Codex Goals: How to turn 4-hour tasks into set-it-and-forget-it workflows
В выпуске подкаста Claire Vo рассказывает о команде /goal в OpenAI Codex, которая превращает ИИ из пошагового ассистента в автономного агента, способного часами работать над сложными задачами без участия человека. На реальных примерах она показывает, как /goal за пять часов устранил сотни ошибок в Sentry, за четыре часа очистил 3 900 писем до 68 и упорядочил сотни задач в Linear. Автор объясняет шесть компонентов эффективных целей — измеримый результат, метод верификации и ограничения — и разбирает, когда использовать /goal не стоит. Главный тезис: переход от «присмотра» за моделью к управлению ею меняет сам подход к работе с ИИ.
The Codex feature that works while you sleep
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 of Linear tasks.
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What you’ll learn:
What Goals are and how they differ from standard prompts
How I used /goal to eliminate hundreds of error logs in my codebase over a five-hour autonomous run
The non-technical use cases that make Goals incredibly powerful: cleaning up 3,900 emails in under four hours and organizing hundreds of project management tasks in Linear
How to write effective /goal prompts with measurable outcomes, verification methods, and constraints
When not to use Goals and what makes a strong versus weak Goal
Why Goals represent a fundamental shift in how we work with AI, from babysitting the model to managing it
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In this episode, we cover:
(00:00) Introduction
(01:50) What is /goal and when should you use it?
(02:45) The difference between prompts and Goal-based loops
(04:06) Claire’s first five-hour 45-minute autonomous coding task
(05:05) How to manage a Goal lifecycle: view, pause, resume, and clear
(06:06) How to write strong goals: outcomes vs. outputs
(07:34) The six components of effective Goals
(08:57) Example: Reducing P95 checkout latency with /goal
(09:36) Demo: Using /goal to eliminate Sentry errors in ChatPRD
(13:18) Demo: Burning down Vercel API errors
(17:28) Non-technical use case: Cleaning 3,900 emails with /goal
(21:24) Demo: Using /goal to clean up Linear project tasks
(24:41) When not to use /goal
(26:10) Why /goal changes everything
Tools referenced:
• Codex: https://openai.com/codex/
• Sentry: https://sentry.io/
• Vercel: https://vercel.com/
• Linear: https://linear.app/
Other reference:
• OpenAI blog post “Using Goals in Codex”: https://developers.openai.com/cookbook/examples/codex/using_goals_in_codex
Where to find Claire Vo:
ChatPRD: https://www.chatprd.ai/
Website: https://clairevo.com/
LinkedIn: https://www.linkedin.com/in/clairevo/
Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].
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