How I AI

Claire Vo
  • 4.8 (255)
  • Technology
  • Weekly

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.

  1. 3d ago

    How Figma’s PMs actually use AI every day | Ezra Mechaber (PM, Figma)

    Ezra Mechaber is a growth product manager at Figma whose goal is to be “lazy in the right places.” When he joined Figma, he found almost no one outside engineering using AI to get real work done, so he and a couple of fellow PMs turned his personal Claude Code setup into PM OS, a shared repo of 31 skills that every PM at Figma now uses. In this episode, Ezra walks me through his favorite skills, how he bug bashes with Codex, AutoXP—an automated growth PM that found a huge win on its very first experiment—and a real-time writing assistant he built with Jev. What you’ll learn: Why PM OS is a repo, not a productThe skill Ezra runs six times a day to tame SlackHow one repo keeps 60 to 70 PMs in syncWhy his bug-bash agent catches things he never wouldHow AutoXP runs experiments with one human checkpointWhy Jev took over every meeting he was in for two weeksWhat to do when you want to yell at your AI— Brought to you by: Optimizely—Your AI agent orchestration platform for marketing and digital teams Jira Product Discovery—Prioritize with insights, build with confidence — In this episode, we cover: (00:00) Episode preview (00:51) Introduction to Ezra Mechaber (02:04) The origin story of Figma’s PM OS (06:30) PM OS demo: the “chief of staff” setup (10:28) How the repo works: skills, hooks, and private sub-repos (12:00) How the skills got built, roasted, and whittled down (14:15) Build artifact, FigJam MCP, and coaching skills (17:33) Transitioning from the terminal to a local web front end (19:30) Bug bashing with Codex (22:08) AutoXP: an automated growth PM (26:26) Claire’s Experiment Engine backstory (26:58) Building a real-time writing assistant with Jev (33:15) Lightning round and final thoughts — Tools referenced: • Figma: https://www.figma.com/ • FigJam: https://www.figma.com/figjam/ • Figma MCP server: https://developers.figma.com/docs/figma-mcp-server/ • Claude Code: https://www.claude.com/product/claude-code • Codex: https://openai.com/codex/ • Cursor Automations: https://cursor.com/docs/cloud-agent/automations • Jev: https://typesafe.ai/ • Marker: https://marker.page/ • Instinct: https://instinct.com/ • Dots: https://openai.com/index/introducing-dots/ — Other reference: • Jev for beginners: how to use it and what to build: https://www.lennysnewsletter.com/p/jev-for-beginners-how-to-use-it-and — Where to find Ezra Mechaber: X: https://x.com/ezramechaber LinkedIn: https://www.linkedin.com/in/ezra-mechaber Website: https://ezramechaber.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.

    How Figma’s PMs actually use AI every day | Ezra Mechaber (PM, Figma)

  2. Oct 28

    Grok vs. Dot vs. Muse vs. Claude Duet: which one crushes the competition?

    I have personal-agent fatigue, so I ran the first How I AI personal-agent benchmark: Grok Bot, Dot, Muse, and Claude Duet across nine real tasks, from a Slack reply and a Sentry bug to a Figma thumbnail, inbox triage, a family newspaper, physics homework for a fourth grader, shoe shopping, and a ChatPRD launch video. I used computer use to operate them: Claude ran Dot, Codex ran the rest and scored the results live. Here’s the scoreboard—and which agent I’d actually trust for work vs. life. — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more Firecrawl—Give your AI agents web data and beyond — In this episode, we cover: (00:00) Introduction (02:13) The personal-agent benchmark setup (05:00) The nine tasks and the prompts I used (07:20) Scoreboard overview (10:06) Task 1: Draft a Slack reply as me (11:39) Task 2: Cut a short-form video from raw Dropbox footage (14:56) Task 3: Fix a bug from Sentry (17:30) Task 4: Build a How I AI thumbnail in Figma (19:25) Task 5: Triage my inbox for to-dos (21:06) Task 6: Build a family newspaper (23:30) Task 7: Explain a physics homework question to a fourth grader (24:54) Task 8: Shop for shoes (26:46) Task 9: Make a ChatPRD Product Intelligence launch video (30:01) Final scores (32:38) My takeaways — Tools referenced: • Grok Bot: https://x.ai/bot • Dot: https://chatgpt.com/features/dots/ • Meta Muse: https://ai.meta.com/muse/ • Claude Duet: https://claude.com/product/claude-duet • Codex: https://openai.com/codex • ElevenLabs: https://elevenlabs.io/ • Figma: https://www.figma.com/ • Sentry: https://sentry.io/ • Linear: https://linear.app/ • Dropbox: https://www.dropbox.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.

    Grok vs. Dot vs. Muse vs. Claude Duet: which one crushes the competition?

  3. Oct 26

    Why Reddit built its own AI prototyping tool | Blair Metcalf

    Blair Metcalf is the principal UX engineer at Reddit and the builder of Reddit Proto, the company’s in-house vibe-coding harness. With a design system MCP that maps Reddit’s product language to production code, Proto has reached 100% adoption across Reddit’s UX and product org, and more than 700 prototypes are live on it. What you’ll learn: Why Reddit built its own prototyping harnessHow designers share prototypes with leadership safelyWhy real Reddit data beats mock dataHow one annotation becomes a code edit in CursorWhat a “feature capsule” isWhy Blair built a “Rosetta stone”Blair’s surprising fix when AI goes sidewaysWho turned out to be Reddit’s best prototypers— This entire episode is brought to you by: Firecrawl—Give your AI agents web data and beyond — In this episode, we cover: (00:00) Introduction to Blair (02:31) Reddit Proto demo (09:15) Annotations to Cursor: the targeted edit workflow (11:19) Internal deployment and adoption (14:14) How leadership reviews and gives feedback (15:52) Engineering handoff and the feature capsule (17:50) How the custom MCP was built (21:41) Quick recap (24:55) Lightning round and final thoughts — Tools referenced: • Cursor: https://www.cursor.com/ • Figma: https://www.figma.com/ • Figma MCP (Figma’s Model Context Protocol integration): https://www.figma.com/mcp-catalog/ • Code Connect (Figma’s code mapping tool): https://www.figma.com/developers/code-connect • Gemini: https://gemini.google.com/ • ChatGPT: https://chatgpt.com/ • Vercel (referenced as inspiration for internal deploy infra): https://vercel.com/ — Other references: • Reddit: https://www.reddit.com/ • Kubernetes: https://kubernetes.io/ — Where to find Blair Metcalf: LinkedIn: https://www.linkedin.com/in/jblairmetcalf — 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.

    Why Reddit built its own AI prototyping tool | Blair Metcalf

  4. Oct 21

    Claude Duet is beautiful. I still forgot to use it

    Anthropic's new personal agent, Claude Duet, lives on your phone, inherits all your Claude plugins and connectors, and is pitched at small business owners and busy professionals. It's the most polished agent launch I've seen: thoughtful onboarding, task lists, first-class artifacts, and Slack-style channels. But polish isn't enough when you're competing with every other personal agent for attention. I put it to work on my inbox and Slack, my sales pipeline, a Google Docs sales deck, a launch video, and finding Warriors tickets for my kids, and I'll walk you through what it nails, where it stalls, and what Anthropic needs to fix before it can become anyone's number one agent. What you’ll learn: What Claude Duet is and who Anthropic built it forThe design details that make it far more polished than other personal agent launchesHow task lists, artifacts, and channels work as agent primitivesWhy a “proactive” agent that never nudges you is a growth problemHow model latency kills your willingness to work with an agent synchronouslyWhere it fell short on real tasks, from inbox triage to sales decks to launch videosWhy missing desktop and multiplayer support keeps it out of my working stack— In this episode, we cover: (00:00) Personal agent fatigue: does Claude Duet make the cut? (00:40) What Claude Duet is and who it’s for (01:39) Why the design polish stands out (03:06) Task lists, artifacts, and channels (04:53) The icon (05:27) What I didn’t like: not proactive enough (07:02) Testing it on email, Slack, and Warriors tickets (07:41) Why latency matters so much in a personal agent (10:20) The missing desktop app (12:12) Sales pipeline and a Google Docs deck (13:10) Launch videos and the local skills gap (14:00) Single-player vs. multiplayer agents (15:05) Final verdict — Tools referenced: • Claude Duet (Anthropic): https://claude.com/resources/articles/claude-duet • Claude Duet Waitlist: https://claude.com/product/claude-duet • Claude Cowork: https://claude.com/product/cowork • Meta Muse: https://muse.ai/ • Codex (OpenAI): https://openai.com/codex • Grok Bot: https://x.ai/bot — 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.

    Claude Duet is beautiful. I still forgot to use it

  5. Oct 19

    “Claude cuts my TikTok”: How this creator is scaling video with AI | Brooke Lacey

    Brooke Lacey has been making videos since before Facebook had video, and she built a TikTok audience of more than 290,000 by learning to cut short-form videos herself. With over 25 years in tech, she now builds her own apps, including Zosha, a free mobile app for learning AI. In this episode, Brooke walks me through the Claude Code, FFmpeg, and Whisper workflow that edits her TikToks in about 15 seconds, how she mines her comments for new scripts, and how she runs a weekly short-form operation with no editor. What you’ll learn: How Claude Code edits a raw phone video on her computer in about 15 secondsHow she taught Claude her jump-cut cadenceWhy her TikTok comments became her content briefHow she keeps growing her audience while posting just once a week—and what’s nextWhat over 25 years in tech taught her about this AI moment— Brought to you by: Firecrawl—Give your AI agents web data and beyond Auros—The human network behind AI — In this episode, we cover: (00:00) Intro and guest welcome (02:30) Brooke’s background in video (06:56) Her first session cutting videos with Claude Code (08:51) Live demo: Claude edits a video in real time (11:05) Walking through the edit chain (15:58) How she taught Claude her cadence, her hooks, and what funny sounds like (25:36) Quick recap (26:20) Posting frequency, live streaming plans, and TikTok ads (28:00) Lightning round: Gen X, wisened experience, and YOLO energy (32:43) When Claude disappoints: the lane OS, status files, and how she prompts it back (34:50) Where to find Brooke and the Zosha app — Tools referenced: • Claude Code: https://claude.ai/code • FFmpeg: https://ffmpeg.org • Whisper (OpenAI): https://openai.com/research/whisper — Other reference: • How I AI episode with John Blackman (91-year-old vibe coder): https://www.lennysnewsletter.com/p/how-a-91-year-old-vibe-coded-a-complex?utm_source=publication-search — Where to find Brooke: TikTok: https://www.tiktok.com/@brookejlacey X: https://x.com/brookejlacey Zosha app: http://zosha.app/ — 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.

    “Claude cuts my TikTok”: How this creator is scaling video with AI | Brooke Lacey

  6. Oct 14

    Meta’s new ‘Muse Wonder’ model: good for AI agents, bad for design

    I put Meta’s new Muse Wonder (and Wonder Full) frontier models through the How I AI bench, which covers nearly 20 tasks across prototyping, agentic workflows, coding, writing, and creative work. I scored everything with an LLM-as-a-judge pass and my own voice notes, then pulled together the first-look results you see here. What you’ll learn: ​Why Meta’s “personal and professional agent” framing mostly holds up, and where it doesn’t​What active focus mode actually does on long-running tasks, and whether it’s real​The three agentic tasks where Muse ranked first, and why those categories matter​What Muse’s design output actually looks like (it’s not good)​How it compares to Sonnet on voice assistant tasks​Where Muse lands on SVG and short-form video versus Opus 5.5, Astra, and Fable​Whether I’m actually putting Muse into any of my agent workflows— Brought to you by: DX—Engineering intelligence for the AI era Jira Product Discovery—Prioritize with insights, build with confidence — In this episode, we cover: (00:00) Intro and what Muse Wonder is (01:19) Meta's frontier capability claims (04:36) Muse code (06:06) Benchmark overview and how the How I AI bench works (07:51) Overall results and TL;DR verdict (11:53) Agentic tasks (13:36) Email writing and voice assistant performance (14:35) Where Muse falls short (18:28) SVG illustration results (19:33) Short-form video editing (21:18) Fast on one-shot work, slow on agent tasks (22:15) Final verdict and where I'll use Muse Wonder next — Tools referenced: ​ Meta Muse Wonder / Muse Wonder Full: https://research.meta.ai/blog/muse-wonder​ Muse Code: https://developer.meta.com/ai/lp/muse-code— 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.

    Meta’s new ‘Muse Wonder’ model: good for AI agents, bad for design

  7. Oct 12

    How Meta designed Muse: an AI agent people actually want to talk to | Alex Cornell (Design Director)

    Alex Cornell is a design director at Meta, where he leads design on Muse, Meta’s consumer AI agent. He came to the role with a long background in software product design, including time as a founder, and has spent the past year building one of the most thoughtful agent interfaces in the consumer AI space. Muse ships with a custom avatar, a three-layer status display, a personalized ideas surface, and a generative feed. Alex has been sharing the reasoning behind each of those design decisions publicly on Threads. What you’ll learn: Why Alex built Muse to feel like messaging, not an AI appHow Muse’s three-layer status system accommodates different levels of technical expertiseWhat generative UI actually means in a shipped consumer productHow Alex turned years of forgotten Instagram saves into a daily shopping catalogWhy his mom apologized to her Muse, and what it means for AI designHow he uses Muse to track his golf game, shot by shot, as he works toward a single-digit handicapThe mindset shift designers need when the output is never pixel-perfectWhen to use the main chat versus a side chat, and where the architecture still falls short— Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more — In this episode, we cover: (00:00) Welcome and guest intro (02:50) Designing Muse (05:33) Choosing which primitives to surface: characters, ideas, feed (08:50) Speed of model and response times (11:01) Generative UI and personalization (14:25) SkyMall demo: Instagram saves turned into a shopping catalog (17:16) Shopping, monitoring, and price alerts with Muse (19:07) Instagram and Pinterest connectors for visual data (21:40) Golf use case: round recaps, shot data, practice breakdowns (25:28) Main chat versus side chats (27:56) Old blog turned morning podcast: 20 years of posts via the Wayback Machine (29:39) Chess dashboard: game analysis with a snarky coach (30:59) What designers need to learn for AI, and what still works (34:33) Prompting strategy when Muse is being obstinate (36:31) Where to find Alex — Tools referenced: • Meta Muse: https://muse.ai — Other references: • The Wayback Machine: https://web.archive.org • Instagram: https://www.instagram.com • Pinterest: https://www.pinterest.com • Chess.com: https://www.chess.com • SkyMall/Sharper Image aesthetic: https://www.skymall.com — Where to find Alex Cornell: LinkedIn: linkedin.com/in/alex-cornell-5449a99 X: https://x.com/alexcornell — 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.

    How Meta designed Muse: an AI agent people actually want to talk to | Alex Cornell (Design Director)

  8. Oct 5

    How OpenAI uses ChatGPT Sites (live at DevDay!) | Kath Korevec (Product Lead)

    Kath Korevec is a member of the Product staff at OpenAI working on Codex, and she spent over a year building and using ChatGPT Sites internally before its public launch. She’s been on the front lines of shipping Plugin Insights, MCP plugin hosting, and the connector ecosystem, which now includes around 60 integrations. What you’ll learn: What Plugin Insights actually does, and why it changes who can use a siteThe incident command site Kath built for her OpenAI team, and how it uses live Slack and Notion connectorsThe one phrase that tells Codex to wire up connectors for youThe infrastructure layer inside Sites that most people haven’t touched yetHow Kath fixed her Spotify after her kids wrecked it, using Reddit and computer useThe skill distribution model behind her community dungeon crawler, and why it’s a new way to think about collaborationWhy model speed is what actually determines how creative you getWhere Kath draws a hard line on AI acting in her name— Brought to you by: Merge—Connective infrastructure for production AI Vanta—Automate compliance and simplify security — In this episode, we cover: (00:00) Welcome and intro (01:00) Sites: internal testing and use cases (05:53) Sites infrastructure (09:00) Kath’s favorite connectors (11:10) Unique ways to use Sites (12:28) Curating a custom Spotify playlist (15:50) Game design and development (25:42) Bringing inference into Sites: the widget experiment (30:00) Awesome Sites gallery (31:57) Kath’s prompting strategy (34:20) Wrap-up and how to find Kath — Tools referenced: • ChatGPT Sites: https://chatgpt.com/sites • OpenAI Codex: https://openai.com/codex — Other references: • OpenAI DevDay: https://openai.com/devday • Awesome Sites: https://awesomesites.ai — Where to find Kath Korevec: LinkedIn: https://www.linkedin.com/in/kathleensimpson/?isSelfProfile=false X: https://x.com/simpsoka — 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.

    How OpenAI uses ChatGPT Sites (live at DevDay!) | Kath Korevec (Product Lead)
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About

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.

Information

  • Creator
    Claire Vo
  • Years Active
    2025 - 2026
  • Episodes
    123
  • Rating
    Clean
  • Copyright
    © Claire Vo
  • Show Website
    How I AI

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