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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