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Try these ChatGPT and Codex workflows
Turn protein-folding hypotheses into benchmarked experiment loops.
Find vulnerabilities in your code, review the evidence, and decide what needs attention.
Trace request flows, map unfamiliar modules, and find the right files fast.
Open a finding from your scan, review and apply a patch, and verify the fix.
Search an authorized repository deeply for plausible vulnerabilities.
Explore the concept visually with ImageGen and build a first version of your idea.
Turn reviewed findings into minimal fixes with regression evidence.
Review a pull request or local diff for security regressions.
Turn a public package advisory into a safe repo-audit plan.
Upgrade your app to the latest OpenAI API models.
Define a game plan and let Codex build and test it in a live browser.
Create a skill Codex can keep on hand for work you repeat.
Use Codex as a scored improvement loop to solve hard tasks.
Use code and other sources to automate docs updates.
Run security scans across repositories and review the findings and coverage.
Remove dead code and modernize legacy patterns without changing behavior.
Migrate legacy stacks in controlled checkpoints.
Scan pull requests, commits to main, or your repository on a schedule.
Give Codex a durable objective for long-running work.
Help users learn your app with a tour that adapts as they go.
Use Codex to turn expected behavior into a Promptfoo eval suite.
Go from a mobile-app idea to a working Expo app with the dedicated plugin.
Give Codex a composable command for an API, log source, export, or team script.
Try clearing a few filters or searching for a broader term.
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