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Article · 2026-07-22 · 6 moments

Computer and browser use in Codex (5 real examples)

Watch now | 🎙️ I show you exactly how I use browser use and computer use in Codex to QA my app, manage LinkedIn, and shop for Hawaii, including the under-prompting trick that makes frontier models work harder ✦ AI generated

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01
Claim

Browser use and computer use via Codex (ChatGPT desktop app) is a daily driver for both personal and professional workflows, not just a novelty feature.

The speaker positions Codex browser and computer use as core daily infrastructure rather than an occasional experiment.

transcript

Claire Vo: Today I'm walking you through one of my absolute favorite AI features right now: browser and computer use via Codex (the ChatGPT desktop app). I use this every single day, personally and professionally, and I wanted to share the specific workflows I've built, the moments that surprised me, and the mental model that makes it actually click.

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04
Example

Codex browser use handles real-world personal tasks autonomously: clearing a LinkedIn inbox, shopping Free People for breastfeeding-friendly Hawaii clothes, and managing a router from out of state.

Practical personal-use examples showing the range of autonomous tasks Codex handles across professional and personal domains.

transcript

Claire Vo: How I use browser use to get through my LinkedIn inbox without touching it myself... How I had Codex shop Free People's sale and add 10 medium-size items to my cart (breastfeeding-friendly and Hawaii-ready)... Three more computer-use shortcuts: filling annoying forms, creating Google Sheets mid-workflow, and managing a router

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06
Mechanism

Under-prompting frontier models — giving goals rather than detailed step-by-step instructions — produces better results because it forces the model to reason through the problem rather than mechanistically follow a script.

The counterintuitive insight that less-detailed prompts yield superior outcomes with advanced models by compelling genuine reasoning.

transcript

Claire Vo: Why under-prompting frontier models gets better results than detailed step-by-step instructions

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