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Try these ChatGPT and Codex workflows
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.
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.
Search an authorized repository deeply for plausible vulnerabilities.
Convert Zoom meeting insights into actions across your tools.
Turn dense source material into a clear, reviewable learning report.
Review a pull request or local diff for security regressions.
Turn a public package advisory into a safe repo-audit plan.
Use Codex as a scored improvement loop to solve hard tasks.
Run security scans across repositories and review the findings and coverage.
Rank accounts by risk, upside, urgency, and next action.
Decide which deals belong in commit, upside, or pull.
Combine evidence, tradeoffs, and open questions into one recommendation.
Scan pull requests, commits to main, or your repository on a schedule.
Review scoring patterns without assigning or changing grades.
Find the real blocker and the next customer-facing move.
Turn experiment or launch results into a scale, change, or stop recommendation.
Turn governance context into a review-ready meeting packet.
Turn recent account activity into a current deal strategy pack.
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 an incident packet into a reproduced bug, a focused patch, and a reviewable handoff.
Join spreadsheet exports into one refreshable workbook.
Try clearing a few filters or searching for a broader term.
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