Behind the Craft

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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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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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/

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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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