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Try these ChatGPT and Codex workflows
Catch regressions and potential issues before human review.
Find vulnerabilities in your code, review the evidence, and decide what needs attention.
Search an authorized repository deeply for plausible vulnerabilities.
Build or update a web app, deploy a preview, and get a live URL.
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.
Click through real product flows and log what breaks.
Run security scans across repositories and review the findings and coverage.
Combine evidence, tradeoffs, and open questions into one recommendation.
Turn governance context into a review-ready meeting packet.
Review a course as one connected system.
Build a source-linked evidence base for research or proposals.
Turn de-identified course exports into a faculty review view.
Turn a team workflow into a hosted internal app with Sites.
Use Codex to turn expected behavior into a Promptfoo eval suite.
Run repeatable workflows and verify the result.
Turn your use cases into focused apps for ChatGPT.
Turn an incident packet into a reproduced bug, a focused patch, and a reviewable handoff.
Upgrade one module and prove that its public behavior still holds.
Try clearing a few filters or searching for a broader term.
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