How I AI

How I AI, hosted by Claire Vo, is for anyone wondering how to actually use these magical new tools to improve the quality and efficiency of their work. In each episode, guests will share a specific, practical, and impactful way they’ve learned to use AI in their work or life. Expect 30-minute episodes, live screen sharing, and tips/tricks/workflows you can copy immediately. If you want to demystify AI and learn the skills you need to thrive in this new world, this podcast is for you.

How I AI is a technology podcast hosted by Claire Vo, with 100 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Claire Vo hosts How I AI, a technology show with 100 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  How I AI

  I tested Grok Bot, Grok 4.6, and Cursor Origin - here’s my honest take

  Aug 18, 202627 min

  This week I’m doing a solo breakdown of everything xAI and Cursor have shipped recently, including Grok Bot, Cursor Origin, and the Grok 4.6 model. I set up five Grok Bots, ran Grok 4.6 through my Claire Weighted Index against GPT-5.6 Sol, Claude Sonnet 5, and Opus 5, and spent time actually using Origin as a GitHub replacement. Here’s what’s worth your attention, what’s overhyped, and where I’m personally putting my time. What you’ll learn: The one Grok Bot feature no other agent platform has shipped yet, and why it made me actually use the product What a week of real Grok Bot use revealed, and why I still reach for my OpenClaws Whether Cursor Origin is a GitHub replacement or just a pretty redesign Where Grok 4.6 landed on the Claire Index, and the one category where it genuinely surprised me — Brought to you by: Bolt.new —Turn your idea into a real product Jira AI SDLC —Get your tokens’ worth with Jira — In this episode, we cover: ( 00:00 ) Why everyone’s quietly switching to Grok ( 01:52 ) Grok Bot overview and setup ( 03:22 ) My 5 Grok Bots ( 04:30 ) The killer feature: multi-account connectors ( 06:07 ) Grok Bot’s virtual machine and how it actually works ( 06:41 ) Experience overview ( 07:35 ) What I don’t love about Grok Bot ( 10:08 ) Grok Bot use cases and my honest verdict ( 12:20 ) Cursor Origin: the agent-native GitHub replacement ( 13:47 ) What Origin actually looks like in practice ( 14:59 ) Why I’m not switching from GitHub yet ( 17:42 ) What would get me to move over ( 18:52 ) Grok 4.6 and the How I AI Vibe bench ( 20:41 ) Claire Index results: where Grok 4.6 ranked ( 23:03 ) Design evals: where Grok surprised me ( 25:00 ) My conclusion and how I’m splitting my time now — Tools referenced: • Grok Bot: https://x.ai/bot • Cursor: https://cursor.com/home • Cursor Origin: https://cursor.com/origin • OpenClaw: https://openclaw.ai/ • GitHub: https://github.com — Where to find Claire Vo: ChatPRD: https://www.chatprd.ai/ Website: https://clairevo.com/ LinkedIn: https://www.linkedin.com/in/clairevo/ X: https://x.com/clairevo — Production and marketing by https://penname.co/ . For inquiries about sponsoring the podcast, email jordan@penname.co.

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  How I AI

  How a solo founder used Codex and ChatGPT to launch a fashion brand without engineers | Yana Welinder

  Aug 17, 202633 min

  Yana Welinder is the solo founder of Yana Bana, an AI-native fashion brand built with AI as her technical co-founder, starting from hand-drawn sketches and ending with runway photos, CAD files for 3D printing, and a live Stripe-connected pre-order site—no engineers required. A former product leader, she brings an operator’s rigor to her creative process: her “fashion prompt” is a detailed spec covering silhouette, volume, fabric behavior, movement, and sound, and watching her use Codex plus computer use to navigate 3D design software that’s entirely new to her is a clarifying demo of what today’s toolset actually makes possible. What you’ll learn: How Yana uses a custom fashion prompt as a technical spec to get consistent, realistic, on-design outputs Why ChatGPT Images 2.0 outperforms other models for fashion design How she uses Codex plus computer use to operate CAD and fashion software she’s never personally learned The workflow for taking a garment from hand-drawn sketch to product photo, runway photo, and influencer shot in a single session How she ran vendor outreach end to end using deep research and browser use How she built a full e-commerce site with voting, databases, and Stripe integration Why she’s testing human patternmakers and Codex in parallel — Brought to you by: Merge —Connective infrastructure for production AI Jira AI SDLC —Get your tokens’ worth with Jira — In this episode, we cover: (00:00) Introducing Yana Welinder and Yana Bana (02:38) Tour of the Yana Bana site (05:20) The fashion prompt stack (07:39) Live demo: generating a jacket from a prompt in ChatGPT (10:01) Why Image Gen 2.0 beats other models (11:51) The “prompt as spec” principle (14:02) Iterating the design (17:12) Using Codex and computer use to build CAD files in 3D software (20:50) Vendor research, outreach emails, and Superhuman browser use (23:34) Building the full e-commerce site (27:40) Quick recap and what’s still hard (30:05) How Yana prompts when AI pushes back (31:15) Where to find Yana and how to vote on her garments — Tools referenced: • ChatGPT (Images 2.0): https://chat.openai.com • Codex (OpenAI): https://openai.com/codex • CLO 3D (fashion pattern software): https://www.clo3d.com • Vercel: https://vercel.com • GitHub: https://github.com • Stripe: https://stripe.com • Superhuman: https://superhuman.com — Other references: • Ruth Asawa: https://ruthasawa.com • SFMOMA (Ruth Asawa): https://www.sfmoma.org/artist/Ruth_Asawa/ — Where to find Yana Welinder: LinkedIn: https://www.linkedin.com/in/ywelinder/ X: https://x.com/yanabana Website: https://www.yanabana.com — Where to find Claire Vo: ChatPRD: https://www.chatprd.ai/ Website: https://clairevo.com/ LinkedIn: https://www.linkedin.com/in/clairevo/ X: https://x.com/clairevo — Production and marketing by https://penname.co/ . For inquiries about sponsoring the podcast, email jordan@penname.co.

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  How I AI

  Claude Code for normal people: skills, voice mode, and how to collaborate with AI

  Aug 10, 202643 min

  Grace Clarke is an AI educator and former marketing consultant who taught herself Claude Code earlier this year and built a curriculum out of the process. She now runs her entire service business on tools she’s built with Claude, including a pipeline operator, a proposal maker, and a Gmail replacement she created in under 30 minutes, and teaches individuals and teams to do the same. What you’ll learn: How to build an hourly pipeline in Claude that moves clients through your process automatically Why Grace ditched traditional proposals for password-protected, interactive HTML documents built in Claude How she uses a “voice guide” skill file so every Claude output sounds like her, not like AI slop The two-step forcing function she teaches non-technical clients to build the muscle of opening Claude Why she started building in Claude Code, then handed the work off to Cowork via a Markdown session file How she replaced Gmail entirely with a custom inbox Why she teaches “intent engineering” instead of prompt engineering, and what that looks like in practice How she uses Claude on her phone, on walks, to track workouts and manage plants alongside client work — Brought to you by: Bolt.new —Turn your idea into a real product Hyperagent —Deploy fleets of agents that handle real work — In this episode, we cover: (00:00) Grace’s background and why she started building with Claude (04:48) The pipeline operator: what it is and how it runs her business every hour (08:48) Building the muscle memory to use AI (12:02) What goes into building a skill file (voice guide, proposal rules, versioning) (13:50) How she built her proposal maker (16:15) The voice guide: teaching Claude how she thinks, not just how she writes (21:22) Live demo of the custom Gmail replacement built in Cowork (30:44) Workout tracking, plant photos, and tiny daily Claude habits (34:51) The biggest misconception holding people back from adopting AI (38:36) What Grace does when Claude is not giving her what she wants (40:38) Claude builds a proposal for Claire in real time — Tools referenced: • Claude: https://claude.ai • Claude Code: https://claude.ai/code • Netlify: https://www.netlify.com • Google Forms: https://forms.google.com • Google Sheets: https://sheets.google.com • Google Cloud (for service accounts and custom connectors): https://cloud.google.com — Other reference: • Stratechery by Ben Thompson: https://stratechery.com — Where to find Grace Clarke: LinkedIn: https://www.linkedin.com/in/gracegclarke/ X: https://x.com/graceclarke — Where to find Claire Vo: ChatPRD: https://www.chatprd.ai/ Website: https://clairevo.com/ LinkedIn: https://www.linkedin.com/in/clairevo/ X: https://x.com/clairevo — Production and marketing by https://penname.co/ . For inquiries about sponsoring the podcast, email jordan@penname.co.

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  How I AI

  Build an AI code review bot in 30 minutes with Vercel Eve

  Aug 5, 202624 min

  AI writes most of my code now, and that created a new problem: a PR queue I couldn’t keep up with. In this episode, I walk through how I built Merge Mommy, a Vercel Eve agent that reads every PR after checks pass, scores it across six risk dimensions, auto-approves the low-risk ones, and pings me in Slack for anything that needs a human. I built the whole thing in one Codex session, it’s SOC 2 compatible, and it’s already cleared my backlog. What you’ll learn: Why AI-generated PRs create a review bottleneck and why the answer isn’t reviewing all of them How Intercom 5x’d PR approval speed and reduced revert rates by putting AI in the review loop Why Vercel Eve is the simplest framework I’ve found for deploying AI agents in Slack and GitHub How I built a full PR review agent in Codex with one prompt and a few steering turns The six components I use to score PR risk (blast radius, reversibility, data security, ops impact, verification gap, and change surface) How I used Chrome browser use to handle Slack bot and GitHub app configuration so I never had to click through setup screens manually Why auto-approved PRs can be SOC 2 compliant as long as the process is auditable, queryable, and in your risk policy How to set up Slack escalation so low-risk PRs become a two-click merge with no manual review — Brought to you by: WorkOS —Make your app Enterprise Ready today — In this episode, we cover: (00:00) The PR review backlog problem nobody’s talking about (02:35) Why you don’t have to review every AI-generated PR (05:14) How Intercom built AI-approved PRs (and proved they’re safer) (06:10) How the Eve framework works (directory, skills, channels, connectors) (09:16) The Codex prompt I used to build the entire bot (11:36) What the agent actually does: read, score, approve, or escalate (13:07) Setting up your Eve agent (15:47) The six-component risk scoring model (17:23) Merge Mommy in action: three live PR examples (21:10) Recap and how to build your own version — Tools referenced: • Vercel Eve: https://vercel.com/eve • Vercel AI SDK: https://sdk.vercel.ai/ • Vercel Chat SDK: https://chat-sdk.dev/ • Codex (OpenAI): https://openai.com/codex — Other references: • AI is approving our pull requests: Here’s how we made it safe: https://www.intercom.com/blog/ai-is-approving-our-pull-requests-heres-how-we-made-it-safe/ — Where to find Claire Vo: ChatPRD: https://www.chatprd.ai/ Website: https://clairevo.com/ LinkedIn: https://www.linkedin.com/in/clairevo/ X: https://x.com/clairevo — Production and marketing by https://penname.co/ . For inquiries about sponsoring the podcast, email jordan@penname.co.

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  How I AI

  ChatGPT Codex Voice + browser + Sites: an expert’s AI workflow | Nick Baumann (OpenAI)

  Aug 3, 202642 min

  Nick Baumann is on the Developer Experience team at OpenAI, where he spends his days building with, testing, and communicating the capabilities of ChatGPT Codex and ChatGPT Work. In this episode, Nick walks me through several features that have launched or evolved recently: the new voice interface with its screen-reading orb, the Heartbeats automation system in ChatGPT Work on mobile, the live ChatGPT Sites deployment feature, and his personal use case for AI-assisted UGC video editing. What you’ll learn: How two-person voice chat works How Heartbeats work How to build and deploy a live website with ChatGPT Sites How to delegate a flight search, hotel booking, and expense report to Codex in a single voice conversation without opening a single app manually Why ChatGPT Work on mobile is the most underutilized AI workflow for people already using the ChatGPT app How to use a custom UGC Video plugin to feed 50 raw clips into ChatGPT, let it pull transcripts, pick the best takes, and assemble a finished vertical video overnight — Brought to you by: Bolt.new —Turn your idea into a real product Hyperagent —Deploy fleets of agents that handle real work — In this episode, we cover: (00:00) Introduction to Nick Baumann (02:56) What’s new in Codex (05:40) ChatGPT Work and Heartbeats (06:40) Live Codex voice demo (13:25) Latency vs. intelligence (14:36) Quick recap (15:04) Voice on mobile and the ChatGPT Sites workflow (21:24) Live UGC video demo (32:30) How I AI website results (34:04) Lightning round and final thoughts — Tools referenced: • ChatGPT Codex: https://chatgpt.com/codex • ChatGPT Sites: https://chatgpt.site — Where to find Nick Baumann: LinkedIn: linkedin.com/in/nick--baumann — Where to find Claire Vo: ChatPRD: https://www.chatprd.ai/ Website: https://clairevo.com/ LinkedIn: https://www.linkedin.com/in/clairevo/ X: https://x.com/clairevo — Production and marketing by https://penname.co/ . For inquiries about sponsoring the podcast, email jordan@penname.co.

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