
Hosted by Peter Yang · EN

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 codeThanks to our sponsors:Riverside: All-in-one AI studio for podcasts and video https://creators.riverside.com/PeterYangLinear: The AI agent platform for modern teams https://linear.app/behind-the-craftWispr 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/trq212Website: 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 onThanks to our sponsors:Riverside: All-in-one AI studio for podcasts and video https://creators.riverside.com/PeterYangLinear: The AI agent platform for modern teams https://linear.app/behind-the-craftWispr 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/imjaredzDevin: https://devin.aiSubscribe to this channel - more interviews coming soon!

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 reasonableThanks to our sponsors:Linear: The AI agent platform for modern teams https://linear.app/behind-the-craftWispr Flow: 4x faster than typing with your voice https://ref.wisprflow.ai/peteryangRiverside: 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/rohannvarmaX: https://x.com/TheRohanVarmaCodex: https://openai.com/codex/Subscribe to this channel - more interviews coming soon!

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 overnightThanks to our sponsors:Linear: The AI agent platform for modern teams https://linear.app/behind-the-craftWispr Flow: 4x faster than typing with your voice https://ref.wisprflow.ai/peteryangRiverside: 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__yanWebsite: 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 polishThanks to our sponsors:Linear: The AI agent platform for modern teams https://linear.app/behind-the-craftWispr 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/liu8inJake: https://x.com/JakeFromHeyGenHyperFrames: https://github.com/heygen-com/hyperframesSubscribe to this channel - more interviews coming soon!

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 projectsThanks to our sponsors:Linear: The AI agent platform for modern teams https://linear.app/behind-the-craftWispr Flow: 4x faster than typing with your voice https://ref.wisprflow.ai/peteryangRiverside: 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/mvanhornGitHub: https://github.com/mvanhornPrinting Press: https://printingpress.devlast30days: https://github.com/mvanhorn/last30days-skillSubscribe to this channel - more interviews coming soon!

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 engineeringThanks to our sponsors:Linear: The AI agent platform for modern teams https://linear.app/behind-the-craftWispr Flow: 4x faster than typing with your voice https://ref.wisprflow.ai/peteryangRiverside: 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/kunchenguidX: https://x.com/kunchenguidKun's free tools from the episode:Lavish (HTML editor): https://github.com/kunchenguid/lavish-axiTreehouse: https://github.com/kunchenguid/treehouseNo Mistakes (AI code review): https://github.com/kunchenguid/no-mistakesSubscribe to this channel - more interviews coming soon!

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 experienceThanks to our sponsors:Oceans: Hire AI-native EAs http://oceanstalent.com/peterWispr Flow: Don't type, just speak https://ref.wisprflow.ai/peteryangLinear: The AI agent platform for modern teams. https://linear.app/behind-the-craftGet the takeaways: https://creatoreconomy.so/p/the-exact-ai-skills-this-solo-founder-uses-josh-pigfordGet my personal AI operating system with all my skills and prompts: https://www.behindthecraft.com/Where to find Josh:X: https://x.com/ShpigfordWebsite: 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/peterWispr Flow: Don't type, just speak https://ref.wisprflow.ai/peteryangLinear: The AI agent platform for modern teams. https://linear.app/behind-the-craftGet the takeaways: https://creatoreconomy.so/p/how-this-5x-founder-runs-his-startup-solo-with-ai-agents-ryan-carsonWhere to find Ryan:X: https://x.com/ryancarsonWebsite: https://untangle.us/Subscribe to this channel — more interviews coming soon!

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 onThanks to our sponsors:Oceans: Hire AI-native EAs http://oceanstalent.com/peterWispr Flow: Don't type, just speak https://ref.wisprflow.ai/peteryangGet the takeaways: https://creatoreconomy.so/p/inside-how-anthropic-is-building-the-next-claudeWhere to find Alex:X: https://x.com/alexalbert__Website: alexalbert.me📌 Subscribe to this channel — more interviews coming soon!