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.
What this show covers
AI agentsCodexGrok Botcoding toolsMeta MuseJevdeveloper toolsautomationbrowser automationsolo foundercreative AIMeta AImodel benchmarksUX strategyAI product design
What listeners will find here
Meta’s Muse Wonder shines on agent tasks but stumbles badly on design
Meta’s Muse Wonder is put through a broad benchmark covering prototyping, agentic workflows, coding, writing, and creative work. The episode focuses on where the model lives up to its “personal and professional agent” pitch, where it ranks first, and why its design output is a weak spot.
Why Meta made Muse feel like texting a person, not using an AI app
Meta’s Muse is the focus here, with design director Alex Cornell unpacking how its interface, status system, and generative features were built for real consumer use. The episode mixes product thinking with concrete examples like shopping catalogs, golf tracking, and AI conversations people actually enjoy having.
Inside how OpenAI teams actually use ChatGPT Sites with Kath Korevec
ChatGPT Sites is the focus here, with Kath Korevec explaining how OpenAI used it internally before launch. The episode gets practical about connectors, Plugin Insights, Sites infrastructure, prompting, and real examples from incident response to playlist repair and game design.
Which OpenAI DevDay 2026 launches are worth your time right now?
OpenAI DevDay 2026 brought a flood of releases, and this episode sorts the practical from the flashy. Claire Vo walks through Dots, Spaces, Sites, GPT-6.1 Sol, the Decisions API, and Astra ultrafast, with early tests that show both the promise and the rough edges.
8 practical ways Jev beats chat-style AI on speed, routing, and decision-making
Jev is the focus here, framed as a decision engine rather than a chatbot. John Lindquist walks through eight concrete use cases—from a real-time voice to-do app to data deduplication, app routing, chess benchmarking, and multi-agent coordination—while also covering where Jev falls short.
Episodes
How I turned Claude into a self-improving PM assistant | Daniel Blum (PM, Melio)
31 Aug 2026 · 46 min
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