-engineer a top YouTube hook
(13:24) The BRENS framework to turn an idea into a strong hook
(17:24) Demo: Riley’s Codex stack for diagrams, thumbnails, and posts
(22:01) How Riley creates so much content every week
(25:41) Demo: Using Codex and Paper for viral YouTube thumbnails
(35:01) How to set up AI agents to find content ideas proactively
Thanks to our sponsors:
Google AI Studio: The fastest way to go from prompt to production https://aistudio.google.com/?utm_source=peteryang&utm_medium=partner&utm_campaign=26Q3-peteryang_ais
Riverside: All-in-one AI studio for podcasts and video https://creators.riverside.com/PeterYang
Wispr Flow: 4x faster than typing with your voice https://ref.wisprflow.ai/peteryang
📌 Get the takeaways: https://creatoreconomy.so/p/how-i-run-my-content-business-with-codex-riley-brown
Where to find Riley:
Agent Native, Riley’s new company: https://agentnative.inc/
X: https://x.com/rileybrown
Website: https://rileybrown.xyz/
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5 Rules for Building AI Agents That Work in Production | Nan Yu & Jacob Shumway
📌 Copy the AI system I use to run a one-person $1M+ business: https://www.behindthecraft.com🤝 Subscribe to my practical AI newsletter read by 150K+ professionals: https://creatoreconomy.soNan and Jacob built …
Notes de l’épisode
📌 Copy the AI system I use to run a one-person $1M+ business: https://www.behindthecraft.com
🤝 Subscribe to my practical AI newsletter read by 150K+ professionals: https://creatoreconomy.so
Nan and Jacob built Linear Agent, which has transformed how the $1.25B company gets work done. In this episode, they took me from the initial memo to launch, showing how to give an agent tools to find the context it needs, use evals to improve reliability, and more. This episode is a must-watch if you want a concrete, behind-the-scenes example of how to build a production agent end to end.
We talked about:
(00:00) What’s holding AI agents back as models improve?
(00:51) Three things every good agent needs
(03:00) Demo: The internal memo that started Linear Agent
(09:50) The biggest mistake to avoid when building agents
(11:29) Demo: From Slack to code in 6 minutes with the agent
(17:01) When prototyping, “use the biggest model until it works”
(24:02) Give agents tools to find context, not more context
(34:07) The first thing to do before building an agent
Thanks to our sponsors:
Oceans: Hire AI-native EAs http://oceanstalent.com/peter
Riverside: All-in-one AI studio for podcasts and video https://creators.riverside.com/PeterYang
Linear: The AI agent platform for modern teams https://linear.app/behind-the-craft
📌 Get the takeaways: https://creatoreconomy.so/p/5-rules-for-building-ai-agents-in-production-linear-nan-jacob
Where to find Nan and Jacob:
Nan on LinkedIn: https://www.linkedin.com/in/thenanyu
Jacob on LinkedIn: https://www.linkedin.com/in/jacob-shumway-314a8366
Linear Agent: https://linear.app/docs/linear-agent
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Hermes Co-Founder on Building an AI Agent That Improves Itself | Karan Malhotra
📌 Copy my personal AI system to save time and build with AI: https://www.behindthecraft.com/🤝 Get my free AI newsletter read by 150K+ professionals: https://creatoreconomy.so/Karan co-founded Nous Research, the …
Notes de l’épisode
📌 Copy my personal AI system to save time and build with AI: https://www.behindthecraft.com/
🤝 Get my free AI newsletter read by 150K+ professionals: https://creatoreconomy.so/
Karan co-founded Nous Research, the company behind Hermes, the #1 personal agent and AI app overall on OpenRouter. I found him incredibly down to earth as we discussed why open-source AI must win, how Hermes gets better the more you use it, and even a live demo of how Hermes can mod your favorite childhood games.
Karan and I talked about:
(00:00) How Hermes differs from Claude Code and Codex
(02:20) Why every AI model now sounds exactly the same
(11:16) How to stop AI from saying “you’re absolutely right”
(15:16) How Hermes creates skills without bloating its context
(16:40) The open vs. closed-source debate on AI safety
(23:40) Using one Kanban board for humans and AI agents
(26:45) Demo: Rebuilding a childhood Sonic world with Hermes
(36:07) How two Discord friends built a self-improving agent
(42:40) How Hermes became its own biggest contributor
Thanks to our sponsors:
Riverside: All-in-one AI studio for podcasts and video https://creators.riverside.com/PeterYang
Linear: The AI agent platform for modern teams https://linear.app/behind-the-craft
Wispr Flow: 4x faster than typing with your voice https://ref.wisprflow.ai/peteryang
📌 Get the takeaways: https://creatoreconomy.so/p/hermes-co-founder-on-building-an-ai-agent-that-improves-itself-karan-malhotra
Where to find Karan:
X: https://x.com/karan4d
Website: https://www.karan4d.com/
Hermes Agent: https://github.com/NousResearch/hermes-agent
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ChatGPT Work + Codex Tutorial: My Complete System at OpenAI | Jason Liu
Jason is a DevEx engineer on the Codex team. In our episode, he showed me how he runs his entire workday using Codex, from his chief of staff thread to the way he builds skills that learn how he works. Jason …
Notes de l’épisode
Jason is a DevEx engineer on the Codex team. In our episode, he showed me how he runs his entire workday using Codex, from his chief of staff thread to the way he builds skills that learn how he works. Jason wrote the official OpenAI guidebook on how to get the most out of Codex, so don’t miss this episode.
Jason and I talked about:
(00:00) The only job left after AI can do the work
(02:40) Turn pinned threads into long-running workspaces
(05:50) Build a chief of staff across Slack, email, and Linear
(10:12) Teach Codex to write like you for every audience
(13:33) Mine past sessions for new skills and workflows
(20:01) How Codex revised a launch video while Jason was out
(24:23) Build a drum practice site around how you learn
(25:59) Goal, plan, and worklog for long-running Codex tasks
(33:52) Why taste starts with knowing what feels wrong
Thanks to our sponsor:
Google AI Studio: The fastest way to go from prompt to production https://aistudio.google.com/?utm_source=peteryang&utm_medium=partner&utm_campaign=26Q3-peteryang_ais
Riverside: All-in-one AI studio for podcasts and video
https://creators.riverside.com/PeterYang
📌 Get my personal AI OS with useful AI skills, $270 in AI tool credits, live monthly workshops, and courses on Hermes and Codex agents: https://www.behindthecraft.com/
Where to find Jason:
X: https://x.com/jxnlco
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How I Plan, Build, and Run Loops with Claude Code in 40 Minutes | Thariq Shihipar
Thariq works on the Claude Code team, and I’ve wanted to see how he builds for a long time. In our episode, he showed how to use /goal to keep Claude working, how he plans with Claude to remove unknowns before …
Notes de l’épisode
Thariq works on the Claude Code team, and I’ve wanted to see how he builds for a long time. In our episode, he showed how to use /goal to keep Claude working, how he plans with Claude to remove unknowns before building, and how he runs a team of agents in Slack. He also shared why his team cut Claude Code’s system prompt by 80% and how he creates polished launch videos with Claude.
Thariq and I talked about:
(00:00) Goals, loops, and workflows to make Claude work longer
(04:48) Live demo: Creating a polished video with one prompt
(08:17) Plan by removing unknowns before you build
(14:32) How Anthropic uses HTML artifacts for planning
(18:35) Running parallel Claude tasks through Slack
(27:34) Using separate creator and verifier sub-agents
(31:08) How Thariq stays focused while Claude works in parallel
(34:07) Why Anthropic cut Claude Code’s system prompt by 80%
(37:01) How to become more technical when AI writes the code
Thanks to our sponsors:
Riverside: All-in-one AI studio for podcasts and video https://creators.riverside.com/PeterYang
Linear: The AI agent platform for modern teams https://linear.app/behind-the-craft
Wispr Flow: 4x faster than typing with your voice https://ref.wisprflow.ai/peteryang
📌 Get the takeaways: https://creatoreconomy.so/p/how-i-plan-build-and-run-loops-with-claude-code-thariq-shihipar
📌 Get my personal AI OS with useful AI skills, $270 in AI tool credits, live monthly workshops, and courses on Hermes and Codex agents: https://www.behindthecraft.com/
Where to find Thariq:
LinkedIn: https://x.com/trq212
Website: https://www.thariq.io/
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How to Build AI Agents That Check Their Own Work | Jared Zoneraich
Jared is a Builder in Residence at Cognition, the team behind Devin. He showed me why teams often overbuild their first agents, and how simple prompts, better tools, and self-testing work together instead. Then …
Notes de l’épisode
Jared is a Builder in Residence at Cognition, the team behind Devin. He showed me why teams often overbuild their first agents, and how simple prompts, better tools, and self-testing work together instead. Then he demoed one manager agent breaking down a task, directing 10 cloud agents, and deciding what a human needs to review.
Jared and I talked about:
(00:00) Why teams overbuild their first AI agent
(02:50) Let the model cook before adding rules
(03:16) Why tools matter more than better prompts
(10:51) Why you should build evals after shipping
(16:06) What cloud agents can do that local agents can’t
(20:30) How to get one agent to manage other agents
(25:39) Demo: One agent launches a team of 10
(28:03) How agents prove their work before you review it
(33:18) The best tasks for agent teams to work on
Thanks to our sponsors:
Riverside: All-in-one AI studio for podcasts and video https://creators.riverside.com/PeterYang
Linear: The AI agent platform for modern teams https://linear.app/behind-the-craft
Wispr Flow: 4x faster than typing with your voice https://ref.wisprflow.ai/peteryang
📌 Get the takeaways: https://creatoreconomy.so/p/how-to-build-ai-agents-that-check-their-own-work-jared-cognition-devin
📌 Get my personal AI OS with useful AI skills, $270 in AI tool credits, live monthly workshops, and courses on Hermes and Codex agents: https://www.behindthecraft.com/
Where to find Jared:
X: https://x.com/imjaredz
Devin: https://devin.ai
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OpenAI PM Reveals How He Uses Codex to Do Product Work | Rohan Varma
As a product manager for OpenAI Codex, Rohan has a firsthand look at how one of the most AI-native teams in the world operates. He showed me how he uses Codex to trigger work from Slack replies, prototype …
Notes de l’épisode
As a product manager for OpenAI Codex, Rohan has a firsthand look at how one of the most AI-native teams in the world operates. He showed me how he uses Codex to trigger work from Slack replies, prototype designs with image generation, replace stale PRDs with live project sites, and more. Watch this episode if you’re tired of all the nonsense around “AI-native PM” and want to see how a real one actually operates.
Rohan and I talked about:
(00:00) Codex can do more than you think
(01:53) Use Codex to pull context from Slack, docs, Linear, and email
(03:28) How Codex flips planning from docs to demos
(13:14) Demo: Do the task once with Codex, then automate it
(14:30) Demo: Trigger Codex automations from Slack replies
(17:26) Demo: Use Image Gen to explore design variants fast
(19:58) Demo: Turn any Codex thread into a reusable skill
(29:55) Demo: Turn project context into a shareable Site
(33:33) Use one Codex thread to manage other Codex threads
(37:18) Aim 10x more ambitious than feels reasonable
Thanks to our sponsors:
Linear: The AI agent platform for modern teams https://linear.app/behind-the-craft
Wispr Flow: 4x faster than typing with your voice https://ref.wisprflow.ai/peteryang
Riverside: All-in-one AI studio for podcasts and video https://creators.riverside.com/PeterYang
📌 Get the takeaways: https://creatoreconomy.so/p/openai-pm-reveals-how-he-uses-codex-for-product-work-rohan-varma
📌 Get my personal AI OS with useful AI skills, $270 in AI tool credits, live monthly workshops, and courses on Hermes and Codex agents: https://www.behindthecraft.com/
Where to find Rohan:
LinkedIn: https://www.linkedin.com/in/rohannvarma
X: https://x.com/TheRohanVarma
Codex: https://openai.com/codex/
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Inside Anthropic’s Bet on Claude Agents that Work While You Sleep | Jess Yan
As product lead at Anthropic, Jess has a first-hand look at how Anthropic teams are moving from prompting AI to building long-running agents that work overnight. In our episode, Jess showed me how to build a …
Notes de l’épisode
As product lead at Anthropic, Jess has a first-hand look at how Anthropic teams are moving from prompting AI to building long-running agents that work overnight. In our episode, Jess showed me how to build a Claude analytics agent from scratch, then covered how Anthropic PMs use agents internally to understand the codebase, monitor customer feedback, and make better product decisions.
Jess and I talked about:
(00:00) AI agents that work while you sleep
(03:46) Claude Managed Agents help for long-running tasks
(05:22) Demo: Building a Claude analyst agent from scratch
(09:28) Traces: How to see where an agent got stuck
(15:08) Evals: How agents grade their own work
(20:16) 5 ways in which Anthropic PMs use agents internally
(28:06) Processing a 4,000-company waitlist with agents
(32:47) To build your first agent, focus on helping one person
(36:47) What changes when agents can work overnight
Thanks to our sponsors:
Linear: The AI agent platform for modern teams https://linear.app/behind-the-craft
Wispr Flow: 4x faster than typing with your voice https://ref.wisprflow.ai/peteryang
Riverside: All-in-one AI studio for podcasts and video https://creators.riverside.com/PeterYang
📌 Get the takeaways: https://creatoreconomy.so/p/inside-anthropics-bet-on-claude-agents-jess-yan
📌 Get my personal AI operating system with all my skills and prompts: https://www.behindthecraft.com/
Where to find Jess:
X: https://x.com/jess__yan
Website: https://platform.claude.com/docs/en/managed-agents/overviewSubscribe to this channel - more interviews coming soon!
Full Tutorial: Make Professional Launch Videos for Free with Hyperframes | Bin Liu & Jake Moran
Bin and Jake built HyperFrames, HeyGen’s free open-source tool that turns HTML into professional product launch videos. In this episode, they shared how you can one-shot a launch video for any website. Jake …
Notes de l’épisode
Bin and Jake built HyperFrames, HeyGen’s free open-source tool that turns HTML into professional product launch videos. In this episode, they shared how you can one-shot a launch video for any website. Jake also walked through his personal playbook to make amazing videos with AI — from storyboarding to reusing components to polish.
We talked about:
(00:00) From HTML to professional video with AI
(02:37) How to install HyperFrames in Codex or Claude Code
(04:50) Demo: Make a launch video in one shot from Spotify.com
(10:47) Jake’s workflow to level up AI videos
(13:06) frame.md: Turn brand guidelines into video direction
(15:05) storyboard.md: Write the story before building scenes
(17:31) HyperFrames launches: Reuse HeyGen’s real components
(20:17) Get AI to generate static frames for review before rendering
(22:46) Studio: Make visual edits and final polish
Thanks to our sponsors:
Linear: The AI agent platform for modern teams https://linear.app/behind-the-craft
Wispr Flow: 4x faster than typing with your voice https://ref.wisprflow.ai/peter-yang-jun21-pod
Riverside: All-in-one AI studio for podcasts and video https://creators.riverside.com/PeterYang
📌 Get the takeaways: https://creatoreconomy.so/p/full-tutorial-make-professional-launch
📌 Get my personal AI operating system with all my skills and prompts: https://www.behindthecraft.com/
Where to find Bin and Jake:
Bin: https://x.com/liu8in
Jake: https://x.com/JakeFromHeyGen
HyperFrames: https://github.com/heygen-com/hyperframes
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Agentic Engineering, Clearly Explained in 50 Min | Matt Van Horn
Matt has no CS degree, doesn’t know how to code, and doesn’t even read the plans that AI writes. Despite this, he’s built an incredible open source track record with projects like last30days (#1 trending on …
Notes de l’épisode
Matt has no CS degree, doesn’t know how to code, and doesn’t even read the plans that AI writes. Despite this, he’s built an incredible open source track record with projects like last30days (#1 trending on GitHub with 40K+ stars) and Printing Press (a tool that lets agents use any website or app). Matt has been a huge inspiration for my AI builder journey, and I think you’ll feel the same after watching our conversation.
Matt and I talked about:
(00:00) "I don't read code and the plans are for AI"
(01:19) Compound Engineering: Matt’s go-to agentic loop
(07:07) How Matt builds without a CS degree or reading code
(11:18) Printing Press: Turning any website into an agent CLI
(15:38) How Printing Press finds hidden APIs and GitHub projects
(22:44) Why CLI + skill beats MCP for agent workflows
(32:49) How Matt contributes to Python, Go, and other top repos
(44:28) Why Matt is still afraid to launch finished projects
Thanks to our sponsors:
Linear: The AI agent platform for modern teams https://linear.app/behind-the-craft
Wispr Flow: 4x faster than typing with your voice https://ref.wisprflow.ai/peteryang
Riverside: All-in-one AI studio for podcasts and video https://creators.riverside.com/PeterYang
📌 Get the takeaways: https://creatoreconomy.so/p/the-ai-agent-system-behind-this-non-technical-founder-matt-van-horn
📌 Get my personal AI operating system with all my skills and prompts: https://www.behindthecraft.com/
Where to find Matt:
X: https://x.com/mvanhorn
GitHub: https://github.com/mvanhorn
Printing Press: https://printingpress.dev
last30days: https://github.com/mvanhorn/last30days-skill
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How This Ex-Meta L8 Engineer Ships 40 PRs a Day with AI Agents | Kun Chen
Kun is an ex-L8 principal engineer at Meta and Microsoft who now ships 40 PRs a day without manually reviewing code. In our episode, he walked through the free tools he built to make that possible: Lavish for …
Notes de l’épisode
Kun is an ex-L8 principal engineer at Meta and Microsoft who now ships 40 PRs a day without manually reviewing code. In our episode, he walked through the free tools he built to make that possible: Lavish for visual planning in HTML artifacts, Treehouse for parallel agents, and No Mistakes for catching AI coding errors before they make it to production.
Kun and I talked about:
(00:00) Why he doesn't review code anymore
(01:04) Agentic engineering: Plan, code, validate
(06:22) Demo: Fixing an AI tutor screen with agents
(08:40) Demo: Why HTML is better than markdown for planning
(19:53) How to turn a rough idea into an AI-ready spec
(23:21) How Kun runs 20-30 agents in parallel
(32:04) No Mistakes: Kun's free AI code review tool
(45:19) What Kun checks before merging AI-written code
(50:18) How to get better at agentic engineering
Thanks to our sponsors:
Linear: The AI agent platform for modern teams https://linear.app/behind-the-craft
Wispr Flow: 4x faster than typing with your voice https://ref.wisprflow.ai/peteryang
Riverside: All-in-one AI studio for podcasts and video https://creators.riverside.com/PeterYang
📌 Get the takeaways: https://creatoreconomy.so/p/how-this-ex-meta-l8-engineer-ships-40-prs-a-day-with-ai-kun-chen
📌 Get my personal AI operating system with all my skills and prompts: https://www.behindthecraft.com/
Where to find Kun:
GitHub: https://github.com/kunchenguid
X: https://x.com/kunchenguid
Kun's free tools from the episode:
Lavish (HTML editor): https://github.com/kunchenguid/lavish-axi
Treehouse: https://github.com/kunchenguid/treehouse
No Mistakes (AI code review): https://github.com/kunchenguid/no-mistakes
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The Exact AI Skills This Solo Founder Uses to Build 5 Apps at Once | Josh Pigford
Josh sold his last startup for $4M and is now building 5 products solo with agents. He showed me his exact AI skills stack, including a 4-step /build skill, an /adversarial-code-review skill where he pits Opus …
Notes de l’épisode
Josh sold his last startup for $4M and is now building 5 products solo with agents. He showed me his exact AI skills stack, including a 4-step /build skill, an /adversarial-code-review skill where he pits Opus against GPT, a /but-for-real skill that makes the AI catch its own mistakes, and a /learnings skill that improves AI’s output over time. Josh has been a solo builder for 25 years and it was fascinating to watch how he works.
Josh and I talked about:
(00:00) Why launching fast beats months of planning
(01:02) A tour of the 5 AI products Josh built solo
(05:22) /build skill: Research, plan, track, implement
(10:52) /adversarial-code-review skill: Getting GPT to review Opus' code
(16:02) /learnings skill: Make AI update its own CLAUDE.md
(16:47) /but-for-real skill: Make AI fix its own mistakes
(19:11) Live demo: How to design non AI slop websites
(28:55) Advice for builders without technical experience
Thanks to our sponsors:
Oceans: Hire AI-native EAs http://oceanstalent.com/peter
Wispr Flow: Don't type, just speak https://ref.wisprflow.ai/peteryang
Linear: The AI agent platform for modern teams. https://linear.app/behind-the-craft
Get the takeaways: https://creatoreconomy.so/p/the-exact-ai-skills-this-solo-founder-uses-josh-pigford
Get my personal AI operating system with all my skills and prompts: https://www.behindthecraft.com/
Where to find Josh:
X: https://x.com/Shpigford
Website: https://initialcommit.co/Subscribe to this channel — more interviews coming soon!
How This 5x Founder Runs His Startup Solo With AI Agents (OpenClaw, Codex, Devin) | Ryan Carson
Ryan is a serial founder who’s building his latest startup solo with only AI agents. It was fascinating to watch him demo the exact skills and routines he uses to get OpenClaw, Codex, and Devin to manage his …
Notes de l’épisode
Ryan is a serial founder who’s building his latest startup solo with only AI agents. It was fascinating to watch him demo the exact skills and routines he uses to get OpenClaw, Codex, and Devin to manage his inbox and calendar, do sales outreach, and build features while he sleeps.
Ryan and I talked about:
(00:00) Agents are just cron jobs and text markdown files
(02:25) Demo: How Ryan set up OpenClaw to be his AI chief of staff
(08:14) The setting most people get wrong in OpenClaw
(13:46) How to onboard your agent like you would an employee
(17:06) The cron job that books cold meetings while Ryan sleeps
(24:36) Why Ryan prefers Devin over other AI coding tools
(28:33) Demo: How Ryan ships 10 PRs a day solo
(33:08) Google Ads agencies and a $6K/month designer
(37:11) Why building the system is the real startup workThanks to our sponsors:
Oceans: Hire AI-native EAs http://oceanstalent.com/peter
Wispr Flow: Don't type, just speak https://ref.wisprflow.ai/peteryang
Linear: The AI agent platform for modern teams. https://linear.app/behind-the-craft
Get the takeaways: https://creatoreconomy.so/p/how-this-5x-founder-runs-his-startup-solo-with-ai-agents-ryan-carson
Where to find Ryan:
X: https://x.com/ryancarson
Website: https://untangle.us/
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Inside Anthropic: How Claude Actually Gets Built | Alex Albert
Alex is a research PM at Anthropic building the next Claude model. He gave me a rare inside look at how the research team operates — including how they turn user feedback into model training, how they decide …
Notes de l’épisode
Alex is a research PM at Anthropic building the next Claude model. He gave me a rare inside look at how the research team operates — including how they turn user feedback into model training, how they decide which capabilities to prioritize, and how they improve Claude’s personality. If you’re wondering how frontier model development actually works, then this interview is a must watch.
Alex and I talked about:
(00:00) How Anthropic treats each new model as a product
(04:58) Building adaptive thinking into Claude
(07:07) Why Claude is starting to dream
(11:15) "If it's not a one-way door, then it's essentially free"
(15:40) How Alex uses Claude Cowork to pressure test his docs
(17:05) Inside Anthropic's eval process for new models
(21:02) How Anthropic trains Claude's character
(32:39) The consciousness question Anthropic is quietly working on
Thanks to our sponsors:
Oceans: Hire AI-native EAs http://oceanstalent.com/peter
Wispr Flow: Don't type, just speak https://ref.wisprflow.ai/peteryang
Get the takeaways: https://creatoreconomy.so/p/inside-how-anthropic-is-building-the-next-claude
Where to find Alex:
X: https://x.com/alexalbert__
Website: alexalbert.me
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Build a Claude Code Personal OS Step by Step in 40 Minutes | Moritz Kremb
Moritz is an AI founder who built a personal OS in Claude Code to manage his emails, create content, and even buy groceries. In this episode, he walks through everything you need to set up your own: folder …
Notes de l’épisode
Moritz is an AI founder who built a personal OS in Claude Code to manage his emails, create content, and even buy groceries. In this episode, he walks through everything you need to set up your own: folder structure, tools, memory loops, skills, and routines. We also talked about the pros and cons of OpenClaw vs. Claude Code.
Moritz and I talked about:
(00:00) The honest tradeoffs: OpenClaw vs. Claude Code
(09:03) Why Moritz switched to Claude Code
(15:40) The folder structure that runs Moritz's entire OS
(20:03) The memory loop that makes Claude Code remember everything
(23:47) CLI vs. MCP vs. API: which to pick and why it matters
(26:02) Skills walkthrough: automated grocery runs and video uploads
(29:03) Local vs. remote routines (and when to use each)
(31:51) The full content pipeline from idea to posted video
(41:43) Tips to start building your first personal OS
Thanks to our sponsors:
Linear: The AI agent platform for modern teams https://linear.app/behind-the-craft
Wispr Flow: Don't type, just speak https://ref.wisprflow.ai/peteryang
Oceans: Hire AI-native EAs http://oceanstalent.com/peter
Get the takeaways: https://creatoreconomy.so/p/build-a-claude-code-personal-os-step-by-step-moritz
Where to find Moritz:
X: https://x.com/moritzkremb
Website: https://joinagentos.com/
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Everything You Need to Know About Context Engineering in 40 Minutes | Ravi Mehta
Ravi is a top AI instructor and former CPO of Tinder. In our episode, he did a live demo of using his 3-layer context engineering system (functional, visual, data) to build a beautiful music app instead of the …
Notes de l’épisode
Ravi is a top AI instructor and former CPO of Tinder. In our episode, he did a live demo of using his 3-layer context engineering system (functional, visual, data) to build a beautiful music app instead of the usual AI slop. You’ll never build with AI the same way again after learning about Ravi’s approach.
Ravi and I talked about:
(00:00) Why most AI prototypes feel like slop
(01:08) Context engineering, explained from first principles
(05:12) Layer 1 demo: Functional context
(09:38) Layer 2 demo: Visual context
(13:31) Layer 3 demo: Data context
(15:47) Building a custom MCP server in Claude Code
(19:54) The full stack prompt: all 3 layers in one shot
(24:21) Why separating the data layer is the real unlock
(28:59) Should PMs prototype or just ship to production?
(33:51) Where PRDs still fit in AI native product development
Thanks to our sponsors:
Wispr Flow: Don't type, just speak https://ref.wisprflow.ai/peteryang
Linear: The AI agent platform for modern teams https://linear.app/behind-the-craft
Granola: The AI meeting notes app that saves you hours. https://granola.ai/peter
📌 Get the takeaways: https://creatoreconomy.so/p/three-layer-system-for-context-engineering-ravi-mehta
Where to find Ravi:
X: https://x.com/ravi_mehta
Website: https://www.ravi-mehta.com/
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How This Solo AI Founder Bootstrapped 5 Products to 1M+ / Month | Tibo Louis-Lucas
Tibo is a solo founder making $1M+ a month (!) after bootstrapping 5 AI products. I got him to walk through his exact playbook for validating ideas fast, acquiring users, and pricing AI products. If you want to …
Notes de l’épisode
Tibo is a solo founder making $1M+ a month (!) after bootstrapping 5 AI products. I got him to walk through his exact playbook for validating ideas fast, acquiring users, and pricing AI products. If you want to bootstrap an AI business from scratch, this interview is a must watch.
Tibo and I talked about:
(00:00) The right mindset for solo AI founders
(04:48) Tibo's 5-step playbook to reach $1M/month
(09:55) The product pivot that unlocked $600K/month
(13:08) Why you should charge right away
(20:50) The acquisition channel everyone says is dead (it's not)
(26:58) Running 5 businesses without a real team
(36:34) How to price your AI product
(37:20) What's a good churn rate for AI products?
(40:16) 9 products failed. The 10th hit $600K/month
Thanks to our sponsors:
Wispr Flow: Don't type, just speak https://ref.wisprflow.ai/peteryang
Linear: The AI agent platform for modern teams https://linear.app/behind-the-craft
Granola: The AI meeting notes app that saves you hours. https://granola.ai/peter
📌 Get the takeaways: https://creatoreconomy.so/p/how-this-solo-founder-bootstrapped-to-1m-a-month-tibo-louis-lucas
Where to find Tibo:
X: https://x.com/tibo_maker
Website: https://www.revid.ai/
Subscribe to this channel — more interviews coming soon!
How to Build for AI Agents and a Claude Code Second Brain in 25 Min | Ryan Wiggins
Ryan is the VP of Product at Mercury, my favorite fintech product. We covered three things that’s on every AI builder’s mind — how to build a Claude Code second brain, how to make your product agent-ready with …
Notes de l’épisode
Ryan is the VP of Product at Mercury, my favorite fintech product. We covered three things that’s on every AI builder’s mind — how to build a Claude Code second brain, how to make your product agent-ready with APIs and MCPs, and what Mercury’s data reveals about OpenAI and Anthropic’s race for the enterprise.
Ryan and I talked about:
(00:00) Why APIs and MCPs are the primary interface
(04:40) How to get your product agent ready
(07:51) Will MCPs cannibalize your app DAU?
(10:36) How to decide between MCPs and CLIs
(13:10) Inside Ryan's Claude Code second brain
(18:40) Getting AI to coach you after every meeting
(20:46) Mercury data: Are startups switching to Anthropic?
(23:05) The product development process will never be the same
Thanks to our sponsors:
Wispr Flow: Don't type, just speak https://ref.wisprflow.ai/peteryang
Linear: The AI agent platform for modern teams https://linear.app/behind-the-craft
Granola: The AI meeting notes app that saves you hours. https://granola.ai/peter
Get the takeaways: https://creatoreconomy.so/p/how-to-build-for-ai-agents-and-a-claude-code-second-brain
Where to find Ryan:
X: https://x.com/rywiggs
Website: https://mercury.com
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