5 OpenClaw agents run my home, finances, and code | Jesse Genet How I AI 2026-09-27 | 5 OpenClaw agents run my home, finances, and code | Jesse Genet
Transform CEO ideas into interactive prototypes in 30 minutes How I AI 2025-09-02 | What used to take months of documentation, design, and development can now be accomplished in a single meeting. This shifts the conversation from "Can we build this?" to "Is this what you had in mind?" eliminating weeks of misalignment.
How to turn meeting notes into prototypes that your sales team can immediately demo to customers How I AI 2025-09-01 | Anjan Panneer Selvam is the Chief Product and Technology Officer at Acolyte Health, where he’s pioneering the use of AI across the entire product development lifecycle. In this episode, he demonstrates how AI tools can dramatically accelerate alignment between stakeholders, reduce development time from months to minutes, and enable teams to validate ideas with customers before committing engineering resources.*What you’ll learn:*1. How to transform meeting transcripts into interactive prototypes in under 30 minutes using ChatGPT, Lovable, and other AI tools2. A step-by-step workflow for creating market analyses and competitive research in minutes instead of days3. How to build a “living product library” that allows sales and customer success teams to demo prototypes to customers before engineering begins4. Techniques for using AI to break deadlocks with engineering by demonstrating what’s possible without requiring technical expertise5. Why AI enables faster stakeholder alignment by converting abstract ideas into tangible, interactive experiences6. How to use ChatPRD to validate product requirements and ensure you’ve considered all critical aspects before engaging engineering*Brought to you by:*Notion—The best AI tools for work: notion.com/howiaiLovable—Build apps by simply chatting with AI: https://lovable.dev/*Where to find Anjan Panneer Selvam:*LinkedIn: linkedin.com/in/anjanps*Where to find Claire Vo:*ChatPRD: chatprd.aiWebsite: clairevo.comLinkedIn: linkedin.com/in/clairevoX: https://x.com/clairevo*In this episode, we cover:*(00:00) Introduction to Anjan(02:36) How AI changes the relationship between product and engineering(04:08) Workflow for converting stakeholder ideas into prototypes(08:50) Using the Limitless pendant to capture meeting transcripts(12:45) Creating interactive prototypes with Lovable(15:57) Benefits of using prototypes instead of documentation(19:07) Conducting market research with Perplexity(21:45) Creating presentation decks with Gamma(23:08) AI doesn’t replace PMs; it elevates them(25:05) Using ChatPRD to validate product requirements(29:10) Building a living product library for sales and customer success(35:50) Breaking deadlocks with engineering using Rork for mobile prototypes(39:00) Takeaways for building with AI(42:34) Cultural implications of AI in product development(45:20) Strategies for when AI doesn’t give you what you want*Tools referenced:*• ChatGPT: chat.openai.com• Lovable: https://lovable.dev/• Limitless: limitless.ai• Perplexity: perplexity.ai• Gamma: https://gamma.app/• ChatPRD: chatprd.ai• Rork: rork.com• v0: https://v0.dev/• Magic Patterns: magicpatterns.com*Other references:*• React Flow: https://reactflow.dev/• Figma: figma.com• Acolyte Health: acolytehealth.com• Meta Ray-Ban glasses: ray-ban.com/usa/ray-ban-meta-ai-glasses_Production and marketing by penname.co/.__For inquiries about sponsoring the podcast, email jordan@penname.co._
The AP English teacher grading system to improve AI writing How I AI 2025-08-28 | Each iteration grades the content and suggests improvements. The system focuses on hooks, transitions, and conclusions and grades range from C-minus to A-minus (91%)
From podcast to investment thesis: Inside Tomasz Tunguzs AI-powered content pipeline How I AI 2025-08-27 | His custom-built AI system that processes 36 podcasts daily, extracting investment theses and generating blog post drafts that match his writing style
Digesting 36 podcasts (with 0 listening time) How I AI 2025-08-26 | Tomasz's system processes 36 podcasts daily, extracting quotes, identifying companies to research, suggesting investment theses, and even drafting tweets—all without requiring him to listen to a single episode
How to digest 36 weekly podcasts without spending 36 hours listening | Tomasz Tunguz How I AI 2025-08-25 | Tomasz Tunguz is the founder of Theory Ventures, which invests in early-stage enterprise AI, data, and blockchain companies. In this episode, Tomasz reveals his custom-built “Parakeet Podcast Processor,” which helps him extract value from 36 podcasts weekly without spending 36 hours listening. He walks through his terminal-based workflow that downloads, transcribes, and summarizes podcast content, extracting key insights, investment theses, and even generating blog post drafts. We explore how AI enables hyper-personalized software experiences that weren’t feasible before recent advances in language models.*What you’ll learn:*1. How to build a terminal-based podcast processing system that downloads, transcribes, and extracts key insights from multiple podcasts daily2. A workflow for using Nvidia’s Parakeet and other AI tools to clean transcripts and generate structured summaries of podcast content3. How to extract actionable investment theses and company mentions from podcast transcripts using AI prompting techniques4. A systematic approach to generating blog post drafts with AI that maintains your personal writing style through iterative feedback5. Why using an “AP English teacher” grading system can help improve AI-generated content through multiple revision cycles6. How to leverage Claude Code for maintaining and updating personal productivity tools with minimal friction*Brought to you by:*Notion—The best AI tools for work: notion.com/howiaiMiro—A collaborative visual platform where your best work comes to life: http://miro.com*25k giveaway:* To celebrate 25,000 YouTube followers, we’re doing a giveaway. Win a free year of my favorite AI products, including v0, Replit, Lovable, Bolt, Cursor, and, of course, ChatPRD, by leaving a rating and review on your favorite podcast app and subscribing to the podcast on YouTube. To enter: howiaipod.com/giveaway*Where to find Tomasz Tunguz:*Blog: tomtunguz.comTheory Ventures: https://theory.ventures/LinkedIn: linkedin.com/in/tomasztunguzX: https://x.com/ttunguz*Where to find Claire Vo:*ChatPRD: chatprd.aiWebsite: clairevo.comLinkedIn: linkedin.com/in/clairevoX: https://x.com/clairevo*In this episode, we cover:*(00:00) Introduction to Tomasz Tunguz(03:32) Overview of the podcast ripper system and its components(05:06) Demonstration of the transcript cleaning process(06:59) Extracting quotes, investment theses, and company mentions(10:20) Why Tomasz prefers terminal-based tools(12:38) The benefits of personalized software versus off-the-shelf solutions(15:31) A workflow for generating blog posts from podcast insights(17:34) Using the “AP English teacher” grading system for blog posts(18:25) Challenges with matching personal writing style using AI(22:00) Tomasz’s three-iteration process for improving blog posts(26:13) The grading prompt and evaluation criteria(28:16) AI’s role in writing education(30:28) Final thoughts*Tools referenced:*• Whisper (OpenAI): openai.com/research/whisper• Parakeet: build.nvidia.com/nvidia/parakeet-ctc-0_6b-asr• Ollama: ollama.com• Gemma 3: https://deepmind.google/models/gemma/gemma-3/• Claude: claude.ai• Claude Code: claude.ai/code• Gemini: gemini.google.com• FFmpeg: ffmpeg.org• DuckDB: duckdb.org• LanceDB: lancedb.com*Other references:*• 35 years of product design wisdom from Apple, Disney, Pinterest, and beyond | Bob Baxley: lennysnewsletter.com/p/35-years-of-product-design-wisdom-bob-baxley• Dan Luu’s blog post on latency: danluu.com/input-lag• GitHub CEO: The AI Coding Gold Rush, Vibe Coding & Cursor: readtobuild.com/p/github-ceo-the-ai-coding-gold-rush• Stanford Named Entity Recognition library: https://nlp.stanford.edu/software/CRF-NER.html_Production and marketing by penname.co/.__For inquiries about sponsoring the podcast, email jordan@penname.co._
Creating a realistic video of Kurt Cobain performing at a Tiny Desk concert How I AI 2025-08-21 | AI enables creative expression that was previously inaccessible.
How AI democratizes creative outlets How I AI 2025-08-20 | Anish believes the most profound changes will come in how everyday consumers use these tools for creativity, learning, and personal tasks.
AI is enabling a new era of remix culture How I AI 2025-08-19 | Anish notes: "I think AI is just the next manifestation of sampling, and it'll be as important for music as hip-hop was."
Using Veo 3 to create AI-generated music videos, like a Tiny Desk concert with Notorious B.I.G. How I AI 2025-08-18 | Anish Acharya is an entrepreneur and general partner at Andreessen Horowitz, focusing on consumer investing and AI-native products. In this episode, he demonstrates how AI can be used for creative and personal projects beyond typical work applications. He walks through creating an AI-generated Tiny Desk Concert for Notorious B.I.G. and Kurt Cobain, building a book cataloging app using video analysis, and using browser automation for personal finance insights. Anish shares how these technologies allow anyone to bring creative ideas to life with minimal technical expertise, transforming what would have been impossible projects just a few years ago into accessible weekend activities.*What you’ll learn:*1. A step-by-step workflow for creating AI-generated music videos featuring artists like Kurt Cobain and Notorious B.I.G.2. How to extract vocals from existing tracks to create unique audio combinations for your AI-generated videos3. A simple method for cataloging your book or record collection using video analysis and Gemini Flash4. How to use Comet to analyze personal finances and get investment recommendations without manual data analysis5. Ways AI is transforming childhood learning and play by enabling interactive storytelling and creative exploration*25k giveaway:* To celebrate 25,000 YouTube followers, we’re doing a giveaway. Win a free year of my favorite AI products, including v0, Replit, Lovable, Bolt, Cursor, and, of course, ChatPRD, by leaving a rating and review on your favorite podcast app and subscribing to the podcast on YouTube. To enter: howiaipod.com/giveaway.*Brought to you by:*Notion—The best AI tools for work: notion.com/howiaiLenny’s List on Maven—Hands-on AI education curated by Lenny and Claire: maven.com/lenny*Where to find Anish Acharya:*• Andreessen Horowitz: a16z.com/author/anish-acharya• LinkedIn: linkedin.com/in/anishacharya• X: https://x.com/illscience*Where to find Claire Vo:*ChatPRD: chatprd.aiWebsite: clairevo.comLinkedIn: linkedin.com/in/clairevoX: https://x.com/clairevo*In this episode, we cover:*(00:00) Introduction to Anish Acharya(03:05) How AI transforms creative constraints in music and video(06:00) Creating an AI-generated Notorious B.I.G. Tiny Desk Concert(07:36) Using GPT-4o to generate still images(09:27) Using Hedra to animate still frame images(10:40) Adding custom audio to video(11:30) Using Adobe Audition to clip and sync audio(15:42) How to use Demucs to extract vocals from any song(16:36) Using Hedra to generate a Tiny Desk Concert featuring Kurt Cobain(19:40) Creating a ’90s-style Nirvana music video with Veo 3(27:40) Building a book collection cataloging tool with Gemini Flash(35:35) Using the Comet browser for personal finance analysis(37:20) How AI is transforming childhood learning and play(41:23) Tips for getting better results from AI tools*Tools referenced:*• GPT-4o: openai.com/index/hello-gpt-4o• Hedra: hedra.com• Adobe Audition: adobe.com/products/audition.html• Demucs: github.com/facebookresearch/demucs• Perplexity: perplexity.ai• Veo 3: https://deepmind.google/models/veo/• Kapwing: kapwing.com• Cursor: cursor.com• Google AI Studio: makersuite.google.com• Gemini Flash: https://ai.google.dev/gemini-api• Comet: perplexity.ai/comet*Other references:*• Anish’s Notorious B.I.G. AI-generated Tiny Desk Concert: https://x.com/illscience/status/1935721063876550939• NPR Tiny Desk Concerts: npr.org/series/tiny-desk-concerts• Notorious B.I.G.: en.wikipedia.org/wiki/The_Notorious_B.I.G.• Kurt Cobain: kurtcobain.com• Robinhood: robinhood.com_Production and marketing by penname.co/.__For inquiries about sponsoring the podcast, email jordan@penname.co._
Why AI-generated documents still need human review How I AI 2025-08-17 | Instead of starting with a blank document, teams now start with a complete AI-generated draft and focus on review and refinement. This shifts the work from creation to evaluation, dramatically accelerating the process.
GPT-5 is a tool calling beast! How I AI 2025-08-17 | How GPT-5’s extensive tool-calling behavior and bullet-point communication style reflect its engineering-oriented design
GPT-4.1 vs. GPT-5 How I AI 2025-08-16 | A comparative analysis of how GPT-5 and GPT-4.1 generate different types of product requirement documents and prototypes for the same prompt
Social engineering drives AI adoption faster than technical excellence How I AI 2025-08-14 | Moda went viral internally because it was built in Slack where everyone could see others using it successfully. Wade explains: "If you can see people more credible or equally credible as yourself having great effect with this, it's an obvious thing that I want to use." This visibility created a viral adoption curve.
Role boundaries are blurring with AI assistance How I AI 2025-08-13 | Amplitude even runs exercises where team members swap roles to demonstrate this capability, building empathy and cross-functional understanding.
GPT-5: My preferred tool for functional requirements How I AI 2025-08-12 | Why GPT-5 excels at technical writing, functional requirements, and code generation
Inside Amplitudes internal AI agent: Moda How I AI 2025-08-12 | How they built Moda to search all enterprise data and generate PRDs in minutes
How Amplitude built an internal AI tool that the whole company’s obsessed with (and how you can too) How I AI 2025-08-11 | Wade Chambers, Chief Engineering Officer at Amplitude, shares how his team built Moda—an internal AI tool that gives employees access to enterprise data across multiple systems, enabling faster product development and decision-making while fostering cross-functional collaboration.*What you’ll learn:*1. How Amplitude built a powerful internal AI tool in just 3 to 4 weeks of engineers’ spare time2. A social engineering approach that made their AI tool go viral company-wide in just one week3. How product managers use AI to analyze customer feedback across multiple data sources and identify key themes4. A streamlined workflow that compresses research, PRD creation, and prototyping into a single meeting5. Why role-swapping exercises with AI tools build empathy and cross-functional fluency across product, design, and engineering teams6. How AI tools are helping engineering teams tackle persistent tech debt challenges more effectively*Brought to you by:*CodeRabbit—Cut code review time and bugs in half. Instantly: https://coderabbit.link/howiaiVanta—Automate compliance and simplify security: vanta.com/howiai*25k giveaway:* To celebrate 25,000 YouTube followers, we’re doing a giveaway. Win a free year of my favorite AI products, including v0, Replit, Lovable, Bolt, Cursor, and, of course, ChatPRD, by leaving a rating and review on your favorite podcast app and subscribing to the podcast on YouTube. To enter: howiaipod.com/giveaway.*Where to find Wade Chambers:*LinkedIn: linkedin.com/in/wadechambersAmplitude: amplitude.com/blog/meet-the-team-wade-chambers*Where to find Claire Vo:*ChatPRD: chatprd.aiWebsite: clairevo.comLinkedIn: linkedin.com/in/clairevoX: https://x.com/clairevo*In this episode, we cover:*(00:00) Introduction to Wade Chambers(02:53) The build vs. buy decision for internal AI tools(04:55) What Moda is and how it works(07:19) The social engineering approach to adoption(09:17) Demo of Moda in Slack(10:58) Data sources Moda has access to(12:43) Analyzing customer feedback themes with Moda(17:41) Behind the scenes: how Moda works technically(23:24) Creating a PRD from a single customer insight(27:30) How teams actually use AI-generated PRDs(29:09) Impact on product development velocity(32:37) Engineers, designers, and PMs swapping roles(34:38) Recap of creating Moda(36:00) Lightning round and final thoughts*Tools referenced:*• Glean: glean.com• ChatGPT: chat.openai.com• Cursor: cursor.com• Bolt: https://bolt.new/• Figma: figma.com• Lovable: https://lovable.dev/• v0: https://v0.dev/*Other references:*• Amplitude: amplitude.com• Slack: slack.com• Confluence: atlassian.com/software/confluence• Jira: atlassian.com/software/jira• Salesforce: salesforce.com• Zendesk: zendesk.com• Google Drive: drive.google.com• Productboard: productboard.com• Zoom: zoom.us• Asana: asana.com• Dropbox: dropbox.com• GitHub: github.com• HubSpot: hubspot.com• Abnormal Security: abnormalsecurity.com_Production and marketing by penname.co/.__For inquiries about sponsoring the podcast, email jordan@penname.co._
An exclusive inside look at GPT-5 How I AI 2025-08-07 | In this episode, I share my hands-on experience with OpenAI’s GPT-5, the company’s new frontier model. As one of the first users outside of OpenAI to test the model, I put GPT-5 head-to-head with GPT-4.1 across real-world product use cases—from writing PRDs to generating code to assisting with visual design work. This is my unfiltered look at what GPT-5 can (and can’t) do—and how it changes the game for builders.*What you’ll learn:*1. How GPT-5 differs from previous models with its engineering-focused approach to problem-solving and tendency to prioritize technical details over business context2. A comparative analysis of how GPT-5 and GPT-4.1 generate different types of product requirement documents and prototypes for the same prompt3. Why GPT-5 excels at technical writing, functional requirements, and code generation while potentially skipping important business discovery questions4. The model’s impressive spatial awareness capabilities when generating images for interior design and other visual tasks5. Practical considerations for choosing the right model based on your specific use case and audience6. How GPT-5’s extensive tool-calling behavior and bullet-point communication style reflect its engineering-oriented design*Brought to you by ChatPRD—an AI copilot for PMs and their teams:* chatprd.ai/howiai*25k giveaway:* To celebrate 25,000 YouTube followers, we’re doing a giveaway. Win a free year of my favorite AI products, including v0, Replit, Lovable, Bolt, Cursor, and, of course, ChatPRD, by leaving a rating and review on your favorite podcast app and subscribing to the podcast on YouTube. To enter: howiaipod.com/giveaway*Where to find Claire Vo:*ChatPRD: chatprd.aiWebsite: clairevo.comLinkedIn: linkedin.com/in/clairevoX: https://x.com/clairevo*In this episode, we cover:*(00:00) Introduction to GPT-5(04:34) Testing GPT-5 in ChatPRD for document generation(07:10) Comparing GPT-5 and GPT-4.1 on business vs. technical orientation(11:22) Side-by-side comparison of PRDs generated by both models(15:23) Where GPT-5 excels: Technical considerations and documentation quality(17:35) Comparing prototypes generated from different model outputs(19:57) Testing homepage critique capabilities between models(23:14) OpenAI’s strengths in API design and developer support(25:37) GPT-5’s performance as a coding assistant(27:26) Examining GPT-5 in ChatGPT’s interface(28:50) Testing GPT-5’s front-end design capabilities(31:17) Personal use case: bathroom remodel planning(33:45) Comparing GPT-5 vs. GPT-4 for interior design visualization(38:10) Summary of key findings and recommendations*Tools referenced:*• OpenAI: openai.com• ChatGPT: chat.openai.com• Claude: claude.ai• Gemini: gemini.google.com• Cursor: https://cursor.sh/• v0: https://v0.dev/• Lovable: https://lovable.dev/• Bolt: bolt.com• LaunchDarkly AI Configs: launchdarkly.com/docs/home/ai-configs*Other reference:*• Benjamin Moore paints: benjaminmoore.com_Production and marketing by penname.co/.__For inquiries about sponsoring the podcast, email jordan@penname.co._
Creating custom categorization systems for hundreds of board games How I AI 2025-08-07 | The AI-powered "Dewey decimal system" they created to categorize hundreds of board games—making complex collections accessible to newcomers
Making a Persona Identification System with Claude How I AI 2025-08-06 | Building personalized recommendation engines for an in-person board game social club
The board game social club built with AI How I AI 2025-08-05 | a. Members text a phone number with their game preferences and availabilityb. An AI agent matches them with other compatible membersc. The system automatically books tables and notifies participants
How a VC and tech founder used AI to launch a brick-and-mortar business in their spare time How I AI 2025-08-04 | Andrew Mason (founder of Groupon, now CEO of Descript) and Nabeel Hyatt (General Partner at Spark Capital) teamed up to open a physical board-game social club in Berkeley, with AI as their business partner. In this episode, they break down how they used Claude to generate a full business plan, model financials, plan the space layout, navigate Berkeley permitting, categorize hundreds of games using a custom Dewey Decimal–style system, and build an AI concierge that matches players with games via text. They also share how working on this side project helped rewire how they use AI in their day jobs—and why more people should use AI to build real-world things.*What you’ll learn:*1. How to use Claude Projects as your business copilot to create comprehensive business plans, financial projections, and space layouts2. A workflow for categorizing hundreds of board games using an AI-generated “Dewey Decimal System” that makes game discovery intuitive3. How they built an AI concierge service that matches players with games and coordinates group play sessions via text message4. Why AI enables side projects that would otherwise be impossible due to time constraints and specialized knowledge requirements5. A simple system for creating customer personas that inform your business model and event programming6. How to use model context protocols (MCPs) to connect AI assistants to business tools like Airtable without complex coding*Brought to you by:*Lovable—Build apps by simply chatting with AI: https://lovable.dev/Persona—Trusted identity verification for any use case: https://lovable.dev/*Where to find Andrew Mason:*LinkedIn: linkedin.com/in/andrewmasonX: https://x.com/andrewmason*Where to find Nabeel Hyatt:*LinkedIn: linkedin.com/in/nabeelhyattX: https://x.com/nabeel*Where to find Claire Vo:*ChatPRD: chatprd.aiWebsite: clairevo.comLinkedIn: linkedin.com/in/clairevoX: https://x.com/clairevo*In this episode, we cover:*(00:00) Introduction to the board-game social club concept(02:44) How AI made a challenging side project possible(06:14) Using Claude as a business copilot for planning(12:53) Developing customer personas with AI(15:45) Using AI to determine business viability(21:02) Navigating Berkeley real estate and permitting(25:18) Building an AI concierge for game matchmaking(28:10) Database design with Airtable for non-technical founders(32:04) Creating a custom board-game categorization system(36:20) Demo of the text-based AI concierge service(40:38) Enabling experiences that wouldn’t exist without AI(43:42) Lightning round and final thoughts*Tools referenced:*• Claude: claude.ai• Airtable: airtable.com• n8n: n8n.io• Twilio: twilio.com• Cursor: https://cursor.sh/• Windsurf: windsurf.io• Python: python.org*Other references:*• Model context protocol (MCP): anthropic.com/news/model-context-protocol• Tabletop Library: tabletoplibrary.com• Descript: descript.com_Production and marketing by penname.co/.__For inquiries about sponsoring the podcast, email jordan@penname.co._
Demo: Blocks AI agent Goose How I AI 2025-08-01 | Starting with a messy farm-stand sales CSV, Goose analyzes the data, builds visualizations, and generates a shareable HTML report.
Anyone can build custom MCPs to connect Goose to new systems How I AI 2025-07-31 | In this demo, Brad vibe codes an email MCP that can send payment links automatically
Goose: The open-source AI agent by Block How I AI 2025-07-29 | This week on How I AI: Brad & Jackie at Block show off their open-source MCP Goose on a variety of business
Block’s open-source AI agent How I AI 2025-07-29 | Goose, Block’s open-source AI agent that runs locally, plugs into your existing tools through model context protocol (MCP) servers, and peels away the rote parts of work so people can focus on insight and impact.
How Block’s custom AI agent supercharges every team, from sales to data to engineering How I AI 2025-07-28 | VP of engineering Jackie Brosamer and principal engineer Brad Axen join me to demo Goose, Block’s open-source AI agent that runs locally, plugs into your existing tools through model context protocol (MCP) servers, and peels away the rote parts of work so people can focus on insight and impact.This episode is packed with in-depth demos: starting with a messy farm-stand sales CSV, Goose analyzes the data, builds visualizations, and generates a shareable HTML report. We then spin up an MCP that lets Goose talk to Square’s dashboard for inventory management, vibe code an email MCP that can send payment links automatically, and unpack how environment setup, debugging, and tool orchestration get handled behind the scenes.*What you’ll learn:*1. A practical, repeatable workflow for turning any working script or function into a custom MCP—and exposing it to natural-language control2. How to transform messy CSVs into visualizations, HTML reports, and actionable business insights without needing a data science background3. Ways to hook Goose into live business systems (e.g. Square inventory, payments) so analysis flows directly into operational action4. The thinking behind Block’s decision to open-source Goose5. Lessons from Block’s bottom-up meets top-down adoption model6. Why organizational transformation, not just picking the right LLM, will separate AI winners from laggards over the next few years7. How to scale an internal MCP catalog8. The organizational transformation required to fully leverage AI capabilities*Brought to you by:*CodeRabbit—Cut code review time and bugs in half. Instantly: https://coderabbit.link/howiaiLenny’s List—Hands-on AI education curated by Lenny and Claire: maven.com/lenny*Where to find Jackie Brosamer:*LinkedIn: linkedin.com/in/jbrosamer*Where to find Brad Axen:*LinkedIn: linkedin.com/in/bradleyaxen*Where to find Claire Vo:*ChatPRD: chatprd.aiWebsite: clairevo.comLinkedIn: linkedin.com/in/clairevoX: https://x.com/clairevo*In this episode, we cover:*(00:00) Introduction to Goose and its data analysis capabilities(02:27) How Block embraced AI across the organization(04:48) What Goose is and why Block open-sourced it(07:45) Demo: Analyzing farm-stand sales data with Goose(12:18) Creating shareable HTML reports from data analysis(14:15) Model context protocols (MCPs) that Goose uses(18:56) Demo: Using Square MCP to create a product catalog(23:35) Creating payment links from analyzed data(26:30) Demo: Building a custom email MCP(31:18) Testing the new email MCP with Goose(36:09) Debugging and fixing MCP code errors(38:44) Connecting workflows: sending payment links via email(41:30) Lightning round and final thoughts*Tools referenced:*• Goose: block.github.io/goose• Pandas: pandas.pydata.org• Plotly: plotly.com• Python: python.org• ChatGPT: chat.openai.com• Claude: claude.ai• Cursor: cursor.com• Mailgun: mailgun.com*Other references:*• Block: block.com• Model context protocol (MCP): anthropic.com/news/model-context-protocol• GitHub: github.com_Production and marketing by penname.co/.__For inquiries about sponsoring the podcast, email jordan@penname.co._
Using AI in a real enterprise codebase How I AI 2025-07-27 | His tips on docs, agent rules, and tech debt are spot on. #softwareengineering #vibecoding #cursor #windsurf #devinai #greenscreen
How to use custom GPTs to hire smarter How I AI 2025-07-25 | A custom GPT workflow for improving interview feedback quality and coaching interviewers
Let AI do the work for you How I AI 2025-07-23 | How to create a centralized rules system that works across multiple AI tools instead of duplicating documentation
Strategies for successful AI adoption in large organizations How I AI 2025-07-22 | The importance of having someone responsible for driving AI adoption
Successfully coding with AI in large enterprises: Centralized rules, workflows for tech debt, & more How I AI 2025-07-21 | Zach Davis is a product-minded engineering leader and builder at heart, with over 12 years of experience building high‑performing teams and crafting developer tools at companies like Atlassian and LaunchDarkly. In this episode, he shares how he’s helping his 100-plus-person engineering team successfully adopt AI tools by creating centralized documentation, using agents to tackle technical debt, and improving hiring processes—all while maintaining high quality standards in a mature codebase.*What you’ll learn:*1. How to create a centralized rules system that works across multiple AI tools instead of duplicating documentation2. A systematic approach to using AI agents like Devin and Cursor to analyze and reduce test noise in large codebases3. How to leverage AI tools to document your codebase more effectively by extracting knowledge from existing sources4. Why “what’s good for humans is also good for LLMs” should guide your documentation strategy5. A custom GPT workflow for improving interview feedback quality and coaching interviewers6. How to approach tech debt reduction with AI by creating prioritized task lists that both humans and AI agents can work from*Brought to you by:*WorkOS—Make your app enterprise-ready todayLenny’s List on Maven—Hands-on AI education curated by Lenny and Claire*Where to find Zach Davis:*LaunchDarkly: launchdarkly.comLinkedIn: linkedin.com/in/zach-davis-28207195*Where to find Claire Vo:*ChatPRD: chatprd.aiWebsite: clairevo.comLinkedIn: linkedin.com/in/clairevoX: https://x.com/clairevo*In this episode, we cover:*(00:00) Introduction to Zach Davis(02:44) Overview of AI tools used at LaunchDarkly(04:00) The importance of having someone responsible for driving AI adoption(05:44) Why vibe coding isn’t acceptable for enterprise development(06:42) Making engineers successful with AI on their first attempt(07:55) Creating centralized documentation for both humans and AI agents(10:19) Using feature flagging rules to improve AI outputs(12:33) Advice for getting started with rules(14:28) Demo: Setting up Devin’s environment in a large codebase(24:33) Devin’s plan overview(27:55) Demo: Creating a prioritized tech debt reduction plan(36:40) Demo: Using AI to improve hiring processes and interview feedback(40:34) Summary of key approaches for integrating AI into engineering workflows(42:08) Lightning round and final thoughts*Tools referenced:*• Cursor: cursor.com• Devin: devin.ai• ChatGPT: chat.openai.com• Claude: claude.ai• Windsurf: windsurf.com• Lovable: https://lovable.dev/• v0: https://v0.dev/• ChatPRD: chatprd.ai• Figma: figma.com• GitHub Copilot: github.com/features/copilot*Other references:*• Jest: jestjs.io• Vitest: https://vitest.dev/• MCP: anthropic.com/news/model-context-protocol• Confluence: atlassian.com/software/confluence_Production and marketing by penname.co/.__For inquiries about sponsoring the podcast, email jordan@penname.co._
Use this 3-file system for structured vibecoding How I AI 2025-07-21 | 3 steps to making your #vibecoding more organized and able to take on big projects #ai #cursor #howiai
Using AI to automate the creation of 60k-page FDA documents How I AI 2025-07-17 | How Prerna built an AI system that automates the creation of 60,000-page regulatory documents for the FDA—reducing a process that took 4 to 6 months and 20 specialists to just minutes
Inside the episode: How I AI with guest Prerna Kaul How I AI 2025-07-15 | How I AI Episode 13 is all about using #ai to streamline months of work & get life-saving medications in the hands of people that need them. Give it a 🎧
Using Claude to help you solve complex communication problems How I AI 2025-07-15 | How to use Claude’s prompt generator to create powerful communication frameworks that help PMs navigate complex stakeholder situations
How this PM streamlines 60k-page FDA submissions with Claude, Streamlit, and clever AI workflows How I AI 2025-07-14 | Prerna Kaul is a product and platform leader who has spent over 14 years turning machine-learning research into consumer and B2B products at Amazon Alexa, AGI, Moderna, and now Panasonic Well. In today’s episode, she explains how she’s using AI to slash some of the most time-consuming, expensive tasks in life sciences—from generating 60,000-page FDA submissions to crafting communication frameworks that help product managers navigate complex stakeholder dynamics. Her innovations are saving millions of dollars and helping lifesaving treatments reach the market faster.*What you’ll learn:*1. How Prerna built an AI system that automates the creation of 60,000-page regulatory documents for the FDA—reducing a process that took 4 to 6 months and 20 specialists to just minutes2. A step-by-step system for detecting and redacting PHI (protected health information) in clinical trial data using Claude3. How to build user-friendly interfaces for non-technical colleagues using Streamlit to democratize AI tools4. How to use Claude’s prompt generator to create powerful communication frameworks that help PMs navigate complex stakeholder situations5. Why transparency about AI costs is crucial for gaining organizational buy-in and tracking ROI6. A practical framework for approaching AI safety and ethics in highly regulated industries*Brought to you by:*CodeRabbit—Cut code review time and bugs in half. Instantly: coderabbit.aiLovable—Build apps by simply chatting with AI: https://lovable.dev/*Where to find Prerna Kaul:*LinkedIn: linkedin.com/in/prernakkaul*Where to find Claire Vo:*ChatPRD: chatprd.aiWebsite: clairevo.comLinkedIn: linkedin.com/in/clairevoX: https://x.com/clairevo*In this episode, we cover:*(00:00) Introduction to Prerna(03:01) The FDA submission challenge: 60,000 pages, months of work, millions in costs(05:20) Getting started in Claude: from prompt to production-ready prototype(10:13) How Claude selected the right models for medical entity recognition(12:04) Using Streamlit to create accessible UIs for non-technical users(16:04) Detecting and redacting PHI in unstructured clinical notes(18:44) Generating the Common Technical Document (CTD) for FDA submission(21:54) Tracking and displaying AI operation costs for stakeholder buy-in(24:38) Real-world impact on vaccine development timelines and costs(26:12) Creating an AI communication coach for product managers(30:22) Training Claude on classic literature and persuasion techniques(31:53) Analyzing a complex stakeholder scenario with multiple competing priorities(34:40) Getting personalized communication strategies inspired by tech leaders(35:40) Summarizing strategic approaches(38:26) Conclusion and final thoughts*Tools referenced:*• Claude: claude.ai• Streamlit: streamlit.io• Anthropic Console: console.anthropic.com• Claude Sonnet 4: anthropic.com/claude/sonnet*Other references:*• Claude project chat (AI Product Management Stakeholder Challenges): claude.ai/share/caba4ab0-b28a-480c-8633-71920b12999e• XML: w3.org/XML• Python: python.org• RegEx: regex101.com• Moderna: modernatx.com• FDA: fda.gov• Project Gutenberg: gutenberg.org• FDA Biologics License Application: fda.gov/vaccines-blood-biologics/development-approval-process-cber/biologics-license-applications-bla-process-cber• Protected health information (PHI): hhs.gov/hipaa/for-professionals/privacy/laws-regulations/index.html_Production and marketing by penname.co/.__For inquiries about sponsoring the podcast, email jordan@penname.co._
How to create a personal operating system using ChatGPT How I AI 2025-07-11 | How to build a personal AI coach using your own personality assessments and communication style
How to improve your ChatGPT outputs How I AI 2025-07-09 | Why context is everything—and how to load ChatGPT with the right information before asking for outputs
Replicate your boss using ChatGPT How I AI 2025-07-08 | How to create AI versions of your boss by loading operating manuals and personality tests into ChatGPT projects
Mastering ChatGPT: Advanced techniques for workplace communication and productivity | Hiten Shah How I AI 2025-07-07 | Hiten Shah is a serial founder who has started several analytics and security companies, including Crazy Egg and KISSmetrics. The latest one, Nira, was acquired by Dropbox in 2024. In this episode, he shares how he turns ChatGPT from a simple chatbot into a personal workplace coach, sales strategist, and productivity multiplier.*What you’ll learn:*1. How to create AI versions of your boss by loading operating manuals and personality tests into ChatGPT projects2. A simple approach for turning sales frameworks into customized discovery call scripts for any product3. Why context is everything—and how to load ChatGPT with the right information before asking for outputs4. The “show it what great looks like” technique that dramatically improves AI responses5. How to build a personal AI coach using your own personality assessments and communication style6. Why you should use temporary sessions for random queries to keep your main ChatGPT memory clean*Brought to you by:*Paragon—Ship every SaaS integration your customers want: useparagon.com/HowIAINotion—The best AI tools for work: notion.com/howiai*Where to find Hiten Shah:*Blog: hitenism.comX: twitter.com/hnshahLinkedIn: linkedin.com/in/hnshah*Where to find Claire Vo:*ChatPRD: chatprd.aiWebsite: clairevo.comLinkedIn: linkedin.com/in/clairevoX: https://x.com/clairevo*In this episode, we cover:*(00:00) Introduction to Hiten(02:55) Why Hiten primarily uses ChatGPT(04:12) The importance of context and memory management(07:58) Demo: Creating “What Would Morgan Do” project(13:30) Using personality types to improve AI coaching(16:20) Building a personal operating system in ChatGPT(20:55) Mixing structured frameworks and personal context(23:20) Demo: Winning by Design sales framework implementation(30:00) Creating discovery call scripts(31:44) Using ChatGPT’s deep research feature to understand Claire’s leadership style(36:30) Lightning round and final thoughts*Tools referenced:*• ChatGPT: chat.openai.com• Claude: claude.ai*Other references:*• Hiten's Google Doc: docs.google.com/document/d/1j15hoR3qZLQMJuW-mtfYFyhXM0CpYHQkZJuUgqHBsZs/edit?tab=t.0• Winning by Design: winningbydesign.com• Enneagram: enneagraminstitute.com• Human Design: https://humandesign.tools/• Myers-Briggs: myersbriggs.org• DISC: discprofile.com• Lex: https://lex.page/• The Lean Startup: theleanstartup.com• Sean Ellis score: pmfsurvey.com_Production and marketing by penname.co/.__For inquiries about sponsoring the podcast, email jordan@penname.co._
How to introduce AI to your designers How I AI 2025-07-04 | AI is giving everyone the power to design. Here's how to make sure everyone's on board.
Building a ChatPRD replica in one prompt How I AI 2025-07-02 | How to use Magic Patterns to extract web components
How to turn screenshots into usable UX elements How I AI 2025-07-01 | The quick step-by-stpe process using AI
How to build prototypes that actually look like your product | Colin Matthews How I AI 2025-06-30 | Colin Matthews is a product manager, founder, and hobbyist engineer. After spending the past eight years in healthtech, he recently left his role as a PM at Datavant to go full-time on building his own products. He is currently a top Maven instructor, helping PMs build their first AI prototype. In this episode, he shares a step-by-step workflow for creating component libraries from screenshots that stay true to your brand and reveals a clever Chrome extension trick for extracting code from any website to build reusable components.*What you’ll learn:*1. How to create component libraries from screenshots that match your brand’s design system2. A Chrome extension that can extract components directly from any website with a single click3. Why forking prototypes is the key to efficient iteration without breaking your baseline4. The structured prompting technique that makes AI tools actually listen to your instructions5. How to introduce AI prototyping to your team without stepping on designers’ toes6. The debugging approach that solves 90% of AI prototyping errors*Brought to you by:*WorkOS—Make your app enterprise-ready today: https://workos.com?utm_source=lennys_howiai&utm_medium=podcast&utm_campaign=q22025Notion—The best AI tools for work: notion.com/howiai*Go deeper with Colin’s in-depth post in Lenny’s Newsletter:*lennysnewsletter.com/p/how-to-get-your-entire-team-prototyping*Where to find Colin Matthews:*LinkedIn: linkedin.com/in/colinmatthews-pmTech For Product newsletter: colinmatthews.substack.comTech For Product one-day team workshop: teams.techforproduct.comMaven course: AI Prototyping for PMs: bit.ly/3FQgZmw*Where to find Claire Vo:*ChatPRD: chatprd.aiWebsite: clairevo.comLinkedIn: linkedin.com/in/clairevoX: https://x.com/clairevo*In this episode, we cover:*(00:00) Introduction to Colin Matthews(02:46) Creating component libraries from screenshots in v0(05:50) Using prompts to extract components from existing products(06:31) Building an Airbnb prototype from component libraries(11:36) Using the Magic Patterns Chrome extension to extract components directly from websites(18:38) The importance of improving components rather than the composed application(20:15) Using forks and versions for iterative prototyping(25:05) Managing team dynamics when introducing AI prototyping(26:54) Final thoughts*Tools referenced:*• v0: https://v0.dev/• Magic Patterns: magicpatterns.com• Magic Patterns Chrome Extension: chromewebstore.google.com/detail/html-to-react-figma-by-ma/chgehghmhgihgmpmdjpolhkcnhkokdfp?hl=en• Cursor: https://cursor.sh/• ChatGPT: chat.openai.com• Bolt: https://bolt.new/*Other references:*• Colin’s AI prototyping prompt library: https://technical-foundations.notion.site/16c8fafdb669800ea6eeca11f40d046c?v=16c8fafdb6698069a6e4000c84a9ff2c• Airbnb: airbnb.com• Notion: https://www.notion.so/• Amplitude: amplitude.com• PostHog: posthog.com• Figma: figma.com• GitHub: github.com_Production and marketing by penname.co/.__For inquiries about sponsoring the podcast, email jordan@penname.co._
Advice for navigating the AI wave from 91-year-old vibe coder How I AI 2025-06-26 | "If you figure out how to use it the correct way, it's going to help a lot of people"
Closing the gap between development and production with AI tools How I AI 2025-06-24 | How to fix this common issue when shipping AI products
