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How I AI

How I AI

Claire Vo 80 Episodes Jun 30, 2026

How I AI, hosted by Claire Vo, is a podcast for anyone wondering how to actually use AI tools to improve the quality and efficiency of their work. Each episode features a guest sharing a specific, practical, and impactful way they've learned to use AI in their work or life. Episodes are 30 minutes long, include live screen sharing, and provide tips, tricks, and workflows that listeners can copy immediately. The podcast aims to demystify AI and help listeners learn the skills needed to thrive in this new world.

Episodes

Sonnet 5 review: I ran 64 generations to find out if it's worth it Jun 30, 2026 00:25:56 I’ve been testing every major frontier model release since the start of the year, and when Anthropic dropped Sonnet 5, I wanted more than a vibe check. I got tired of one-off tests I couldn’t repeat or compare over time, so I built something better: the How I AI Bench, a repeatable eval harness I constructed live using Claude Code while recording this episode. I ran Sonnet 5 blind against four oth
No Figma. No Jira. No docs. How Gusto built a new product line with Claude Code | Eddie Kim (CTO) Jun 29, 2026 00:51:51 Eddie Kim is the co-founder and CTO of the payroll and HR platform Gusto, which just crossed $1 billion in revenue and serves more than 500,000 small businesses. Recently he did something most CTOs don’t: he went back to writing code. With three other engineers and one designer, Eddie built Gusto Cofounder, a net-new AI product, from zero code to a tier-one launch in 10 weeks. He walks through how
GLM 5.2: why I’m replacing Opus in Claude Code with this new model Jun 24, 2026 00:27:13 I put GLM 5.2, the open-weight coding model from Z.AI, through four real tasks inside my actual codebase: a codebase architecture audit, a UI redesign, and a 45-minute autonomous bug-hunting session pulling from Sentry and Vercel logs. Total cost: $3.36 for roughly 6 million tokens, a prioritized bug-fix dashboard I’m actually shipping from, and a landing page redesign that matched Chat PRD’s desi
How Claude Mythos found a 15-year-old bug in Mozilla Firefox | Brian Grinstead Jun 22, 2026 00:48:28 Brian Grinstead is a distinguished engineer at Mozilla, where he’s worked on Firefox and the web platform since 2013 (he joined to help launch Firefox DevTools). Recently he and his team pointed an agentic bug-finding pipeline at Firefox—a codebase with tens of thousands of files and tens of millions of lines of code—and shipped a record month of security fixes. The viral chart everyone saw gave t
How to design AI agent loops: schedules, goals, and subagents in Claude Code and Codex Jun 17, 2026 00:29:06 I break down every loop type from scratch—what a heartbeat, cron, hook, and goal loop actually are, when each one fits, and the five things any effective loop needs before it touches production. Then I build two live loops: a daily aging-PR reviewer in Claude Code that schedules itself at 10:15 a.m. and spins off its own subagents, and a weekly skills-identification loop in Codex that spawns goal-
How Braintrust uses AI agents, evals, and CI to ship better software | Ankur Goyal Jun 15, 2026 00:40:11 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 co
Claude Fable 5 review: what the new Mythos model gets right (and very wrong) Jun 9, 2026 00:17:24 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 t
Shopping with Claude: How to find quality brands, automate returns, and buy things that last 100 years | Nicole Ruiz Jun 8, 2026 00:36:56 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:How to build a Claude Project with custom instructions for
Gemini Omni: Clone yourself with AI in under 15 minutes Jun 3, 2026 00:20:35 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:How to create an AI avatar using Google Flow in under five minu
Building an iPhone app with zero technical skills | Bryce Rattner Keithley Jun 1, 2026 00:46:33 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 be
Claude Opus 4.8 is here. Is it as good as they say? May 28, 2026 00:13:39 I got a few hours of early-access testing with Anthropic’s newly released model Opus 4.8. I walk through real coding, design, and strategy tasks across Claude Code and Claude Cowork, and give you my unfiltered view on what impressed me and what didn’t.—What you’ll learn:Where Opus 4.8 excels: greenfield prototypes, one-shot features, and fast executionWhere it struggles: the last 10%, edge cases i
The Codex feature that works while you sleep May 27, 2026 00:30:20 In this 30-minute episode, I walk through my favorite feature in Codex: the /goal command. I show how Goals transform AI from a turn-based assistant that needs constant ‘what’s next?’ prompting into an autonomous agent that can work for hours on complex, multi-step tasks. I share three real examples: eliminating thousands of Sentry errors, cleaning 3,900 emails down to 68, and organizing hundreds

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