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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.
Turn dense source material into a clear, reviewable learning report.
Click through real product flows and log what breaks.
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 de-identified course exports into a faculty review view.
Give Codex a durable objective for long-running work.
Run repeatable workflows and verify the result.
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