Behind the Craft

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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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!

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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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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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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