Task Verification Agent

The Task Verification Agent verifies whether an observed task execution matches the defined Standard Operating Procedure (SOP) and determines if the task was completed successfully and correctly.

Compares the observed actions, sequence, and outcomes against the expected SOP steps.
Identifies completed, skipped, incorrect, or out-of-order steps.
Validates whether critical requirements, dependencies, and success criteria were met.
Detects deviations, inconsistencies, or operational errors.
Assesses overall task completion status and execution quality.

Use Cases

Detect task deviations and quality issues: Marks each SOP step passed, failed, or missing against the video, with the timestamps and a reason for every call.
Verify SOP compliance: Give it the SOP and a video and it returns a per-step result zero-shot, with no training or setup, so compliance is the set of steps that passed.
Reduce manual quality inspections: Runs the same step-by-step check on every recorded video instead of a sampled few, each result timestamped so review jumps straight to the failures.
Support operator training, onboarding, and consistency: Returns a reason for every passed, failed, or missing step, so recurring mistakes across runs show where operators need coaching.

Configuration

For best results, use input videos whose duration is no more than five minutes.

See an Interactive Example

Try out the Task Verification agent with a predefined data set using our interactive example.

Task Verification: Manifold Cap Assembly Agent

Verifies a recorded task against a reference procedure. Watches the manifold cap assembly and marks each SOP step as completed, out of order, or missing.

Using the Archetype AI Python Client

How to use the Archetype AI Python client to work with the Task Verification agent.