The AI Taxonomy.
Terms  /  Execution Quality  /  Execution Integrity
04 · Execution Quality

Execution Integrity

Consistent, verifiable completion of planned tasks with evidence.

Execution Integrity is what Execution Fidelity looks like when it's backed by proof. It's not enough to complete the tasks — each completion must be verifiable. Did the function get written? Here's the file diff. Did the tests pass? Here's the test output. Did the deployment succeed? Here's the deployment log. Execution Integrity transforms agent output from assertions into evidence. It's the foundation of trust in agentic systems: not "I did it" but "I did it, and here's how you can verify."

Example
An agent completes a feature implementation and provides a structured completion report: "Task 1: Database migration — created `migrations/024_add_preferences.sql` (diff attached). Task 2: API endpoint — added `POST /api/preferences` to `routes/preferences.ts` (diff attached). Task 3: Tests — 4 tests added, all passing (test output attached). Task 4: Documentation — updated `API.md` with new endpoint (diff attached)." Every claim is backed by an artifact. That's Execution Integrity.

More in Execution Quality

Execution Fidelity

How closely a system follows and completes its intended plan.

Plan Rot

Decay of truth in planning artifacts — task state in markdown files goes stale.

Plan Drift

Deviation from the original plan over time.

Execution Hallucination

Claiming work is done when it is not.

Plan Resilience

A plan's ability to remain accurate and actionable over time despite changing conditions. The opposite of Plan Rot.

Task Accountability

Every task has a verifiable record of who did what, when, and whether it actually completed.

Agentic Scope Creep

An agent silently expanding beyond what was delegated, usually from lack of a clear plan or direction. Adds breadth the user didn't ask for.

Depth Fixation

The agent keeps drilling deeper into implementation detail, generating new sub-tasks and refinements rather than recognizing the work is done and returning control to the user. Expands depth rather than breadth.