Behavioral acceptance
Define the expected behavior with representative fixtures and executable checks. Evaluate the result independently of the agent’s completion summary.
Software delivery verification
Define the change.
Verify the result.
Verify agent-delivered software changes against acceptance criteria, regression checks and permitted scope, with replayable release evidence.
An executable acceptance contract
The expected outcome.
The evidence to accept it.
Turn a software assignment into an executable acceptance contract. Check the changed behavior, required constraints and regression outcomes in a controlled environment.
Keep your agent and business systems. Specify the permitted work, reproduce the conditions and evaluate the observed result with Databridle.
What to verify
The checks that
define correctness.
Regression coverage
Exercise existing behavior alongside the requested change. Compare baseline and candidate revisions on the same accepted checks.
Permitted change scope
Check touched repositories, files and configuration against the assignment. Include sensitive data and deployment restrictions in the acceptance contract.
Release evidence
Bind source revision, environment, tools and check results to a replayable bundle. Preserve failures, missing observations and reviewer decisions.
Example failure case
Make the hidden
failure observable.
A coding agent satisfies the new feature test but breaks an existing billing path. A release comparison shows the regression and binds it to the candidate revision and fixture.
The verdict stays bound to the work contract, source observations and coverage. Missing required evidence is inconclusive.
Connect verification to your workflow
A shared contract.
A clear decision owner.
Bring one change class, the repository and test environment, an accepted baseline and an engineering release owner. Define the behavior and scope that must hold before merging or deploying.
Compare agent releases under the same declared setup. Retain repeated runs, costs, coverage and replayable evidence for the acceptance review.
Use the verification checklist ↗Explore verification cases ↗
Maintained verification
Acceptance that stays
with the workflow.
Use platform access and a maintained workflow package to keep environments, business checks and supported adapters aligned with each release. Agree source coverage, execution and retention allowances, and integration ownership.
Engineering owns the release decision. The domain/control owner accepts correctness rules, and security approves test access. Compare changes using independent observations and retained evidence.
Explore maintained coverage ↗Make autonomous work verifiable
Make your acceptance criteria executable.
Connect your agent workflow, source systems and required outcomes to Databridle.