Behind the Craft

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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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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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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Dylan is the co-founder and CEO of Figma. I asked him some tough questions on whether AI can learn taste, how he plans to compete with AI startups, and whether design systems constrain creativity. Two thirds of Figma users are now non-designers and it was also super interesting to hear Dylan talk about where he’s taking Figma next.

We talked about:

(00:00) Taste, craft, and point of view: the 3 skills AI can't replace

(05:33) Can AI agents actually learn design taste?

(13:02) Figma MCP to go from design to code and back

(17:42) What vibe coding gets wrong about design

(22:17) Two thirds of Figma users are now non-designers

(29:13) The one trait Dylan hires for over AI fluency

(32:01) Why Dylan thinks design is the new code

(36:32) Dylan's personal AI workflow for writing and ideation

Thanks to our sponsors:

Linear: AI agents for modern teams https://linear.app/behind-the-craft

Granola: AI meeting notes that don't suck https://granola.ai/peter

Replit: From 0 to full stack app in 2 min https://replit.com/?utm_source=creator&utm_medium=organic&utm_campaign=creator_program&utm_content=peteryang📌 Get the takeaways: https://creatoreconomy.so/p/figma-ceo-on-how-anyone-can-get-good-at-design-in-ai-dylan-field

Where to find Dylan:

X: https://x.com/zoink

Website: https://github.com/figma/mcp-server-guide

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Alex is the product lead for Codex and Romain runs developer experience. They gave me a rare inside look at how the Codex team operates, including how they build products with Codex and how they ship without traditional specs and roadmaps. Alex also has some spicy takes on the future of PM and what actually matters when hiring.

We talked about:

(00:00) Live demo: Building a game in seconds with Codex Spark

(04:29) "For specs, we write like 10 bullets and that's it"

(08:09) "Our designers now write more code than eng 6 months ago"

(15:30) "We plan short and long term, never medium term"

(22:11) How Alex actually spends his day as Codex PM

(32:06) The traditional career ladder no longer makes sense

(39:20) What the Codex team looks for when hiring (it's not your resume)

Thanks to our sponsors:

Linear: AI agents for modern teams https://linear.app/behind-the-craft

Granola: AI meeting notes that don't suck https://granola.ai/peter

Replit: From 0 to full stack app in 2 min https://replit.com/?utm_source=creator&utm_medium=organic&utm_campaign=creator_program&utm_content=peteryang

📌 Get the takeaways: https://creatoreconomy.so/p/inside-openais-codex-team-how-they-ship-with-ai-agents-alex-romain

Where to find Alex and Romain:

Alex: https://x.com/embirico

Romain: https://x.com/romainhuet

Website: https://openai.com/codex/

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Jenny is the head of design for Claude. She gave me a rare inside look at how Anthropic operates — including how she uses Cowork to design and build products and the real story behind how Cowork was built. Anthropic is shipping new features almost everyday and it was fascinating to see how they do it.

Jenny and I talked about:

(00:00) How design work has changed at Anthropic

(04:30) "My secret is that I actually use Co-work for most things now"

(05:19) Cowork demo: From messy user feedback into product insights

(14:41) "Every Monday Cowork gives me 3 vetted product ideas"

(23:09) The real story behind Cowork's development (10 days?)

(27:18) Exclusive look: Cowork prototypes that didn't ship

(34:01) How product planning works at Anthropic

(38:10) "If you feel like the ground is shifting, it's because it is."

Thanks to our sponsors:

Linear: AI agents for modern teams https://linear.app/behind-the-craft

Granola: AI meeting notes that don't suck https://granola.ai/peter

Replit: From 0 to full stack app in 2 min https://replit.com/?utm_source=creator&utm_medium=organic&utm_campaign=creator_program&utm_content=peteryang

📌 Get the takeaways: https://creatoreconomy.so/p/inside-anthropic-claude-cowork-tutorial-jenny-wen

Where to find Jenny:

X: https://x.com/jenny_wen

Website: https://jennywen.ca/

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Felix is an expert at using Claude Code and Figma MCP to design and build apps. Watch as he demos how you can build apps that look exactly like their Figma designs, build a game from a FigJam flow cart, and convert code back to Figma components that you can tweak.

Felix and I talked about:

(00:00) 3 products Felix designed and built in Claude Code

(06:36) Building an animated world map from a screenshot

(7:50) Felix's app that analyzes how good your landing page is

(13:17) Demo: Figma design to working website in 15 min

(23:07) Demo: FigJam flowchart to a working game

(31:30) A UX reviewer skill for design feedback

(40:19) How to export code back to Figma as editable designs

(45:10) Why most designers aren't adapting fast enough

Thanks to our sponsors:

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

Replit: From 0 to full stack app in 2 min https://replit.com/?utm_source=creator&utm_medium=organic&utm_campaign=creator_program&utm_content=peteryang

Get the takeaways: https://creatoreconomy.so/p/master-claude-code-figma-mcp-for-design-felix-lee

Where to find Felix:

X: https://x.com/felixleezd

Website: https://adplist.org/

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Geoff is the CPO of Ramp and runs one of the most AI-native orgs I’ve seen. He showed me an amazing Claude Code PM skill that his team uses to go from idea to product and shared live demos of Ramp’s internal AI agents for customer research, data analysis, and more. Geoff also shared 5 specific tactics Ramp followed to go from barely anyone using AI to non-engineers shipping production code.

Geoff and I talked about:

(00:00) "If you're not using Claude Code, you're probably underperforming"

(04:45) Voice of customer agent (demo): 8 days of research in 8 minutes

(07:57) Analyst agent (demo): Get insights and pull data using English

(13:08) The best Claude Code PM skill I've ever seen

(15:20) "50% of Ramp's code is written AI. It'll probably be 80% soon."

(16:38) Inspect agent (demo): Building a production feature in 5 min

(28:21) The two directions the PM role is splitting into

(34:05) Ramp's L0-L3 framework for getting every employee to build with AI

(36:36) The AI interview question Ramp asks every PM candidate

(39:15) "Management is probably dead...optimize to be the best builder in the world."

Thanks to our sponsors:

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

Replit: From 0 to full stack app in 2 min https://replit.com/?utm_source=creator&utm_medium=organic&utm_campaign=creator_program&utm_content=peteryang

Get the takeaways and the PM skill: https://creatoreconomy.so/p/inside-ramp-the-32b-company-ai-agents-geoff-charles

Where to find Geoff:

X: https://x.com/geoffintech

Website: https://ramp.com/📌 Subscribe to this channel – more interviews coming soon!

Tom is the CEO of Pencil, one of the coolest AI design tools that I’ve ever tried. Watching 6 AI agents design a beautiful app in real-time will genuinely blow your mind. Tom showed me how it all works under the hood (a simple JSON file?!) and how you can use Pencil to design right where you code in Cursor, Claude Code, and more.

Tom and I talked about:

(00:00) Watch 6 AI agents design an app together

(03:09) Demo: Designing a travel app with an AI agent swarm

(08:20) Redesigning screens in different styles on the fly

(13:20) The Pencil extension that turns Cursor into a design tool

(15:07) One prompt to go from visual design to React website

(19:00) Using design systems to keep your AI output consistent

(22:02) From side project to 100K users in 8 weeks

(27:44) Why vibe coding reminds Tom of the Flash era

(30:05) Humanizing AI with cursors, craft, and personality

Thanks to our sponsors:

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

Replit: From 0 to full stack app in 2 min https://replit.com/?utm_source=creator&utm_medium=organic&utm_campaign=creator_program&utm_content=peteryang

Get the takeaways: https://creatoreconomy.so/p/i-watched-6-ai-agents-design-an-app-in-real-time-tom-krchaWhere to find Tom:

X: https://x.com/tomkrcha

Website: https://www.pencil.dev/Subscribe to this channel - more interviews coming soon!

Carl has gone deeper on Claude Code than any product leader that I know. He showed me exactly how to connect Claude Code to Google Workspace, Slack, Reddit, and Linear to get work done without opening any of these other apps. Watch as he demos how to prep for meetings, update tickets, and post Slack updates all from the terminal.

Carl and I talked about:(00:00) Why you should connect Claude Code to your apps

(02:01) Google Workspace: Using Claude to prep for meetings

(09:35) Linear: Creating tickets from PRD

(13:16) Slack: Sharing status updates from terminal

(20:04) Reddit: Monitoring subreddit discussions

(21:47) The daily-standup command that pulls from multiple tools

(25:08) The folder setup Carl uses for his Claude Code OS

(33:36) The consult-the-council skill that works with multiple AI agents

(35:50) How to get Claude Code to generate system design diagrams

Thanks to our sponsors:

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

Replit: From 0 to full-stack app in 2 min https://replit.com/?utm_source=creator&utm_medium=organic&utm_campaign=creator_program&utm_content=peteryang

Get the takeaways: https://creatoreconomy.so/p/connect-claude-code-to-google-slack-reddit-carl-vellotti

Where to find Carl:

X: https://x.com/carlvellotti

Website: https://ccforpms.com/

GitHub: https://github.com/carlvellotti/carls-product-os

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Eno is the co-founder of Factory and the most AI-native founder I know. He gave me a live demo of how he builds apps with AI agents, but what really blew my mind was his product management skill that writes PRDs, prioritizes features, and much more. We also had some real talk about competing in the white hot AI coding space.

Eno and I talked about:

(00:00) What makes Droid different from other AI agents

(03:46) Live demo: Building a speed reading app from meeting notes

(08:11) The difference between spec mode and plan mode

(12:04) How real engineers use AI agents vs vibe coders

(16:33) Skills vs MCPs vs hooks: When to use each one

(19:02) Eno's PM skill that completely blew my mind

(22:46) Why Factory hires product engineers vs. PMs

(27:09) How a 40-person team competes with Cursor and Anthropic

Thanks to our sponsors:

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

Replit: From 0 to full stack app in 2 min. https://replit.com/?utm_source=creator&utm_medium=organic&utm_campaign=creator_program&utm_content=peteryang

Get the takeaways: https://creatoreconomy.so/p/full-tutorial-use-ai-agents-for-coding-and-product-eno-reyes

Where to find Eno:

X: https://x.com/EnoReyes

Website: https://factory.ai/

📌 Subscribe to this channel – more interviews coming soon!

Kieran my favorite Claude Code power user and teacher. In our interview, he walked through his Compound Engineering system that makes Claude Code better every time you use it. This same system has been embraced by the Claude Code team and others. Kieran is like Morpheus introducing me to the matrix, so don’t miss this episode 🙂

Kieran and I talked about:

(00:00) The compound engineering loop: Plan, work, assess, compound

(03:40) Live demo: The /workflows command to plan your app

(13:25) How to use Claude Skills as just-in-time context

(25:27) Why you should always ask Claude to ask you questions first

(30:00) Live demo: Using Playwright MCP as your AI QA team

(35:03) Code reviews by AI agents playing security, architect, and more

(40:33) The LFG command: one prompt to go from 0 to production

(46:39) Slash commands vs sub-agents vs skills — when to use each

Get the takeaways: https://creatoreconomy.so/p/how-to-make-claude-code-better-every-time-kieran-klaassen

Where to find Kieran:

X: https://x.com/kieranklaassen

Website: https://cora.computer/

GitHub: https://github.com/EveryInc/compound-engineering-plugin

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Peter is the creator of OpenClaw (formerly Molt - the name keeps changing 😅), the hottest AI right now with 2M visitors in a week. In our interview, Peter shared is personal favorite use cases including using Claw to check in to flights, control his home, and more. We also talked about his hot takes such as no plan mode or MCPs.

Peter and I talked about:

(00:00) “It’s like having a new weird friend that lives on your computer”

(03:43) “It sent me a voice message but I never set that up”

(09:04) How to install OpenClaw in one line

(14:53) “It watched my security camera all night and found this”

(16:07) Using OpenClaw to check in flights, change lights, and adjust his bed

(19:42) Why 80% of your phone apps will disappear

(22:20) Peter’s AI coding hot takes: No plan mode, MCPs suck, and more

(36:56) The way to learn AI is to play

Thanks to our sponsors:

Linear: The AI agent platform for modern teams https://linear.app/behind-the-craft

Granola: The AI meeting notes app that saves you hours. granola.ai/peter

Replit: From 0 to full stack app in 2 min https://replit.com/?utm_source=creator&utm_medium=organic&utm_campaign=creator_program&utm_content=peteryang

📌 Get the takeaways: https://creatoreconomy.so/p/how-openclaws-creator-uses-ai-peter-steinbergerWhere to find Peter:

X: https://x.com/steipete

Website: https://openclaw.ai/

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Logan is the Product Lead for Google AI Studio. I got him to give us an inside look at how he uses AI Studio to build AI Studio (very meta) and how his team ships at startup speed inside Google. AI Studio is the feature that I rely on the most to do my product job better, so don't miss this tutorial.

Logan and I talked about:

(00:00) Tour of Google AI Studio's Build mode

(06:29) Live demo: Building a social media content generator

(09:31) How Logan uses AI Studio to build AI Studio

(11:34) Cloning the AI Studio UI in 68 seconds

(12:58) Getting AI to show you 5-6 design options in one UI

(17:20) Live demo: Building a restaurant finder with Google Maps

(21:12) Using annotate mode to give visual feedback

(34:09) "There's one mode and the mode is we ship fast"

(36:00) What Logan looks for when hiring PMs

Thanks to our sponsors:

Linear: The AI agent platform for modern teams

https://linear.app/behind-the-craftReplit: From 0 to full stack app in 2 min https://replit.com/?utm_source=creator&utm_medium=organic&utm_campaign=creator_program&utm_content=peteryang

📌 Get the takeaways: https://creatoreconomy.so/p/master-google-ai-studio-for-prototyping-logan-kilpatrick

Where to find Logan:

X: https://x.com/OfficialLoganK

Website: https://aistudio.google.com/apps

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Sumeet is the Head of Data at Brex and came personally recommended by the Claude Code team. In our episode, he showed me how to use Claude Code to build a data explorer that lets anyone ask questions and get insights without writing a single SQL query. If you’re tired of analyzing data manually, then this interview is a must-watch.

Summit and I talked about:

(00:00) How to make Claude Code your data analyst

(03:04) Analyzing data with AI: Monitor → Explore → Craft → Impact

(10:23) Live demo: Building a startup funding MCP with 3 queries

(21:10) Context management: Why your data agent gets confused

(26:04) How to connect Claude to Slack and Drive for context

(35:00) Demo: Predicting which AI startups will get Series B funding

(41:32) Brex stats on which AI coding tools are actually winning

Get the takeaways: https://creatoreconomy.so/p/build-an-ai-data-analyst-with-claude-code-sumeet

Where to find Sumeet:

LinkedIn: https://www.linkedin.com/in/smarwaha/

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Tal and Aman are experienced AI PMs so I made us all share our favorite AI product workflows — from writing strategy docs to prototyping with Google AI Studio to building a personal task system with Claude Code. Watch this episode if you want to see 5 real no-BS AI product workflows in 50 minutes.

We talked about:

(00:00) Our best AI workflows for product work

(01:13) Demo 1: Writing strategy docs with Claude Projects

(10:21) Demo 2: Prototyping a new feature with Google AI Studio

(17:10) Demo 3: Building an AI thinking partner with Obsidian + Cursor

(24:06) Demo 4: Managing tasks with Linear MCP

(29:01) Demo 5: Building a personal OS with Claude Code and skills

(40:06) Context engineering 101 from Aman

(48:54) Summary and how you can start today

Thanks to our sponsors:

Korey: The AI Agent for product developmenthttps://www.korey.ai/

Get the takeaways: https://creatoreconomy.so/p/full-course-the-ai-stack-we-use-for-prototyping-strategy-personal-os-aman-tal

Where to find:

Tal: https://www.linkedin.com/in/talsraviv/

Aman: https://www.linkedin.com/in/amanberkeley/

Aman's personal OS Github: https://github.com/amanaiproduct/personal-os

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Teresa is a well-known product coach and author who runs her entire life and business using two Claude Code terminals and a note taking app. It was genuinely mind blowing to watch her use Claude Code to manage her to do list, delegate her research, and write content.

Teresa and I talked about:

(00:00) Why Teresa uses Claude Code to run her life

(03:00) Live demo: The "today" command that builds Teresa's daily to do list

(07:00) Working with Claude Code to brainstorm tasks and ideas

(14:00) Live demo: Writing a blog post together using plan mode

(21:00) How Claude does SEO keyword research for blog posts

(26:00) Why Teresa still writes every word herself (but 10x faster)

(30:00) Pro tips to manage context so Claude doesn't "get dumber"

(36:00) The 3-layer context system: global, project, and reference files

(44:00) 3 tips to get started with Claude Code without feeling overwhelmed

Thanks to our sponsors:

Optimizely: The agent orchestration platform for marketing https://www.optimizely.com/ai/

Get the takeaways: https://creatoreconomy.so/p/build-your-personal-os-with-claude-code-teresa-torres

Where to find Teresa:

LInkedIn: https://www.linkedin.com/in/teresatorres/

Website: https://www.producttalk.org/

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Yana is Head of AI at Amplitude and a good friend. We had some real talk about how to stay scrappy inside a big company, including how to avoid decision by committee and endless internal debates. Yana also demoed her favorite AI workflows to triage her emails and aggregate customer feedback. I think you’ll love our banter 😅

Yana and I talked about:

(00:00) "By the time you've debated 2 ideas, I've already shipped 10"

(03:21) Think "how would I run this company?" not "what's my job?"

(05:22) Why we banned decisions by committee

(08:25) Cross-functional now means doing the work, not coordinating it

(11:22) Why frustrated users can become your biggest advocates

(15:19) Live demo: Using ChatGPT Atlas to triage emails and defuse emotional ones

(24:38) AI is still terrible at prompting (and what you can do about it)

(28:48) Live demo: Combining qualitative feedback with quantitative data

(37:38) Why AI analytics is lagging (and what needs to change)

Thanks to our sponsors:

Optimizely: The agent orchestration platform for marketing https://www.optimizely.com/ai/

Get the takeaways: https://creatoreconomy.so/p/a-founders-playbook-for-shipping-10x-faster-with-ai-yana-welinder

Where to find Yana:

X: https://x.com/yanatweets

Website: https://amplitude.com/ai-feedback?utm_campaign=fy25q4-ai-feedback-launch&utm_source=newsletter&utm_medium=organic-social&utm_content=creator-economy

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As VP of Alexa, Daniel builds product for 600M Alexa devices. He had a great answer to my tough question: “Why has it taken so long to add AI to Alexa?” and then gave a live demo of what an AI-powered Alexa looks like. We also had a great chat about how to apply Amazon’s working backwards process to build useful AI products.

Daniel and I talked about:

(00:00) The real reason Amazon delayed adding AI to Alexa

(03:21) Live demo: Alexa uses AI to book Warriors tickets under $100

(09:21) Which AI model(s) power Alexa behind the scenes?

(11:50) How to build AI products using Amazon's PR/FAQ process

(18:30) Speed vs quality: When to ship fast vs when to wait

(23:00) Why Amazon pairs "invent" and "simplify" together

(26:00) The future of AI voice assistants beyond your home

Thanks to our sponsors:

Amplitude: See all your feedback in one place https://amplitude.com/ai-feedback?utm_campaign=fy25q4-ai-feedback-launch&utm_source=newsletter&utm_medium=organic-social&utm_content=creator-economy

Linear: The best platform for AI agents https://linear.app/partners/behind-the-craft

Get the takeaways: https://creatoreconomy.so/p/an-inside-look-at-what-alexa-can-do-with-ai

Where to find Daniel:

X: https://www.linkedin.com/in/danielrausch/

Website: http://alexa.amazon.com/📌 Subscribe to this channel – more interviews coming soon!

Xinran is a top AI instructor who has taught 100s of product teams how to design and prototype with AI. He shared 5 practical techniques to avoid generating AI slop — from side-by-side exploration to reverse prompting to component libraries — that you can start trying today. If you want to level up on AI prototyping, this is a must watch.

Xinran and I talked about:

(00:00) The 5 gaps in vibe coding that lead to generic designs

(04:28) [Step 1] Custom GPT generates perfect specs before prompting

(12:04) [Step 2] Magic Patterns canvas for side-by-side iteration tracking

(15:56) [Step 3] Inspiration command generates 4 unique designs instantly

(20:45) [Step 4] Mix-match components across prototypes with Subframe

(24:10) [Step 5] Toggle between AI mode and manual design editing

(28:34) Reverse prompting: Make AI extract your design system

(32:19) Pair component libraries with instructions to avoid AI slop

Get the takeaways: https://creatoreconomy.so/p/a-proven-5-step-system-to-prototype-apps-with-ai-xinran-ma

Where to find Xinran:

Newsletter: https://designwithai.substack.com

LinkedIn: https://www.linkedin.com/in/davidmaxinran/

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Tanay is the CEO and co-founder of Wispr Flow, my favorite app to dictate to AI 10x faster than typing. I asked him to do a live tutorial on how to get the most out of AI voice dictation, how his brain-to-text device reads your thoughts without speaking, and how he built an AI product that has 70% annual retention (unheard of!) by NOT focusing on ARR.

Tanay and I talked about:

(00:00) Why typing 5 hours a day is killing your productivity

(06:29) Live tutorial: Using voice to draft emails, write code, and more

(09:19) The brain-to-text device that reads your thoughts without speaking

(16:24) How to teach Wispr Flow your writing style across every app

(22:05) Why Tanay studies gaming instead of software for inspiration

(29:03) "I told my board: We're killing ARR as our North Star metric"

(31:36) Why "agents" is the dumbest term in AI (and what matters instead)

(35:55) What motivated young Tanay to steal his mom's laptop to code

Thanks to our sponsors:

Bolt: Create stunning apps and website with AI https://bolt.fyi/peter-yang

Linear: The best platform for agents https://linear.app/partners/behind-the-craft

Get the takeaways: https://creatoreconomy.so/p/full-tutorial-how-to-use-voice-ai-to-write-and-code-faster-wispr-flow-tanay

Where to find Tanay:

LinkedIn: https://www.linkedin.com/in/tankots/

Get Wispr Flow: https://ref.wisprflow.ai/peter-yang

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As the head of design at Cursor, Ryo is at the cutting edge of designers who ship code instead of mocks. He showed me how he built a retro OS with AI and did a live demo of adding a new feature using Cursor’s new agent mode. We also covered how to avoid AI design slop and how the Cursor team reached $29B valuation without full-time PMs.

Ryo and I talked about:

(00:00) Why designers should go directly to code

(02:06) Building a retro calculator app in one shot with plan mode

(08:04) How Ryo manages multiple AI agents at once in Cursor

(15:18) How Cursor builds without PMs and who does the PM work instead

(16:43) How to avoid creating purple AI design slop (it’s not prompting)

(20:01) Inside RyOS: A beautiful retro operating system built with AI

(30:22) How to turn vague ideas into detailed specs with Cursor

(37:47) The fastest way for PMs and designers to learn Cursor

Thanks to our sponsors:

Reforge: AI prototyping tool for product builders - https://reforge.com/peter

Linear: The best platform for AI agents - https://linear.app/partners/behind-the-craft

Get the takeaways: https://creatoreconomy.so/p/design-to-code-with-cursor-head-of-design-ryo-luWhere to find Rio:

X: https://x.com/ryolu_

Website: https://ryo.lu/

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Ami is the one of my favorite product leaders, period. In my new episode, she breaks down why shipping fast beats the best strategy, how to build simple products that win, how to ask AI for brutally honest feedback, and more. Ami led product at Faire and WhatsApp, but above all she just has great, practical advice for all builders.

Ami and I talked about:

(00:00) Why perfect strategy + poor execution = a waste of time

(05:21) The ChatGPT prompt to get brutally honest feedback

(11:19) Do the simple thing first (build for the most tired person)

(16:51) The one question Ami asks to test every product decision

(25:35) Why your annual plan is probably a waste of time

(32:40) How to short-circuit slow approval processes as a PM

(36:47) Ami's Monday ritual to protect her calendar for deep work

(42:01) The future of PM: Jack-of-all-trades utility players

(46:36) Parenting in the AI era and how to teach resilience

Thanks to our sponsors:

Composio: Use AI to take action across 500 apps https://getrube.link/peter

Linear: Try the platform for AI agents https://linear.app/partners/behind-the-craft

Get the takeaways: https://creatoreconomy.so/p/7-counterintuitive-lessons-from-whatsapp-head-of-product-ami-vora

Where to find Amy:

LinkedIn: https://www.linkedin.com/in/amvora/

Newsletter: https://amivora.substack.com/📌 Subscribe to this channel – more interviews coming soon!

Colin has taught 1000s of students how to build SaaS apps with AI. In this episode, he showed me exactly why my vibe coded prototype was insecure and how to convert it into a real SaaS app with auth, payments, and more. If you want to learn to build SaaS apps in 40 minutes with Cursor and Claude Code, then this episode is for you.

Colin and I talked about:

(00:00) The 7 components that every real SaaS app needs

(01:44) Client, server, database: What most prototypes miss

(08:57) Live demo: Adding Stripe, auth, and databases to my photo app

(16:45) Why starting with templates beats prompting from scratch

(20:30) The Supabase security flaw in most vibe coded apps

(25:35) Why AI shouldn't touch your database directly

(35:00) 4-steps to ship a real SaaS app that people will pay for

(38:15) Why tech credentials no longer matter (and what does instead)

Thanks to our sponsors:

Composio: Use AI to take action across 500 apps https://getrube.link/peter

Linear: Try the platform for AI agents https://linear.app/partners/behind-the-craft

Get the takeaways: https://creatoreconomy.so/p/full-tutorial-turn-your-prototype-into-a-real-saas-app-ai-colin-matthews

Where to find Colin:

LinkedIn: https://www.linkedin.com/in/colinmatthews-pm/

Course: https://maven.com/tech-for-product/vibe-code-your-next-side-project

📌 Subscribe to this channel – more interviews coming soon!

Wade is the co-founder and CEO of Zapier. We’re both sick of everyone calling everything an “AI agent” so we had some real talk about what actually works instead. Wade gave me a practical demo of his AI workflow that triages 100+ emails to 10 and shared exactly how to find automation opportunities on your calendar.

Wade and I talked about:

(00:00) Why most people asking for agents actually want workflows

(01:25) The AI automation spectrum explained with real examples

(05:16) Live demo: Wade's email agent that triages 100+ emails down to 10

(13:27) The difference between APIs vs MCPs

(18:52) Making Zapier AI-first: Why the CEO memo isn’t enough

(24:08) Wade's response to AI influencers saying "RIP Zapier"

(32:09) How Zapier tests for AI fluency in job interviews

(35:31) How to identify what to automate with AI in your calendar

This episode is brought to you by Vellum.Use the code AIAGENTS25 to get 25% off your first 3 months with Vellum: https://vellum.ai/?utm_source=podcast&utm_medium=paid&utm_campaign=PeterYangPodcast

📌 Get my top 10 takeaways: https://creatoreconomy.so/p/ai-agents-clearly-explained-in-40-minutes-zapier-wade-foster

Where to find Wade:

X: https://x.com/wadefoster

Website: https://zapier.com

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Today, I want to share a new episode with Ryan Carson.Ryan is a serial founder who has developed an amazing 3-file system to vibe code without frustration that has 5,000+ stars on Github. In our interview, he demoed adding a new feature to his production app by using AI to create a spec, generate atomic tasks, and build automated tests for each task.

Ryan and I talked about:

(00:00) Why his 3-file AI coding workflow works so well

(03:22) Explaining each file: PRD, atomic tasks, test-driven development

(08:02) Live demo: Building a new feature from scratch

(22:32) How to practice test-driven development to avoid bugs

(34:18) How to get AI to be your tutor to become more technical

(42:03) Pain pills vs vitamins: Why divorce is a great AI business

(45:23) How to start a one-person company with AI's help

Get the takeaways: https://creatoreconomy.so/p/full-tutorial-a-proven-3-file-system-to-vibe-code-production-apps-ryan

Where to find Ryan:

X: https://x.com/ryancarson

Website: https://www.ryancarson.com/

📌 Subscribe to this channel – more interviews coming soon!

Today, I want to share a new episode with Hamel Husain.

Hamel has trained 2,000+ PMs and engineers from companies like OpenAI, Anthropic, and Google on how to run AI evals. In my new episode, he shares a free master class on how to build evals for a real AI agent in just 50 minutes using a simple spreadsheet. I learned a lot from Hamel and I think you will too.

Hamel and I talked about:

(00:00) What the most valuable part of evals is

(01:25) Live walkthrough: Analyzing 100 real production traces

(09:50) Creating the eval criteria using a simple spreadsheet

(24:44) Why binary pass/fail ratings beat 1-5 scores every time

(28:52) The agreement metric trap that fools most PMs

(30:08) True positive and negative rates explained

(36:00) How to set up continuous evals in production

Get the takeaways: https://creatoreconomy.so/p/ai-evaluations-crash-course-in-50-minutes-hamel-husain

Where to find Hamel:

X: https://x.com/HamelHusain

Website: https://hamel.dev/

📌 Subscribe to this channel – more interviews coming soon!

Today, I want to share a new episode with Meaghan Choi.As the design lead for Claude Code, Meaghan not only designs new features but also ships code on a regular basis. She showed me her exact design to code workflow along with her top 3 use cases for Claude Code. This interview is a must-watch if you’re a designer or PM who dreams of shipping to production. Meaghan and I talked about:

(00:00) Why shipping to prod as a designer feels "terrifying and magical"

(02:36) Top 3 design workflows with Claude Code

(07:20) How designers can get engineers to let them ship code

(11:06) Live demo: From Figma design to working code in minutes

(19:10) Custom Claude.md files to make AI work for designers

(22:47) How Anthropic ships features in days, not months

(28:22) Meaghan's favorite Claude Code shortcuts and pro tips

(33:58) The future of design roles in an AI-native worldBrought to you by:

Linear — The operating system for AI agents. Get 6 months free of Linear Business here: https://linear.app/behind-the-craftWhere to find Meaghan:

X: https://x.com/meag_han_c

Website: http://clau.de/peteryang📌 Subscribe to this channel – more interviews coming soon!

Today, I want to share a new episode with Cat Wu.Cat is the product lead for Claude Code and I got her to share how one of the most AI-native teams in tech actually works. Highlights include getting user feedback every 10 minutes, going straight to prototypes instead of docs, and designers checking in code directly. Cat also shared her 3 best Claude Code tips and what’s next for the product.Cat and I talked about:

(00:00) The process behind the best Claude Code features

(05:00) How engineers can own features from idea to launch

(10:04) Getting feedback every 10 minutes from 1000+ users

(14:00) How designers and PMs can ship production code

(19:58) How the Claude Code team does AI evaluations

(29:04) 3 tips from Cat to get the most out of Claude Code

(30:12) Why your Claude.md file is so important

(33:32) What's next for Claude Code

Thanks to our sponsor:

Lorikeet: The AI concierge that gets it done lorikeetcx.ai/peter

My top 10 takeaways: https://creatoreconomy.so/p/inside-claude-code-how-an-ai-native-actually-works-cat-wuWhere to find Cat:

X: https://x.com/_catwu

Website: https://www.anthropic.com/claude-code

📌 Subscribe to this channel – more interviews coming soon!

Today, I want to share a new episode with Alex Finn.Alex is a founder who has built a complete “Claude Life” operating system to automate research, curate AI news, analyze brain dumps, and more. I asked him to walk through exactly how to set up this system using Claude Code slash commands and sub-agents in just 25 minutes.

Alex and I talked about:

(00:00) How Alex uses Claude Code to automate his life

(04:18) Inside "Claude Life" — Alex’s life operating system

(05:29) The newsletter research agent that saves hours weekly

(09:09) How to use custom slash commands and sub-agents

(14:41) The most important skill that everyone needs in 2025

(18:01) Brain dump analysis to find new content pillars

(21:14) Daily brief agent that aggregates AI news

Get the takeaways: https://creatoreconomy.so/p/full-tutorial-build-an-ai-life-copilot-with-claude-code-alex-finn

Where to find Alex:

X: https://x.com/AlexFinnX

Website:

https://www.creatorbuddy.io/

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Today, I want to share a new episode with Nan Yu (Linear’s Head of Product).Despite only having 2 PMs, Linear has scaled to over 15,000 companies including OpenAI and Ramp. In our chat, Nan and I did a fun exercise to rank what PM skills still matter in the AI era and he also demoed Linear’s new AI agents that can write code, triage tickets, and analyze customer feedback.Nan and I talked about:

(00:00) Why Linear is a billion dollar company with just 2 PMs

(03:22) Ranking PM skills: What survives vs gets disrupted by AI

(11:10) Why strategy is actually being disrupted by AI

(21:51) The new skills PMs must build: context and agent management

(26:57) Craft vs speed: Linear's 10% rule for shipping fast

(38:09) Live demo: Using MCP to analyze customer feedback instantly

(53:04) Delegating entire backlogs to AI agents with one command

(57:12) Linear's future as an operating system for human-AI collaborationGet the takeaways: https://creatoreconomy.so/p/ranking-every-pm-skill-what-still-matters-gets-disrupted-by-ai-nan-yu-linearWhere to find Nan:

X: https://x.com/thenanyu

Website: https://linear.app/📌 Subscribe to this channel – more interviews coming soon!

Today, I want to share a new episode with Aman Khan.The best way to learn about AI evaluations is to watch 2 PMs build them live from scratch. In our new episode, Aman and I walk through creating evals for an AI customer support agent — from labeling a golden dataset to aligning LLM judges. This is the complete beginners AI eval course you've been waiting for.Aman and I talked about:

(00:00) What are AI evals and how to get good at them

(02:52) The 4 types of AI evaluations everyone should know

(06:08) Live demo: Building evals for a customer support agent

(10:29) Using Anthropic's console to generate great prompts

(15:13) Creating the evaluation criteria

(17:40) Adding human labels to the golden dataset

(31:05) Scaling evals with LLM-judge prompts

(38:21) How to align LLM judges with human judgmentGet the takeaways: https://creatoreconomy.so/p/complete-beginner-course-on-ai-evaluations-aman-khanWhere to find Aman:

X: https://www.linkedin.com/in/amanberkeley/

Website: https://arize.com/📌 Subscribe to this channel – more interviews coming soon!

Today, I want to share a new episode with Lee Robinson.Lee is the VP of Developer Experience at Cursor and a legend in his field.

While most people are still vibe coding, Lee showed me how to build apps properly using planning, test-driven development, AI agent workflows, and more. This is a must-watch tutorial for beginners who want to learn how to build with AI the right way.Lee and I talked about:

(00:00) How the way we build software is fundamentally changing

(03:49) Live demo: Building a music tracking app with Cursor

(5:17) The critical setup phase most people skip (tests, git, linting)

(16:03) Foreground vs background agents and when to use each

(27:34) How to create cursor rules that compound your workflows

(37:31) Why experienced engineers shouldn't fear AI tools

(42:19) Essential advice for PMs who want to learn technical skills

(44:48) How Cursor builds products without any PM

(47:18) The future of generalist engineers in an AI world

Get the takeaways: https://creatoreconomy.so/p/cursor-tutorial-for-beginners-from-cursor-head-of-ai-education-lee-robinson

Where to find Lee:

X: https://x.com/leerob

Website: https://leerob.com/

📌 Subscribe to this channel – more tutorials coming soon!

Today, I want to share a new episode with Ben Erez.Ben is a former Meta PM who has helped 100s of people ace their PM interviews and land their dream jobs in tech. I got him to show me exactly how to ace product sense interviews and build an AI-copilot that his students say feels like having a "calibrated interviewer that's available 24/7."Ben and I talked about:(00:00) The current state of the PM job market

(02:07) The exact structure of the product sense interview

(08:58) How to build your AI interview co-pilot step-by-step

(12:36) Live demo: AI co-pilot walking through a Meta interview question

(13:33) Why Ben designed the AI to be the candidate, not the interviewer

(25:23) How to prioritize the right user segments and problems to solve

(32:13) The biggest mistakes candidates make when challenged by interviewersThis episode covers how to build a simple AI co-pilot from scratch, but you should also check out Ben’s advanced interview AI co-pilot: https://www.benerez.com/copilotGet the takeaways: https://creatoreconomy.so/p/how-to-build-an-ai-co-pilot-to-ace-your-pm-interviews-ben-erezWhere to find Ben:

LinkedIn: https://www.linkedin.com/in/benerez/

Website: www.benarez.com📌 Subscribe to this channel – more interviews coming soon!

Today, I want to share a new episode with Jeremy Epling.

Jeremy is the CPO of Vanta and former VP of Product at Github. He showed me the exact template that he used to get his entire team to prototype with AI, his favorite AI workflows for PM work, and why now might be the best time to be an IC PM. We also did a deep dive on how Vanta ran AI evaluations for their new AI agent.

Jeremy and I talked about:(00:00) Why prototypes beat PRDs

(01:43) The exact template that got his entire PM team prototyping

(05:14) From prototype to product: live demo of Vanta’s AI agent

(08:56) How to run prototype-first product reviews

(12:47) Top AI workflows that save Jeremy hours each week

(19:08) Is now the best time to be an IC PM?

(25:03) Advice for big tech PMs facing industry changes

(30:35) Separating the hype from craft for AI products

(36:16) Deep dive on AI evaluations for AI agents

Where to find Jeremy:

LinkedIn: https://www.linkedin.com/in/jeremy-epling-j40/

Website: https://vanta.com Get the takeaways: https://creatoreconomy.so/p/how-to-get-your-team-to-start-prototyping-with-ai-jeremy-vanta📌 Subscribe to this channel – more interviews coming soon!

Meng is the founder of Aura, an AI prototyping tool for designers. He has spent 100s of hours using AI to create beautiful designs that don’t look like generic AI slop. Watch as he shares his exact process in this episode — from prompting to layouts to animations, and more without having to code.Timestamps:

(00:00) Why most AI websites look generic and how to fix it

(01:19) Comparing prompts across V0, Lovable, and Aura

(06:42) Using references and templates instead of blank prompts

(08:54) Building a great website prompt from scratch

(16:51) Why AI should augment, not replace your creativity

(22:43) Adding testimonial sections and scrolling animations

(29:40) How to add Spline 3D backgrounds step-by-step

(36:12) The 90/10 rule: When to use AI vs manual tweaksGet the takeaways: https://creatoreconomy.so/p/use-ai-to-create-beautiful-designs-meng-to

Where to find Meng:

X: https://x.com/MengTo

Website: https://aura.build/📌 Subscribe to this channel – more interviews coming soon!

Today, I want to share a new episode with Kieran Klaassen.Kieran is the founder of Cora, a beautiful AI email assistant. While we’ve all been vibe coding, Kieran has gone to the next level to manage multiple AI agents to code for him at the same time. I got him to show me exactly how he does this using Claude Code, voice, slash commands, and more. You don’t want to miss this episode 🙂Timestamps:(00:00) Why agentic coding beats vibe coding(03:21) "It's like I'm a manager and I have an AI agent team"(06:29) Why Claude Code is winning over Cursor for power users(12:15) Live demo: Building a new feature with 3 AI agents in parallel(22:32) Custom slash commands to eliminate repetitive work(36:13) AI code reviews using multiple perspectives and bots(54:55) Inside Cora: Your AI Chief of Staff for email(1:00:11) Advice for non-engineers intimidated by agentic codingGet the takeaways: Where to find Kieran:X: https://x.com/kieranklaassenWebsite: https://cora.computer/📌 Subscribe to this channel – more interviews coming soon!

Today, I want to share a new episode with Morgan Brown.Morgan is the VP of Product for AI at Dropbox. He gave me an inside look at his top AI workflows. We also talked about building Dash, Dropbox’s new AI agent for work, and how AI will reshape PM.Timestamps:

(00:00) How Morgan uses AI as a companion for everything he does

(01:26) Morgan's 3 best AI workflows to save time at work

(06:07) Inside Dash: Dropbox's AI agent to find anything at work

(14:35) The evaluation process behind Dash's search results

(18:49) How to ship fast while motion doesn't equal progress

(22:09) How to balance internal alignment with customer obsession

(27:27) What Morgan learned from Drew (Dropbox), Tobi (Shopify), and Zuck

(35:39) The 3 types of PMs Morgan looks for in the AI era

(38:02) What product management will look like in one yearWhere to find Morgan:

LinkedIn: https://www.linkedin.com/in/morganb/

Website: https://dash.dropbox.com/Get the takeaways: https://creatoreconomy.so/p/dropbox-vp-best-ai-workflows-to-take-back-time-morgan-brown 📌 Subscribe to this channel – more interviews coming soon!

Today, I want to share a new episode with James Evans.

James is the Head of AI for Amplitude, the leading product analytics platform. We had a great chat about why nobody has built a good AI analyst yet and why he’s betting on AI agents that can monitor your product 24/7. James also shared some real talk about whether AI will displace PM and analyst jobs.

Timestamps:

(00:00) Why nobody has built a good AI data analyst yet

(03:32) The biggest problem with product analytics today

(06:13) Live demo: AI agents that monitor your website 24/7

(21:48) The hardest parts of building AI analytics products

(25:21) How to evaluate AI agents that run experiments

(32:53) AI product pricing strategies that actually work

(35:42) Should data scientists worry about their jobs?

(38:04) Non-obvious advice for building AI products

Get the takeaways: https://creatoreconomy.so/p/is-this-the-first-ai-analyst-that-actually-works-amplitude-james-evans

Where to find James:

LinkedIn: https://www.linkedin.com/in/james-evans-7086b3126/

Website: https://amplitude.com/ai

📌 Subscribe to this channel – more interviews coming soon!

Today, I want to share a new episode with Cameron Adams.Cameron leads product for Canva where people are creating 1B+ designs every month. We talked about how AI will transform design and why he believes in prototypes over PRDs and coaches over managers. I also loved hearing Cam’s stories about Canva’s rubber ducky easter egg and what a bike accident taught him about persistence.

This episode is brought to you by Vanta — Join 9K+ companies like Atlassian who use Vanta to manage risk and prove security in real-time. Get $1000 off at https://vanta.com/peter

Timestamps:

(00:00) Will AI democratize design?

(06:32) How Canva runs AI evaluations for its product

(10:17) Moving beyond chat boxes to visual AI interfaces

(22:23) Why Canva skips PRDs and goes straight to prototypes

(29:08) The rubber duck Easter egg that became a cultural icon

(33:13) Keeping craft and quality as a priority as the team grows

(35:32) Why Canva gives everyone executive coaching, not just managers

(39:23) How AI is blurring boundaries between PM and design

(43:26) The bike accident story that almost derailed Canva's launch

Get the takeaways: https://creatoreconomy.so/p/canva-co-founder-ai-playbook-most-popular-design-tool-cameron-adams

Where to find Cameron:

LinkedIn: https://www.linkedin.com/in/themaninblue/

Website: https://www.canva.com/ai-assistant/

📌 Subscribe to this channel – more interviews coming soon!

Today, I want to share a new episode with Nate Gonzalez.Nate leads ChatGPT for Work which is now used by 92% of Fortune 500 companies. In our chat, he reveals how OpenAI runs with less than 30 PMs, what they look for in new hires, how he personally uses ChatGPT to save time at work, and more.

Timestamps:(00:00) 92% of Fortune 500 companies already use ChatGPT

(02:06) OpenAI's latest features for ChatGPT at work

(14:52) Why OpenAI has less than 30 PMs for 5,000 employees

(15:58) What traits OpenAI looks for when hiring PMs

(18:31) The 10-minute AI hack that changed how Nate works

(25:56) The most surprising thing about working at OpenAI

(29:48) The biggest barriers to AI adoption and how to overcome them

(38:36) Using ChatGPT roleplay to prep for important meetings

(41:04) ChatGPT's future: From assistant to trusted coworker

(43:06) The specific skill that will keep your job safe in the AI eraGet the takeaways: https://creatoreconomy.so/p/how-openais-head-of-business-products-uses-chatgpt-at-work-nate-gonzalezWhere to find Nate:

LinkedIn: https://www.linkedin.com/in/nate-gonzalez/

Website: https://openai.com/chatgpt/enterprise/📌 Subscribe to this channel – more interviews coming soon!