How I AI

How I AI

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

33 min · 20. maj 2026
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episode What launched at Google I/O 2026 (30-minute day 1 recap) cover

Description

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.

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84 episodes

episode How Braintrust uses AI agents, evals, and CI to ship better software | Ankur Goyal artwork

How Braintrust uses AI agents, evals, and CI to ship better software | Ankur Goyal

In this episode, I sit down with Ankur Goyal, founder and CEO of Braintrust, the AI evals and observability platform used by teams like Notion, Stripe, Vercel, and Zapier. This one is for the senior engineers, staff engineers, VPs of engineering, and CTOs in my audience. We get into how coding agents can take on deeply technical architecture and infrastructure work that no single human engineer could tackle before, and then we demystify evals so you can use them to make your AI products better without touching the implementation. What you’ll learn: 1. How Ankur uses Codex to run week-long benchmark experiments across database indexes, column store formats, and execution engines to speed up slow queries 2. Why he argues there’s no excuse to skip rigorous benchmarking now that agents can run them tirelessly 3. The “agent line” framework: how to decide which decisions, directions, and interactions you can hand off to an agent 4. How I think about the practical vs. theoretical quality of AI on hard technical problems, and why human attention decays on tedious work 5. Why evals are the modern version of a PRD, and how to encode “what good looks like” so a model can figure out the “how” 6. How to build a scoring function live and let an agent improve your prompt inside a safe playground 7. How Ankur turned his designer David’s taste into a repeatable eval so quality scales beyond one person 8. Why fixing your CI is the highest-leverage way to speed up engineering velocity — Brought to you by: Guru [https://www.getguru.com/?utm_source=howi_ai_podcast&utm_medium=podcast&utm_campaign=q1]—The AI layer of truth Persona [https://withpersona.com/lp/howiai]—Trusted identity verification for any use case — In this episode, we cover: (00:00) Introduction to Ankur Goyal (03:00) Using AI agents for database optimization (06:10) Running exhaustive benchmarks with coding agents (09:03) Why staff engineers are wrong about AI limitations (11:30) The “agent line” framework for delegation (14:00) Ankur’s workflow: running 4 to 6 concurrent agents (17:16) Technical setup: foreground agents, background agents, and cloud environments (20:32) Spending time with AI tools (23:06) Demystifying evals (26:02) Live demo: Building an eval for documentation answers (30:20) The alternative to evals: vibe checks and whack-a-mole (32:09) Capturing designer taste in scoring functions (33:13) Quick recap (33:44) Managing velocity and throughput (35:40) Why CI/CD investment is critical for AI-accelerated teams (37:30) Ankur’s prompting strategy when agents fail (39:10) Closing thoughts and how to connect — Tools referenced: • Braintrust: https://www.braintrust.dev/ [https://www.braintrust.dev/] • Codex: https://openai.com/codex/ [https://openai.com/codex/] • GPT 5.4: https://developers.openai.com/api/docs/models/gpt-5.4 [https://developers.openai.com/api/docs/models/gpt-5.4] • Claude: https://claude.ai/ [https://claude.ai/] — Other references: • GPT 5.5 just did what no other model could: https://www.lennysnewsletter.com/p/gpt-55-just-did-what-no-other-model [https://www.lennysnewsletter.com/p/gpt-55-just-did-what-no-other-model] • Paul Graham’s Maker vs. Manager Schedule: http://www.paulgraham.com/makersschedule.html [http://www.paulgraham.com/makersschedule.html] • tmux: https://github.com/tmux/tmux [https://github.com/tmux/tmux] • Chris Tate at Vercel: https://www.linkedin.com/in/ctatedev/ [https://www.linkedin.com/in/ctatedev/] — Where to find Ankur Goyal: LinkedIn: https://www.linkedin.com/in/ankrgyl/ [https://www.linkedin.com/in/ankrgyl/] — 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.

Yesterday40 min
episode Claude Fable 5 review: what the new Mythos model gets right (and very wrong) artwork

Claude Fable 5 review: what the new Mythos model gets right (and very wrong)

Claude Fable 5 is the first Mythos-class intelligence model to be generally available, and I got early access to test it before launch. In this episode, I walk through what Anthropic is promising, what actually stood out when I used it on real work, and where I think it fits in your AI stack. — In this episode, we cover: (00:00) Introduction: Fable 5 is finally here (00:31) What Anthropic says about the model (05:14) Token-intensive by design (06:28) Safety classifiers and the new fallback concept (07:46) Is this or is this not Mythos? (08:30) New product launches: Managed Agents and more (09:20) Crushing benchmarks (09:55) What it’s actually like to use (the good and the bad) (11:40) Test 1: product graph spec (12:56) Test 2: designing a skills registry (14:04) Conservative on execution (14:43) Test 3: multi-agent orchestration (15:39) My takeaways — Tools referenced: • Claude Fable 5: https://www.anthropic.com/news/claude-fable-5-mythos-5 [https://www.anthropic.com/news/claude-fable-5-mythos-5] • Claude Managed Agents: https://platform.claude.com/docs/en/managed-agents/overview [https://platform.claude.com/docs/en/managed-agents/overview] — Other reference: • SWBench Pro benchmark: https://www.swebench.com/ [https://www.swebench.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.

9. juni 202617 min
episode Shopping with Claude: How to find quality brands, automate returns, and buy things that last 100 years | Nicole Ruiz artwork

Shopping with Claude: How to find quality brands, automate returns, and buy things that last 100 years | Nicole Ruiz

Nicole Ruiz is a writer and parent who has built a comprehensive AI-powered shopping system to help her family buy high-quality, long-lasting items while avoiding the noise of drop-shipping brands, paid ads, and poorly made products. She writes an interview series on Substack about how technology is changing the household. What you’ll learn: 1. How to build a Claude Project with custom instructions for vetting brands based on heritage, craftsmanship, and return policies 2. The shopping criteria that help surface century-old manufacturers over trendy direct-to-consumer brands 3. How to use Claude to search through trusted vendor websites that have terrible UX 4. Why AI actually helps small artisans and heritage brands compete against Amazon’s infrastructure 5. How to use Claude Cowork to automate returns by finding receipts in your email and drafting refund requests 6. The technique for getting Claude to analyze whether a brand is legitimate or just a drop-shipping operation 7. How to shop within a specific budget or with gift cards using AI assistance — Brought to you by: Orkes [https://www.orkes.io/]—The enterprise platform for reliable applications and agentic workflows Metaview [https://www.metaview.ai/home/how-i-ai]—The agentic recruiting platform for winning teams — In this episode, we cover: (00:00) Introduction to Nicole and AI-powered shopping (02:29) The problem (04:55) Building a Claude Project for household purchasing (07:44) The “anti-to-do list” concept for reducing mental overhead (10:30) Shopping for a can opener: the system in action (15:53) How AI helps century-old brands with terrible websites (18:45) Processing returns with Claude Cowork (25:06) Using gift cards strategically (26:33) Vetting brands (29:40) Recap, lightning round, and final thoughts — Tools referenced: • Claude: https://claude.ai/ [https://claude.ai/] • Claude Cowork: https://www.anthropic.com/product/claude-cowork [https://www.anthropic.com/product/claude-cowork] — Other references: • Boston General Store: https://bostongeneralstore.com/ [https://bostongeneralstore.com/] • L.L.Bean: https://www.llbean.com/ [https://www.llbean.com/] • Manufactum: https://www.manufactum.com/ [https://www.manufactum.com/] • 5 OpenClaw agents run my home, finances, and code | Jesse Genet: https://www.lennysnewsletter.com/p/5-openclaw-agents-run-my-home-finances [https://www.lennysnewsletter.com/p/5-openclaw-agents-run-my-home-finances] • From a $6.90 newsletter to $3M API: How a non-coder built Memelord | Jason Levin: 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] — Where to find Nicole Ruiz: X: https://x.com/nwilliams030 [https://x.com/nwilliams030] Substack (The Third Oikos): https://www.thirdoikos.com/ [https://www.thirdoikos.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.

8. juni 202636 min
episode Gemini Omni: Clone yourself with AI in under 15 minutes artwork

Gemini Omni: Clone yourself with AI in under 15 minutes

In this experimental episode, I document my real-time attempt to create an AI avatar of myself using Google Flow and the new Gemini Omni video generation model. I walk through the entire process—from scanning my face with my phone to generating a complete one-minute hype video for the podcast, all in about 15 minutes. What you’ll learn: 1. How to create an AI avatar using Google Flow in under five minutes 2. Why video AI tools unlock creative possibilities for people with zero video production skills 3. The step-by-step process of generating a full storyboard using AI as your creative producer 4. How to use character consistency features to generate multiple video scenes with the same avatar 5. The uncanny-valley moments you’ll encounter when your AI clone doesn’t quite nail emotions or physics 6. How to stitch together AI-generated scenes into a complete video using built-in editing tools — Brought to you by: Merge [https://www.merge.dev/howiai]—Connective infrastructure for production AI Jira Product Discovery [https://atlassian.com/howiai]—Prioritize with insights, build with confidence — In this episode, we cover: (00:00) Getting started with Google Flow and Gemini Omni (01:38) The avatar creation process: scanning and photo capture (02:55) Using Flow to brainstorm a hype video storyboard (06:59) Generating the first video scene with the avatar (08:41) Troubleshooting: accidentally generating images instead of videos (09:32) Generating all seven scenes for the complete video (11:37) Reviewing the avatar videos (13:13) Stitching the videos together in the browser-based editor (14:32) The complete How I AI hype video (15:32) What worked and what didn’t (19:04) Final thoughts — Tools referenced: • Google Flow: https://labs.google/fx/tools/flow [https://labs.google/fx/tools/flow] • Gemini Omni: https://gemini.google/overview/video-generation/ [https://gemini.google/overview/video-generation/] • Veo 3: https://deepmind.google/technologies/veo/ [https://deepmind.google/technologies/veo/] — 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.

3. juni 202620 min
episode Building an iPhone app with zero technical skills | Bryce Rattner Keithley artwork

Building an iPhone app with zero technical skills | Bryce Rattner Keithley

Bryce Rattner Keithley has spent her career in talent and recruiting, working with technical leaders but never writing a line of code herself. Yet she managed to build Daily Hundred—a fitness app featuring custom AI-generated videos of anthropomorphic animals demonstrating exercises—and ship it to the App Store before her software engineer friends. Using Replit, Claude, Gemini, and a relentless beginner’s mindset, Bryce proves that in the AI era, execution is no longer the constraint on good ideas. What you’ll learn: 1. How to build and ship an iPhone app using Replit without any coding knowledge 2. The step-by-step process for creating custom AI-generated workout videos by combining Gemini images with real exercise footage 3. How to use Claude as your technical architect and Claude Code as your software engineer 4. How to navigate App Store submission requirements (including fixing rejection feedback) 5. Why being hyper-literal in your prompts unlocks better AI results 6. Why a beginner’s mind is actually an advantage when building with AI tools — Brought to you by: WorkOS [https://workos.com/?utm_source=lennys_howiai&utm_medium=podcast&utm_campaign=q22025]—Make your app enterprise-ready today Metaview [https://www.metaview.ai/home/how-i-ai]—The agentic recruiting platform for winning teams — In this episode, we cover: (00:00) Introduction to Bryce and Daily Hundred (04:48) Building with Replit (06:16) The beginner’s mindset advantage (11:17) Creating anthropomorphic animals (22:55) Moving from static image to video (27:15) The floating genie and other anthropomorphic animal generations (30:46) Shifting from web app to App Store submission (36:24) User feedback (37:41) Lightning round and final thoughts — Tools referenced: • Replit: https://replit.com/ [https://replit.com/] • Lovable: https://lovable.dev/ [https://lovable.dev/] • Claude: https://claude.ai/ [https://claude.ai/] • Claude Code: https://claude.ai/code [https://claude.ai/code] • Gemini: https://gemini.google.com/ [https://gemini.google.com/] • Higgsfield: https://higgsfield.ai/ [https://higgsfield.ai/] • Kling: https://kling.ai/ [https://kling.ai/] • Railway: https://railway.app/ [https://railway.app/] • TestFlight: https://developer.apple.com/testflight/ [https://developer.apple.com/testflight/] — Other references: • How a 91-year-old vibe coded a complex event management system using Claude and Replit | John Blackman: https://www.lennysnewsletter.com/p/how-a-91-year-old-vibe-coded-a-complex [https://www.lennysnewsletter.com/p/how-a-91-year-old-vibe-coded-a-complex] • What Got You Here Won’t Get You There: https://www.amazon.com/What-Got-Here-Wont-There/dp/1401301304 [https://www.amazon.com/What-Got-Here-Wont-There/dp/1401301304] • How Women Rise: https://www.amazon.com/How-Women-Rise-Holding-Careers/dp/0316440124 [https://www.amazon.com/How-Women-Rise-Holding-Careers/dp/0316440124] • A Whole New Mind: https://www.amazon.com/Whole-New-Mind-Right-Brainers-Future/dp/1594481717 [https://www.amazon.com/Whole-New-Mind-Right-Brainers-Future/dp/1594481717] • How to Win Friends and Influence People: https://www.amazon.com/How-Win-Friends-Influence-People/dp/0671027034 [https://www.amazon.com/How-Win-Friends-Influence-People/dp/0671027034] — Where to find Bryce Rattner Keithley: LinkedIn: https://www.linkedin.com/in/brycerattner/ [https://www.linkedin.com/in/brycerattner/] GitHub: https://github.com/brk-bot/ [https://github.com/brk-bot/] Daily Hundred on the App Store: https://apps.apple.com/us/app/daily100-fitness-challenge/id6762108062 [https://apps.apple.com/us/app/daily100-fitness-challenge/id6762108062] — 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.

1. juni 202646 min