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PODCAST

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.

technology

All Episodes

00:35:40

How OpenAI uses ChatGPT Sites (live at DevDay!) |...

How I AI ·

2026/10/05

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

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00:46:06

Jev: 8 real use cases for the fastest, cheapest model...

How I AI ·

2026/09/30

John Lindquist created egghead.io, a developer education platform used by hundreds of thousands of working engineers. These days he’s building mega.dev, a hands-on program specifically for developers who want to do real work with AI agents, not just prototype them.What you’ll learn:Why Jev is a decision engine, not a chatbot, and what that distinction actually changes about how you buildHow John built a real-time voice to-do app that classifies and executes commands with no visible pauseThe data

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00:24:20

OpenAI Dev Day 2026: The releases that actually matter

How I AI ·

2026/09/30

I spent the day at OpenAI’s DevDay in San Francisco, and I have good news and bad news: OpenAI released a lot of stuff.In this episode, I break down the announcements worth paying attention to - and show you what happened when I tested some of them early. We’ll meet my Dot, explore why Spaces and Sites could matter for how teams work, and get into the model and API updates I’m most excited about as a developer.I use the Decisions API to find podcast thumbnails where nobody looks awkward, build a

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00:26:24

Jev for beginners: how to use it and what to build

How I AI ·

2026/09/28

Jev is TypeSafe AI’s new decision model. It returns type-safe structured values (a choice, a score, a probability) instead of generated text, at 4 cents per million input tokens with no output charge. This week I ran it on five real projects: PR categorization, a meta-analysis of my own Claude and Codex sessions, Gmail triage, the ChatPRD product insights graph, and a live audience dashboard built from 4,500 YouTube comments.What you’ll learn:What makes Jev fundamentally different from every other

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00:38:51

Opus 5.5 vs. GPT-6 Sol: which model won my blind...

How I AI ·

2026/09/22

I got up early to record an Opus 5.5 review. Then Anthropic and OpenAI dropped new models on the same morning, and I decided to do something I’d never done before: take the How I AI bench live. I put GPT-6 Astra, GPT-6 Sol, Claude Opus 5.5, and more through the work I actually care about: emails, PRDs, frontend prototypes, backend work, long-running agents, SVGs, and video editing. I scored the outputs without knowing which model made them, so you get to watch me make predictions, change my mind,

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00:24:52

I left Claude for months. Opus 5.5 is why I'm back

How I AI ·

2026/09/22

I’ve been off Claude for months. Not because it got dumb, but because it got annoying. The rambling, the hedging, the preachy little disclaimers on tasks that didn’t need them. I moved most of my daily work to Codex and I didn’t miss it. Then Anthropic shipped Opus 5.5: 40% cheaper than Opus 5, faster, and with what they’re calling a fundamentally different alignment approach. I ran it for a week across real work, including four long-running agentic tasks, a full ChatPRD homepage redesign, an SVG

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00:46:51

How Warp ships 2,000 PRs a month with AI factories |...

How I AI ·

2026/09/21

Zach Lloyd is the co-founder and CEO of Warp, an AI-powered terminal and software factory platform used by tens of thousands of engineers. Before Warp, he spent nearly a decade at Google, including time as a principal engineer on Google Sheets. He built Warp from the ground up as a modern, AI-native alternative to legacy terminals, and the team has since expanded into software factories: a full cloud-based system that takes an idea in Slack all the way through to a merged PR.In this episode:Why a

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00:37:11

Muse review: The personal AI agent that gets consumer...

How I AI ·

2026/09/16

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

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00:41:34

How Grok Bot designers use AI agents to build...

How I AI ·

2026/09/14

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

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00:50:24

Build your own company brain: the enterprise AI...

How I AI ·

2026/09/07

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

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00:32:19

GPT-6 Astra is a banger - here’s everything I’ve built

How I AI ·

2026/09/03

I got early access to GPT-6 Astra: when I say this model broke through tasks I couldn’t crack with 5.6 Sol or Fable, I mean it specifically: the ChatPRD product intelligence feature, building 3D games, the hardware hack, and a handful of one-shot coding projects I’d tried and failed on repeatedly.What you’ll learn:Why Astra’s computer use feels different, and which production tools I’m trusting it withThe one feature I’d thrown every model at for six months, and what finally got it to 90%How I’m

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00:36:20

Grok Bot vs. OpenClaw: How I replaced my entire agent...

How I AI ·

2026/09/02

I’m running about 30 active agents at any given moment, and in this episode I break down my full Grok Bot setup: what it is, how it compares to OpenClaw, and the nine bots I’ve built for work and my personal life. We go deep on Chief (my chief-of-staff bot sweeping six inboxes and multiple Slack workspaces), TradBot (the family agent that prints a kitchen-table newspaper for my kids), two engineering bots handling my PR queue and SOC 2 compliance monitoring, Holly Helpdesk, and a handful of personal

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00:46:07

How I turned Claude into a self-improving PM...

How I AI ·

2026/08/31

Daniel Blum is a product manager at Melio, a B2B payments company, and one of the most systematic thinkers I’ve had on the show when it comes to personal AI infrastructure. He’s spent the past year building a Claude- and Cowork-based productivity system that manages his Notion board, processes his Slack and email, and runs self-improvement loops every week without needing to be prompted. Beyond his own workflow, Daniel built and scaled a “Workstation” onboarding plugin that gets any Melio employee

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00:44:13

I spent $20,000 on Devin in a month. Here’s what I...

How I AI ·

2026/08/24

Ryan Carson is a five-time founder and the current solo founder of Untangle, a B2B SaaS platform for family law firms. Before Untangle, he co-founded Treehouse, an online coding education platform, and has spent the better part of two decades building and leading tech companies. He’s active on X, where he shares his solo founder journey in real time, including what he actually spends on AI tools each month.What you’ll learn:Why Ryan manages 15 concurrent Devin agents with a folder system and a piece

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00:27:14

I tested Grok Bot, Grok 4.6, and Cursor Origin -...

How I AI ·

2026/08/18

This week I’m doing a solo breakdown of everything xAI and Cursor have shipped recently, including Grok Bot, Cursor Origin, and the Grok 4.6 model. I set up five Grok Bots, ran Grok 4.6 through my Claire Weighted Index against GPT-5.6 Sol, Claude Sonnet 5, and Opus 5, and spent time actually using Origin as a GitHub replacement. Here’s what’s worth your attention, what’s overhyped, and where I’m personally putting my time.What you’ll learn:The one Grok Bot feature no other agent platform has shipped

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00:32:52

How a solo founder used Codex and ChatGPT to launch a...

How I AI ·

2026/08/17

Yana Welinder is the solo founder of Yana Bana, an AI-native fashion brand built with AI as her technical co-founder, starting from hand-drawn sketches and ending with runway photos, CAD files for 3D printing, and a live Stripe-connected pre-order site—no engineers required. A former product leader, she brings an operator’s rigor to her creative process: her “fashion prompt” is a detailed spec covering silhouette, volume, fabric behavior, movement, and sound, and watching her use Codex plus computer

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00:43:08

Claude Code for normal people: skills, voice mode,...

How I AI ·

2026/08/10

Grace Clarke is an AI educator and former marketing consultant who taught herself Claude Code earlier this year and built a curriculum out of the process. She now runs her entire service business on tools she’s built with Claude, including a pipeline operator, a proposal maker, and a Gmail replacement she created in under 30 minutes, and teaches individuals and teams to do the same.What you’ll learn:How to build an hourly pipeline in Claude that moves clients through your process automaticallyWhy

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00:24:13

Build an AI code review bot in 30 minutes with Vercel...

How I AI ·

2026/08/05

AI writes most of my code now, and that created a new problem: a PR queue I couldn’t keep up with. In this episode, I walk through how I built Merge Mommy, a Vercel Eve agent that reads every PR after checks pass, scores it across six risk dimensions, auto-approves the low-risk ones, and pings me in Slack for anything that needs a human. I built the whole thing in one Codex session, it’s SOC 2 compatible, and it’s already cleared my backlog.What you’ll learn:Why AI-generated PRs create a review

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00:41:34

ChatGPT Codex Voice + browser + Sites: an expert’s AI...

How I AI ·

2026/08/03

Nick Baumann is on the Developer Experience team at OpenAI, where he spends his days building with, testing, and communicating the capabilities of ChatGPT Codex and ChatGPT Work. In this episode, Nick walks me through several features that have launched or evolved recently: the new voice interface with its screen-reading orb, the Heartbeats automation system in ChatGPT Work on mobile, the live ChatGPT Sites deployment feature, and his personal use case for AI-assisted UGC video editing.What you’ll

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00:28:05

From zero coding background to hardware hacker: How...

How I AI ·

2026/07/27

Maddie Reese is a vibe coder, hardware tinkerer, and builder. She builds things at the intersection of software and hardware, including a thermal receipt printer that people around the world can message directly, a fully functional Twitter pager running on a Raspberry Pi, and a personal API that tells you her coffee order so you don’t have to ask. Maddie approaches hardware the same way she approaches software: dump the idea into Cursor, let it interview her, get a shopping list, triple-check the

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116 results

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