Rubric Calibration and Bias Review Workshop
Review grading, hiring, award, or evaluation rubrics for calibration quality, ambiguity, bias risk, scorer alignment, and revision readiness.
Searchable AI prompt library
Structured instructions for completing individual tasks with an AI tool. Filter by outcome, category, tool, difficulty or keyword.
Open a Prompt to copy its instructions, run supported Prompts privately in Workplace, or prepare a task for Codex where available. Copying text does not run the Prompt.
Review grading, hiring, award, or evaluation rubrics for calibration quality, ambiguity, bias risk, scorer alignment, and revision readiness.
Use Codex to reproduce a frontend state defect, trace its causal state transition, implement an authorized minimal patch, and produce evidence-backed regression verification.
Design a structured hiring scorecard, interview loop, question bank, and evidence-based candidate evaluation rubric for a role.
Create a board-ready AI risk narrative with use cases, controls, accountability, metrics, incidents, open decisions, and governance priorities.
Produce an evidence-linked assessment of a dataset, benchmark, leaderboard result, or research metric, including provenance, methodology, freshness, comparability, limitations, claim fidelity, and fit for the intended use.
Create an evidence-traceable sensitive data handling checklist for an AI workflow, including data classification, minimization, tool and storage verification, approval gates, escalation paths, incident readiness, and acceptance criteria.
Guide Codex to build controlled profiling experiments, rank bottleneck hypotheses, and define evidence-based optimization, verification, and rollback decisions.
Design a weekly AI operations review cadence for AI workflows, prompt quality, adoption, incidents, risks, owners, and improvement backlog.
Track regulatory changes with cited sources, affected workflows, risk levels, deadlines, stakeholder impact, and action recommendations.
Use Claude to statically inspect a reusable prompt, model task-specific abuse and failure scenarios, specify red-team tests, design guardrails, propose a traceable rewrite, and issue an evidence-qualified release recommendation without claiming unrun tests passed.
Use Codex to perform an evidence-based review of supplied CI/CD workflows, deployment scripts, migration behavior, configuration controls, observability, rollback readiness, and release verification plans without implying that production actions occurred.
Produce an evidence-aware webhook reliability design covering idempotency, retries, concurrency, partial failures, replay, reconciliation, monitoring, and safe operational handoff.