Explore Prompts

Create a delegation pattern where the AI plans but humans execute high-risk steps. Include how to structure instructions, confirmations, and evidence requirements.

Design methods to evaluate long-horizon tasks: checkpoints, intermediate artifacts, verifier models, and human spot checks. Include metrics that detect slow drift or hidden degradation.

Create a security review plan for the AI toolchain: dependencies, container images, permissions, SBOM, and update policy. Include a checklist and a cadence for reviews.

Define hard caps on recursion: max iterations, time limits, budget limits, and scope constraints. Provide rules for when to reset context and when to escalate to humans.

Design a safe loop where the AI proposes code changes: unit tests, static analysis, security scans, human review, and staged deployments. Include stop rules and rollback plans.

Design an auditability system: trace inputs→retrieval→prompt→tool calls→outputs, with immutable logs and privacy controls. Include a schema and query patterns for audits.

Design safety culture practices: blameless reporting, review norms, escalation comfort, and training. Include weekly rituals and how to measure culture health.

Create an ethical review process for high-impact use: fairness, accessibility, harm minimization, and user consent. Include a checklist and escalation rules.

Design containment by limiting action scope: allowlisted domains, read-only modes, rate limits, and staged privileges. Include how to measure whether containment is effective.

Create a quarterly roadmap for recursive improvement: initiatives, milestones, safety deliverables, and staffing. Include an ‘if risk increases’ contingency branch.

Design a feedback system that’s hard to game: structured feedback types, sampling, and weighting. Include how to prevent brigading and ensure minority failure modes are captured.

Create a production readiness review checklist: evaluation results, red-team status, privacy review, rollback tested, monitoring live, and owner sign-offs. Output a go/no-go rubric.