Verification checklist

Define the outcome.
Establish the evidence.

A shared acceptance checklist for product, engineering and domain owners. No email required.

Explore Databridle

Work and ownership

  • Name the workflow and release decision owner.
  • Define legitimate completion, permitted scope and prohibited effects.
  • Version the business rules, initial state and required checks.
  • Agree acceptance thresholds and the reviewer’s decision process.

Environment and data

  • Use approved fixtures and declared test-system adapters.
  • Specify reset, tenant isolation, clock and tool versions.
  • Agree interruption, reconciliation, cleanup and quarantine behavior for supported effects.
  • Identify authoritative observation sources and their consistency limits.
  • Define data rights, redaction, access and retention.

Checks and failures

  • Separate checker identity, code and expected outcomes from the agent.
  • Include deliberately incorrect results and a valid completion case.
  • Exercise retries, changed records, concurrency and unknown effects.
  • Verify that missing evidence and checker crashes remain inconclusive.

Comparison and evidence

  • Compare baseline and candidate under the same accepted setup.
  • Use repeated runs and held-out cases; report sample size and variation.
  • Retain source observations, versions, verdicts and coverage.
  • Replay the checker decision and record the customer review.
  • Measure installation, review, compute and maintenance costs; repeat after model, tool and policy changes.

Make autonomous work verifiable

Define the outcome. Verify the work.

Connect your autonomous workflows to clear acceptance criteria, independent checks and reproducible evidence.

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