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How I AI

Podcast by Claire Vo

English

Technology & science

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About 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.

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76 episodes

episode What launched at Google I/O 2026 (30-minute day 1 recap) artwork

What launched at Google I/O 2026 (30-minute day 1 recap)

Today is day one of Google I/O 2026, and I walk through every major announcement live—from the new Gemini 3.5 model family to Anti-Gravity 2.0, Google AI Studio, Gemini’s consumer redesign, the Omni video model, Flow, Stitch, and Pomelli. I test them in real time and tell you exactly which ones delivered. What you’ll learn: 1. How Gemini 3.5 Flash benchmarks against Claude and GPT models on speed and agentic coding tasks 2. How Anti-Gravity 2.0’s new features (projects, scheduled tasks, subagents, slash commands) compare to Codex and Claude Code 3. Why the /grill-me slash command could be a more aggressive alternative to Claude Code’s clarification flow—and how to use it 4. How Google AI Studio’s new Workspace integration is designed to own the internal productivity app use case 5. How Google’s new creative tools work in practice: Omni (video generation), Flow (cinematic video editing and character consistency), Stitch (streaming UI design with inline edits), and Pomelli (brand identity and asset generation) 6. Why Google’s launch-to-availability gap is still a problem—and what to do when a featured product doesn’t actually work yet — Brought to you by: Magic Patterns [https://magicpatterns.com/howiai]—Prototypes that look like your product Thoughtspot [https://go.thoughtspot.com/howIAI]—Build AI-powered analytics into your product — In this episode, we cover: (00:00) Google I/O 2026 day 1 overview (01:47) Gemini 3.5 flash (04:19) Antigravity updates (06:32) CLI test and agent features (07:59) Core agent features released today—May 19th, 2026 (09:43) New slash commands (11:20) Antigravity test results and takeaways (12:25) AI Studio updates (13:52) Access issues (15:20) Gemini redesign (17:24) Gemini image gen test (19:16) Omni (video generation) (22:56) Flow (cinematic editing) (24:31) Avatar creation test (26:45) Pomelli and Stitch (31:13) Recap and final thoughts — Tools referenced: • Gemini 3.5 Flash: https://deepmind.google/technologies/gemini/ [https://deepmind.google/technologies/gemini/] • Antigravity: https://antigravity.google/ [https://antigravity.google/] • Google AI Studio: https://aistudio.google.com/ [https://aistudio.google.com/] • Google Gemini: https://gemini.google.com/ [https://gemini.google.com/] • Omni (video generation): https://deepmind.google/technologies/veo/https://gemini.google/overview/video-generation/ [https://gemini.google/overview/video-generation/] • Google Flow: https://flow.google/ [https://flow.google/] • Stitch: https://stitch.withgoogle.com/ [https://stitch.withgoogle.com/] • Pomelli (Google brand tool): https://labs.google.com/pomelli/about/ [https://labs.google.com/pomelli/about/] — Other references: • Google I/O 2026 announcements: https://blog.google/innovation-and-ai/sundar-pichai-io-2026/ [https://blog.google/innovation-and-ai/sundar-pichai-io-2026/] — Where to find Claire Vo: ChatPRD: https://www.chatprd.ai/ [https://www.chatprd.ai/] Website: https://clairevo.com/ [https://clairevo.com/] LinkedIn: https://www.linkedin.com/in/clairevo/ [https://www.linkedin.com/in/clairevo/] X: https://x.com/clairevo [https://x.com/clairevo] — Production and marketing by https://penname.co/ [https://penname.co/]. For inquiries about sponsoring the podcast, email jordan@penname.co.

20 May 2026 - 33 min
episode HTML is the new Markdown: How Anthropic engineers are building with Claude Code | Thariq Shihipar artwork

HTML is the new Markdown: How Anthropic engineers are building with Claude Code | Thariq Shihipar

Thariq Shihipar is an engineer at Anthropic working on the Claude Code team. He’s spent the past several months experimenting with HTML as a replacement for Markdown in planning and implementation workflows, discovering that richer visual formats lead to better human engagement—and, ultimately, better products. In this episode, filmed at Anthropic’s Code with Claude event in San Francisco, Thariq demonstrates how to use HTML artifacts to create interactive plans, build throwaway UIs for specific problems, and maintain living design systems that travel with your codebase. What you’ll learn: 1. Why HTML has replaced Markdown as the ideal format for AI agent communication and planning 2. How to brainstorm in HTML to get visual mockups and interactive demos instead of text lists 3. The technique for building throwaway micro-UIs to edit specific parts of your plan 4. How to create a living design system in HTML that lives in your repo and travels with every project 5. Why “complexity has to earn its keep” and how HTML helps you stay in the loop without over-constraining Claude 6. The prompting technique that gives Claude flexibility while ensuring that you get what you need 7. Why 99% of your AI-generated tokens should go to planning, interfaces, and communication—not production code — Brought to you by: Celigo [https://celigo.com/howIAI]—Intelligent automation built for AI Persona [https://withpersona.com/lp/howiai]—Trusted identity verification for any use case — In this episode, we cover: (00:00) Introduction (02:39) HTML as the new Markdown (04:30) The compute allocator mindset (05:51) How HTML makes specs more engaging (06:48) Demo: Brainstorming in HTML with Claude Code (09:24) From brainstorm to full implementation plan (11:20) Prompting philosophy: Trust Claude but give it constraints (13:50) The future of PRDs and tech specs (18:16) Making HTML specs editable (20:23) The abundance mindset (24:17) Just-in-time documentation and throwaway software (25:39) Using plans as artifacts for implementation (26:39) Demo: Living design systems in HTML (30:16) Adding comments and annotations to HTML plans (31:42) Recap: The HTML workflow (32:21) Lightning round and final thoughts — Tools referenced: • Claude Code: https://claude.ai/code [https://claude.ai/code] • Claude Design: https://claude.ai/design [https://claude.ai/design] • AWS: https://aws.amazon.com/ [https://aws.amazon.com/] • Figma: https://www.figma.com/ [https://www.figma.com/] • GitHub: https://github.com/ [https://github.com/] — Other references: • Anthropic Code with Claude event: https://claude.com/code-with-claude [https://claude.com/code-with-claude] • SpaceX partnership announcement: https://www.anthropic.com/news/higher-limits-spacex [https://www.anthropic.com/news/higher-limits-spacex] • Jevons paradox: https://en.wikipedia.org/wiki/Jevons_paradox [https://en.wikipedia.org/wiki/Jevons_paradox] — Where to find Thariq Shihipar: Website: https://www.thariq.io/ [https://www.thariq.io/] LinkedIn: https://www.linkedin.com/in/thariqshihipar/ [https://www.linkedin.com/in/thariqshihipar/] X: https://x.com/trq212 [https://x.com/trq212?lang=en] GitHub: https://github.com/ThariqS [https://github.com/ThariqS] — Where to find Claire Vo: ChatPRD: https://www.chatprd.ai/ [https://www.chatprd.ai/] Website: https://clairevo.com/ [https://clairevo.com/] LinkedIn: https://www.linkedin.com/in/clairevo/ [https://www.linkedin.com/in/clairevo/] X: https://x.com/clairevo [https://x.com/clairevo] — Production and marketing by https://penname.co/ [https://penname.co/]. For inquiries about sponsoring the podcast, email jordan@penname.co.

18 May 2026 - 35 min
episode Spec-driven development: The AI engineering workflow at Notion | Ryan Nystrom artwork

Spec-driven development: The AI engineering workflow at Notion | Ryan Nystrom

Ryan Nystrom is a software engineer at Notion. He joined in December 2024 after Notion acquired Campsite, the team communication platform he co-founded with Brian Lovin. At Notion, he’s been a core builder of Notion AI and the Custom Agents feature launched in February 2026. He manages a team of six to seven engineers while still writing code himself, currently running Project Afterburner, a push to cut Notion’s CI time to a quarter of its current duration. What you’ll learn: 1. How to build a Notion AI custom agent that auto-generates your daily standup pre-read by pulling from Slack, GitHub, Honeycomb metrics, and yesterday’s meeting transcript 2. How to configure subagents and MCP integrations within Notion AI 3. How Notion’s internal “Boxy” system lets engineers @mention Codex from within Notion comments and get a full pull request with screenshots in 20 minutes 4. The spec-first development workflow: dictate an idea into Whisper, have Codex format it as a proper spec, commit it to the repo, and let the agent implement and verify it autonomously 5. Why fast CI is absolutely critical in the age of AI coding agents 6. How to prompt AI coding agents to defend their reasoning under pushback 7. Why engineering managers and even senior executives should keep writing code — Brought to you by: WorkOS [https://workos.com/?utm_source=lennys_howiai&utm_medium=podcast&utm_campaign=q22025]—Make your app enterprise-ready today Orkes [https://www.orkes.io/]—The enterprise platform for reliable applications and agentic workflows — In this episode, we cover: (00:00) Introduction to Ryan Nystrom (02:48) How AI has upended 12+ years of the same working routine (04:30) Project Afterburner: Notion’s push to cut CI time to a quarter (09:00) Why high-frequency, high-quality meetings beat lower-frequency standups (11:10) How automated context surfaces every engineer’s work equally (12:15) Why cutting meeting prep is a burnout protection mechanism (14:26) The case for engineering managers writing code (16:13) Inside “Boxy”: Notion’s internal VM-based background agent system (20:30) Old World vs. New World code review (24:51) Prompting Codex from Notion comments (29:20) The emotions around code review (31:01) Quick recap (32:00) Spec-first development: writing and checking agent specs into the repo (35:10) The spec as changelog: version control for how a feature actually works (37:53) How engineers’ roles are evolving (39:00) Lightning round (45:21) Where to find Ryan — Tools referenced: • Notion AI: https://www.notion.com/product/ai [https://www.notion.com/product/ai] • Notion Custom Agents: https://www.notion.com/blog/introducing-custom-agents [https://www.notion.com/blog/introducing-custom-agents] • Codex (OpenAI): https://openai.com/codex [https://openai.com/codex] • Claude Code (Anthropic): https://claude.ai/code [https://claude.ai/code] • Honeycomb (observability + MCP): https://www.honeycomb.io [https://www.honeycomb.io/] • Whisper (OpenAI voice transcription): https://openai.com/research/whisper [https://openai.com/research/whisper] • Slack: https://slack.com [https://slack.com/] • GitHub: https://github.com [https://github.com/] — Other references: • How Stripe built “minions”—AI coding agents that ship 1,300 PRs weekly from Slack reactions | Steve Kaliski (Stripe): https://www.chatprd.ai/how-i-ai/stripes-ai-minions-ship-1300-prs-weekly-from-a-slack-emoji [https://www.chatprd.ai/how-i-ai/stripes-ai-minions-ship-1300-prs-weekly-from-a-slack-emoji] • Notion 3.3 Custom Agents launch (February 24, 2026): https://www.notion.com/releases/2026-02-24 [https://www.notion.com/releases/2026-02-24] — Where to find Ryan Nystrom: X: https://x.com/ryannystrom [https://x.com/ryannystrom] LinkedIn: https://www.linkedin.com/in/ryannystrom/ [https://www.linkedin.com/in/ryannystrom/] GitHub: https://github.com/rnystrom [https://github.com/rnystrom] — Where to find Claire Vo: ChatPRD: https://www.chatprd.ai/ [https://www.chatprd.ai/] Website: https://clairevo.com/ [https://clairevo.com/] LinkedIn: https://www.linkedin.com/in/clairevo/ [https://www.linkedin.com/in/clairevo/] X: https://x.com/clairevo [https://x.com/clairevo] — Production and marketing by https://penname.co/ [https://penname.co/]. For inquiries about sponsoring the podcast, email jordan@penname.co.

11 May 2026 - 47 min
episode Code with Claude: The 5 biggest updates explained artwork

Code with Claude: The 5 biggest updates explained

Claire breaks down the biggest announcements from Anthropic’s “Code with Claude” event and what they actually mean for builders shipping AI products today. From scheduled AI routines to outcome-based agents, multi-agent orchestration, and new memory systems, Claire walks through the features she’s most excited to use immediately—and how they could reshape the future of agentic software. What you’ll learn: 1. How Claude Code routines let you automate recurring workflows on schedules or webhooks 2. What “Outcomes” are and how rubric-based agent grading works 3. How multi-agent orchestration enables specialized AI teams with different roles and tools 4. Why Anthropic’s new “Dreams” memory system matters for long-term agent behavior 5. Why increased Claude Code usage limits are a bigger deal than they sound 6. How Claire thinks about building practical agentic products today — Resources: • Code with Claude: https://claude.com/code-with-claude [https://claude.com/code-with-claude] • Claude Code Routines Docs: https://code.claude.com/docs/en/routines [https://code.claude.com/docs/en/routines] • Define Outcomes Docs: https://platform.claude.com/docs/en/managed-agents/define-outcomes [https://platform.claude.com/docs/en/managed-agents/define-outcomes] • Dreams Docs: https://platform.claude.com/docs/en/managed-agents/dreams [https://platform.claude.com/docs/en/managed-agents/dreams] • Multi-Agent Docs: https://platform.claude.com/docs/en/managed-agents/multi-agent [https://platform.claude.com/docs/en/managed-agents/multi-agent] • Managed Agent Webhooks Docs: https://platform.claude.com/docs/en/managed-agents/webhooks#supported-event-types [https://platform.claude.com/docs/en/managed-agents/webhooks#supported-event-types] • Codex (OpenAI): https://openai.com/codex [https://openai.com/codex] • GitHub: https://github.com [https://github.com/] — Where to find Claire Vo: ChatPRD: https://www.chatprd.ai/ [https://www.chatprd.ai/] Website: https://clairevo.com/ [https://clairevo.com/] LinkedIn: https://www.linkedin.com/in/clairevo/ [https://www.linkedin.com/in/clairevo/] X: https://x.com/clairevo [https://x.com/clairevo] — Production and marketing by https://penname.co/ [https://penname.co/]. For inquiries about sponsoring the podcast, email jordan@penname.co.

7 May 2026 - 11 min
episode Quests, token leaderboards, and a skills marketplace: The elite AI adoption playbook | John Kim (Sendbird) artwork

Quests, token leaderboards, and a skills marketplace: The elite AI adoption playbook | John Kim (Sendbird)

John Kim is the co-founder and CEO of Delight.ai, a customer experience platform that’s transforming how companies deploy AI. But what makes John’s story fascinating isn’t just his product; it’s how he’s turned his entire company into an AI-native organization. His marketing team built a fully functional e-commerce swag store with Stripe integration in days. His sales team built their own CRM tools. His recruiting team automated their entire workflow. And it’s all tracked, measured, and celebrated through an internal platform called Automators. What you’ll learn: 1. How Sendbird’s marketing team built a fully functional swag store with Stripe integration in a day (with no engineering support) 2. How the Automators platform works—an internal marketplace where anyone can request AI tools and engineers (or AI agents) can build them 3. How to create secure, compliant templates so non-technical teams can ship to production safely 4. How Sendbird built a token usage dashboard with five tiers (beginner through AI God) and why tracking the smoothness of the curve matters more than the total 5. Why visible leadership usage is the most powerful adoption signal 6. Why Sendbird rewrote job descriptions to prioritize curiosity, agency, and energy over years of experience 7. How John uses AI for his own learning — Brought to you by: WorkOS [https://workos.com/?utm_source=lennys_howiai&utm_medium=podcast&utm_campaign=q22025]—Make your app enterprise-ready today ThoughtSpot [http://go.thoughtspot.com/howIAI]—Build AI-powered analytics into your product — In this episode, we cover: (00:00 [https://www.youtube.com/watch?v=uH39OZ-KnkY]) Introduction to John Kim (02:45 [https://www.youtube.com/watch?v=uH39OZ-KnkY&t=165s]) The Delight.ai swag store built by marketing in two days (05:51 [https://www.youtube.com/watch?v=uH39OZ-KnkY&t=351s]) The before times: when fun had to earn its place on the roadmap (07:55 [https://www.youtube.com/watch?v=uH39OZ-KnkY&t=475s]) Demo: The Automators platform and quest system (13:47 [https://www.youtube.com/watch?v=uH39OZ-KnkY&t=827s]) The AI Engineer for Internal Operations role (16:06 [https://www.youtube.com/watch?v=uH39OZ-KnkY&t=966s]) Demo: The company-wide skills marketplace (17:19 [https://www.youtube.com/watch?v=uH39OZ-KnkY&t=1039s]) Treating AI adoption as a product (18:43 [https://www.youtube.com/watch?v=uH39OZ-KnkY&t=1123s]) Real wins: team-level and campaign examples (21:51 [https://www.youtube.com/watch?v=uH39OZ-KnkY&t=1311s]) Why SaaS isn’t dead—it’s being rebuilt internally (23:46 [https://www.youtube.com/watch?v=uH39OZ-KnkY&t=1426s]) Demo: The token tracking dashboard (26:32 [https://www.youtube.com/watch?v=uH39OZ-KnkY&t=1592s]) Measuring without fear: setting expectations, not punishments (28:54 [https://www.youtube.com/watch?v=uH39OZ-KnkY&t=1734s]) Quick recap (30:51 [https://www.youtube.com/watch?v=uH39OZ-KnkY&t=1851s]) Personal AI use cases: endless knowledge at your fingertips (36:15 [https://www.youtube.com/watch?v=uH39OZ-KnkY&t=2175s]) Lightning round and final thoughts — Tools referenced: • Claude Code: https://claude.ai/code [https://claude.ai/code] • Codex (OpenAI): https://openai.com/codex [https://openai.com/codex] • Obsidian: https://obsidian.md [https://obsidian.md/] • GitHub: https://github.com [https://github.com/] • Stripe: https://stripe.com [https://stripe.com/] — Other references: • Jason Levin (CEO of Memelord) on How I AI: https://www.lennysnewsletter.com/p/from-a-690-newsletter-to-3m-api-how [https://www.lennysnewsletter.com/p/from-a-690-newsletter-to-3m-api-how] • Konami Code: https://en.wikipedia.org/wiki/Konami_Code [https://en.wikipedia.org/wiki/Konami_Code] • Andrew Huberman’s podcast: https://hubermanlab.com/ [https://hubermanlab.com/] • Y Combinator: https://www.ycombinator.com/ [https://www.ycombinator.com/] — Where to find John Kim: X: https://x.com/doshkim [https://x.com/doshkim] Instagram: https://instagram.com/dosh [https://instagram.com/dosh] LinkedIn: https://www.linkedin.com/in/doshkim/ [https://www.linkedin.com/in/doshkim/] Company: https://delight.ai [https://delight.ai/] Delight.ai Spark Conference (May 7, SF): https://delight.ai/spark [https://delight.ai/spark] — Where to find Claire Vo: ChatPRD: https://www.chatprd.ai/ [https://www.chatprd.ai/] Website: https://clairevo.com/ [https://clairevo.com/] LinkedIn: https://www.linkedin.com/in/clairevo/ [https://www.linkedin.com/in/clairevo/] X: https://x.com/clairevo [https://x.com/clairevo] — Production and marketing by https://penname.co/ [https://penname.co/]. For inquiries about sponsoring the podcast, email jordan@penname.co.

6 May 2026 - 42 min
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En fantastisk app med et enormt stort udvalg af spændende podcasts. Podimo formår virkelig at lave godt indhold, der takler de lidt mere svære emner. At der så også er lydbøger oveni til en billig pris, gør at det er blevet min favorit app.
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