Behind the Craft

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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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!

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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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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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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