Delegate a complex, multi-format data migration to an AI agent. The model will build the migration script, create a scalable testing system to validate its own work, and repair issues in a self-sustaining loop.
Define the scope of the migration, such as millions of database records in various legacy formats with many edge cases.
In an environment like Codex, give the AI a high-level, goal-oriented prompt. Instruct it not only to perform the migration but also to build a system to test its own work, identify failures, and repair them.
Look, I need you to figure out a way to programmatically test every thread that's in local... Post it to Anthropic and OpenAI and any other provider that we're using. I need you to make a scalable system for our team to do this programmatically, ideally through a CLI, so that any agent can test any thread for these data issues. I trust you to make a call, figure out how to spawn a subagent to do this, test it, and identify any issues, repair them, and get this ready for production. Thank you.Walk away and let the model execute the task. The process can take several hours with no human intervention required as the AI creates sub-agents and self-healing loops.
Once the AI has finished, review the outcome. The migration should be complete with very few remaining edge cases. Monitor error rates in a tool like Sentry to confirm the impact.
Use an advanced AI model to analyze raw packet sniffer logs and research notes to deduce an unknown, proprietary Bluetooth protocol and create a tool to interact with the hardware.
Use an advanced AI model like GPT-5.5 Pro in Codex to automatically analyze a CSV list of security vulnerabilities, group them thematically, propose architectural changes, and implement the necessary code fixes.
Use GPT Images 2.0's advanced text and layout capabilities, combined with your own reference images, to create a polished, multi-page brand kit as a starting point for your design work.
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