AI agents

Shadow mode and rollout gates

• From Shadow Score to Rollout Decision: Rubric to Go/No-Go
• Shadow Mode: Running an Agent Alongside Staff Before Launch
• Shadowing a Candidate Checker Against Live Promotions
• Sizing a Shadow Run from Rubric Variance
• A Canary Process for Rolling Out a Model or Prompt Change
• A Replay Set That Labels Each Disagreement Class
• Canary Releases for LLM Features: Steps, Metrics and Rollback
• Designing a Review Queue When an Agent and a Person Disagree
• Logging Schema for the Shadow Run: Fields That Enable Triage
• Logging the Fields That Explain an Agent's Decision
• Replaying a Week of Approval Cards Against a Candidate Schema
• Reviewer Sign-Off When Replay Disagrees With the Old Checker
• Shadow Review: Testing a Review Policy on Outputs Nobody Acts On
• Shadowing a Candidate Band Against Live Edits
• Shadowing a Precedence Change Before Reviewers Step Away
• Turning Shadow Disagreements Into Versioned Regression Fixtures
• Versioning Test Fixtures So a Policy Change Fails Loudly
• When a Shadow Disagreement Should Block Cutover
• When to Replace Rater Variance With a Judge's Error Rate