> ## Documentation Index
> Fetch the complete documentation index at: https://www.docs.forgeshipyard.com/llms.txt
> Use this file to discover all available pages before exploring further.

# How We Measure Quality

> The numbers Forge holds itself accountable to before any production use.

<Note>
  **In plain terms:** Forge does not get to call itself trustworthy. It has to *earn*
  it against specific, measurable targets. A capability that misses these stays in a
  low-autonomy mode until it improves.
</Note>

## The targets

These are the numbers the system holds itself accountable to before any production
pilot:

| Metric                            | Target    | Why it matters                                                  |
| --------------------------------- | --------- | --------------------------------------------------------------- |
| Citation accuracy                 | > 95%     | Every material claim should cite a real source                  |
| Rule applicability precision      | > 90%     | False positives create review burden                            |
| Rule applicability recall         | > 85%     | Missed rules can be dangerous                                   |
| Missing-evidence detection recall | > 90%     | Foundational for compliance and readiness                       |
| Refusal quality                   | > 98%     | Abstain when evidence is insufficient                           |
| Numeric geometry grounding        | 100%      | Every numeric geometry claim cites a real measurement           |
| Tenant isolation tests            | 100% pass | Zero cross-tenant retrieval allowed, by construction            |
| Decision replay completeness      | > 95%     | Approved decisions must be replayable from sources and evidence |

## How the targets are enforced

The targets are not aspirational. They gate what the AI is allowed to do:

> A capability that misses these targets stays in observe-only or draft-only
> autonomy. It does not get promoted to propose-with-review or execute-after-approval
> until it earns the promotion through observed performance.

This connects directly to [L7 · Outcome Observer](/how-it-works/layers/l7-outcomes),
which measures real-world performance, and to
[L5 · Capability Catalog](/how-it-works/layers/l5-capabilities), where autonomy
levels live.

## Reading a few of these

* **Refusal quality > 98%** is unusual to see as a *target*. It encodes the
  principle that abstaining when evidence is missing is a good behavior, not a
  failure. See [Where Humans Stay in Control](/concepts/human-control).
* **Numeric geometry grounding 100%** is non-negotiable: every numeric geometry
  claim must cite a real measurement. See
  [L3 · CAD & Geometry World Model](/how-it-works/layers/l3-geometry).
* **Tenant isolation 100% pass** means any attempt to read another yard's data must
  fail by construction. See [Keeping Your Data Yours](/concepts/keeping-data-yours).