Behind the Craft

Peter Yang

Expert interviews and guides to help you level up as a product leader and creator fast.

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Sunday · 45 min
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.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!
August 30 · 36 min
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.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!
August 23 · 53 min
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.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!
August 16 · 41 min
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.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!
August 9 · 38 min
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.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!
August 2 · 46 min
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 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!
July 26 · 34 min
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 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!
July 19 · 41 min
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 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!
July 12 · 47 min
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 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!
July 5 · 39 min
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 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/ Subscribe to this channel - more interviews coming soon!
June 28 · 42 min
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 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!
June 21 · 41 min
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 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 Subscribe to this channel - more interviews coming soon!
June 14 · 47 min
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 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 Subscribe to this channel - more interviews coming soon!
June 7 · 56 min
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 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 Subscribe to this channel - more interviews coming soon!
June 6 · 31 min
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 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!
May 24 · 39 min
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 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/ Subscribe to this channel — more interviews coming soon!
May 17 · 35 min
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 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 📌 Subscribe to this channel — more interviews coming soon!
May 10 · 42 min
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 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/ Subscribe to this channel - more interviews coming soon!
May 3 · 38 min
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 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/ Subscribe to this channel — more interviews coming soon!
April 26 · 43 min
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 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!

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