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Try these ChatGPT and Codex workflows
Turn protein-folding hypotheses into benchmarked experiment loops.
Rank drug targets across multiple evidence lanes.
Review single-cell QC, annotations, and UMAPs in one chat.
Validate bulk RNA-seq inputs before differential expression.
Catch regressions and potential issues before human review.
Turn dense source material into a clear, reviewable learning report.
Build or update a web app, deploy a preview, and get a live URL.
Click through real product flows and log what breaks.
Search an authorized repository deeply for plausible vulnerabilities.
Create a skill Codex can keep on hand for work you repeat.
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.
Combine evidence, tradeoffs, and open questions into one recommendation.
Review scoring patterns without assigning or changing grades.
Turn experiment or launch results into a scale, change, or stop 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 a team workflow into a hosted internal app with Sites.
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.
Give Codex a composable command for an API, log source, export, or team script.
Run repeatable workflows and verify the result.
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