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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: X: https://x.com/APompliano Silvia: https://www.cfosilvia.com/ Subscribe to this channel - more interviews coming soon!

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: X: https://x.com/Rasmic YouTube: https://www.youtube.com/@RasMic Skills: https://github.com/michaelshimeles/skills Subscribe to this channel - more interviews coming soon!

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: X: https://x.com/samstphenson LinkedIn: https://www.linkedin.com/in/stephensonsam/ Subscribe to this channel - more interviews coming soon!

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: X: https://x.com/pengzheng_ Website: https://www.pengzhe.ng/ Where to find Lauren Tan: X: https://x.com/poteto Dr. Eggbot: https://x.ai/bot/marketplace/bots/dr-eggbot-v2 Subscribe to this channel - more interviews coming soon!

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/ Subscribe to this channel — more interviews coming soon!

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: X: https://x.com/pedroh96 LinkedIn: https://www.linkedin.com/in/pfranceschi/ Subscribe to this channel - more interviews coming soon!

📌 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 Subscribe to this channel - more interviews coming soon!

📌 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 Subscribe to this channel - more interviews coming soon!

📌 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/ Subscribe to this channel - more interviews coming soon!

📌 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/ Subscribe to this channel - more interviews coming soon!

📌 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 Subscribe to this channel - more interviews coming soon!

📌 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 Subscribe to this channel - more interviews coming soon!

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 Subscribe to this channel - more interviews coming soon!

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/ Subscribe to this channel - more interviews coming soon!

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 Subscribe to this channel - more interviews coming soon!