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How I AI

How I AI

By: Claire Vo
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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.Claire Vo
Episodes
  • Muse review: The personal AI agent that gets consumer UX right

    Muse review: The personal AI agent that gets consumer UX right
    Sep 16 2026
    I spent a few hours putting Meta’s Muse, its new personal AI agent, through a real first-pass test: onboarding, calendar management, goal setting, a one-shot family morning newsletter, browser-based shopping, and the animated avatar that honestly surprised me.What you’ll learn:Why Muse is the best-designed personal agent I’ve tested, and what specifically made it feel that wayThe one-shot family PDF Muse produced that Claude and Codex never quite nailedHow Muse’s permission model works, and why it’s different from every other agent I’ve usedWhy I set up a sleep training goal in Muse, and what it revealed about agent toneThe activity feed feature I immediately wished Codex and Claude Code hadWhere Muse failed, and what it says about the limits of this category right nowThe animated avatar decision that showed me what top-of-craft AI product design actually looks like—Brought to you by:Optimizely—Your AI agent orchestration platform for marketing and digital teamsOpenArt—An all-in-one AI creation platform for images, videos, music, audio, and more—In this episode, we cover:(00:00) What Muse is and who it’s actually built for(04:41) Signing in and the onboarding flow(07:16) The activity feed and its task lineage(08:24) First real task: managing the family calendar and deleting soccer practice(09:48) Requesting a morning newsletter PDF(14:29) The personalized news feed and how I set it up(16:05) The “Ideas” feature as an out-of-the-box prompt library(17:10) Setting up personal goals (water, shoes, and sleep training)(21:40) Library: documents, websites, images, videos, and podcasts(23:11) Quick recap and what I love(23:56) Activity feed design deep dive: tool calls and step-by-step lineage(25:18) How Muse handles permissions(26:12) The animated avatar: Polly becomes Slime, the teal dragon(29:34) Browser use test: shopping for New Balance 9060s (not great)(31:15) Browser use test 2: buying IMAX tickets for The Odyssey (much better)(33:34) TL;DR and what I’ll actually use Muse for going forward—Tools referenced:• Muse: https://muse.ai/• Stripe Link (payment method featured in Muse): https://link.com• 1Password (future Muse integration mentioned): https://1password.com• OpenClaw (Claire’s previous personal agent setup): https://openclaw.ai/• Grok Bot (Grok-based agent from prior stack): https://x.ai/news/introducing-grok-bot• Codex (OpenAI coding agent, comparison point): https://openai.com/codex• NotebookLM (Google, comparison to Muse’s podcast generation): https://notebooklm.google.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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    37 mins
  • How Grok Bot designers use AI agents to build personal sites and product prototypes | John Bai & Peng Zheng

    How Grok Bot designers use AI agents to build personal sites and product prototypes | John Bai & Peng Zheng
    Sep 14 2026
    John Bai and Peng Zheng are designers on the Grok Bot team at SpaceXAI, where they’re building one of the most talked-about AI products right now. John writes publicly about his design process (his piece “Designing Grok Bot with Grok Bot” has already made the rounds) and shares bot templates with the design community. Peng brings a product-design sensibility to personal tools, and his website doubles as a live demo of what he builds.What you’ll learn:How Peng built a self-updating personal website using Grok Bot as the entire backend pipeline, with no CMS and no Figma fileThe exact check-in bot setup that lets Peng send a photo or a place name and have his portfolio update itself automaticallyHow John’s Figma Bro bot handles production design tasks while he’s at the gymHow John uses voice memos to direct Figma work through an MCP connection without opening his laptopThe “shower thought to prototype” workflow John uses with DevBot to test interaction ideas without first going through a product manager or engineerThe “trash can method” of software developmentHow both designers organize their personal bot ecosystemsWhat John and Peng actually think AI means for the future of design as a craft—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and moreVanta—Automate compliance and simplify security—In this episode, we cover:(00:00) Introducing John and Peng(02:53) The Grok Bot hype train(04:35) Peng’s self-updating personal website built with Grok Bot(15:12) How AI makes design more accessible(19:35) Website update result(20:13) John’s Figma Bro bot(23:35) Creating marketing materials for the bot marketplace(26:00) DevBot: from shower thoughts to working prototypes(28:48) The trash can method of software development(31:19) Other bots John and Peng are using(39:05) Practical tips for when bots don’t do what you want—Tools referenced:• Grok Bot (xAI): https://x.ai/bot• Figma: https://www.figma.com• Figma MCP server: https://www.figma.com/mcp-catalog/• Google Places API: https://developers.google.com/maps/documentation/places/web-service• Notion: https://www.notion.so• Swarm (Foursquare): https://www.swarmapp.com—Other references:• Designing Grok Bot with Grok Bot: https://x.ai/bot/guides/designing-grok-bot-with-grok-bot• Figma Bro bot template (shared by John Bai): https://x.ai/bot/marketplace/bots/figma-bro• From zero coding background to hardware hacker: How Cursor + a Raspberry Pi makes AI fun: https://www.lennysnewsletter.com/p/from-zero-coding-background-to-hardware?utm_source=publication-search—Where to find John and Peng:John Bai on X: https://x.com/johnbaiPeng Zheng on X: https://x.com/pengzheng_—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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    42 mins
  • Build your own company brain: the enterprise AI playbook from Stripe’s engineering team | Sharadh Krishnamurthy

    Build your own company brain: the enterprise AI playbook from Stripe’s engineering team | Sharadh Krishnamurthy
    Sep 7 2026

    Sharadh Krishnamurthy is an engineering manager at Stripe, where he helped build Kai, the company’s internal AI agent used by more than 10,000 employees every week. He’s worked across several of Stripe’s core infrastructure teams, including data and developer experience, which gives him a grounded, systems-level perspective on what it actually takes to make AI work at enterprise scale. He’s currently focused on the governance, skills, and infrastructure layers that let every Stripe employee use AI safely and effectively, regardless of their technical background.


    What you’ll learn:

    1. Why Stripe built Kai from scratch instead of buying, and what tipped the decision
    2. What Kai knows about you by default and what you actually control
    3. Why “projects” at Stripe are a governance mechanism, not just a folder
    4. How Stripe structured its data layer so agents can query safely at scale
    5. Why the infrastructure Stripe built for human developers turned out to be exactly what agents needed
    6. How Kai’s skills platform lets any employee package a workflow, and what happens when you have 2,000 of them
    7. What Sharadh learned the hard way when agents nearly took down production systems

    —

    Brought to you by:

    DX—Engineering intelligence for the AI era

    Hyperagent—Deploy fleets of agents that handle real work

    —

    In this episode, we cover:

    (00:00) Introducing Sharadh

    (02:46) Why Stripe built an AI agent (Kai) instead of buying tools

    (05:18) What Kai knows about you (and what you can turn off)

    (06:51) Projects as a governance layer

    (10:04) Live demo: Kai builds a dashboard

    (12:18) Tools, skills, and the secure sandbox

    (17:22) Why Stripe has benefited so much from AI

    (19:20) Agentic identity, load shedding, and rogue agents

    (20:41) Iterating on the dashboard

    (25:01) How they rolled out Kai across the team

    (29:07) How projects work

    (34:18) Bespoke agents for bespoke use cases

    (35:58) The skill builder workflow

    (40:40) Skill quality, evals, and telemetry

    (43:01) Recap

    (45:13) Lightning round

    —

    Tools referenced:

    • Trino: https://trino.io/

    • Anthropic: https://www.anthropic.com/

    • Gemini: https://gemini.google.com/

    • Cursor: https://www.cursor.com/

    —

    Where to find Sharadh Krishnamurthy:

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

    —

    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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    50 mins
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