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Nick Baumann from OpenAI joins Claire to demonstrate how he uses ChatGPT, Codex, and Voice to automate huge parts of his work and life. He walks through advanced workflows for managing tasks in parallel, monitoring email and expenses, booking travel, building and publishing websites, and even turning dozens of raw clips into finished videos.
**ChatGPT Codex Voice doesn’t just answer questions.**It can actually operate your computer while you keep talking. Nick Baumann demos the new interface live: he triggers it with a hotkey, the orb reads what’s on his screen through Appshots, and Codex spins up separate threads to book a flight, file an expense report, and check his calendar at the same time.**One of Codex’s most powerful features is also one of its least understood: thread-forking.**When a task gets complicated, Codex can open a new thread, branch from an existing one, or pull context from previous conversations on its own. Users don’t have to manually organize everything first.**Heartbeats in ChatGPT Work offer a practical glimpse of always-on agents.**Nick gets notified when a suspicious charge appears, a package is nearby, or an email needs his attention—and he set it all up without writing code.**ChatGPT Sites looks much closer to a real deployment platform than a lightweight demo.**It includes a SQL database, file storage, environment variables, and email-based access controls. During the episode, Claire and Nick build and publish a live How I AI tips site, organized by tool and job function, in roughly the time it would normally take to set up a CMS template. For internal tools, small apps, and private resources, that starts to feel genuinely useful.**Nick’s video-editing workflow is one of the clearest examples of AI cutting real production work.**He records 50 or 60 raw clips, uploads them, talks through the rough story he wants, and lets a custom plugin transcribe everything, scan the footage, choose the strongest takes, and assemble finished vertical videos overnight. What would normally eat up most of a content team’s day is largely handled while he sleeps.**Voice may be the best way to give AI context because it removes the pressure of figuring out exactly what to type.**Claire calls this the “yapper’s API,” and the idea is simple: people often get more useful results when they talk freely than when they stare at an empty prompt box trying to be precise. Across two-person voice chat, mobile dictation, and Codex’s orb interface, the same pattern keeps showing up—people who talk to AI tend to give it more context, and more context usually leads to better work.**As AI gets more capable, latency is becoming a much bigger product decision.**Nick often uses the highest-intelligence mode in Voice, but once a model has the tools it needs, speed can matter more than another small jump in reasoning quality. A lot of AI products are still designed around the assumption that waiting is unavoidable. As that changes, the tools that feel immediate will have a major advantage—especially for users who currently find AI too slow to bring into a live workflow.
Nick Baumann’s 3 Advanced ChatGPT Workflows: https://www.chatprd.ai/how-i-ai/nick-baumanns-3-advanced-chatgpt-workflows
↳ Use ChatGPT Voice as a Personal Assistant for Logistics and Travel: https://www.chatprd.ai/how-i-ai/workflows/use-chatgpt-voice-as-a-personal-assistant-for-logistics-and-travel
↳ Build and Deploy a Live Website with a Single ChatGPT Prompt: https://www.chatprd.ai/how-i-ai/workflows/build-and-deploy-a-live-website-with-a-single-chatgpt-prompt
↳ Automate UGC Video Editing From Raw Clips with ChatGPT: https://www.chatprd.ai/how-i-ai/workflows/automate-ugc-video-editing-from-raw-clips-with-chatgpt
If you’re enjoying these episodes, reply and let me know what you’d love to learn more about: AI workflows, hiring, growth, product strategy—anything.
Catch you next week,
Lenny
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