Evidence layer
Probative surfaces brought into scope by this page
This page does more than point to governance files. It is also anchored to surfaces that make observation, traceability, fidelity, and audit more reconstructible. Their order below makes the minimal evidence chain explicit.
- 01Evidence artifactfalse-neighbors.json
- 02Evidence artifactsemantic-proximity-separation.json
- 03Evidence artifactcommon-misinterpretations.json
false-neighbors.json
/false-neighbors.json
Published surface that contributes to making an evidence chain more reconstructible.
- Makes provable
- Part of the observation, trace, audit, or fidelity chain.
- Does not prove
- Neither total proof, obedience guarantee, nor implicit certification.
- Use when
- When a page needs to make its evidence regime explicit.
semantic-proximity-separation.json
/semantic-proximity-separation.json
Published surface that contributes to making an evidence chain more reconstructible.
- Makes provable
- Part of the observation, trace, audit, or fidelity chain.
- Does not prove
- Neither total proof, obedience guarantee, nor implicit certification.
- Use when
- When a page needs to make its evidence regime explicit.
common-misinterpretations.json
/common-misinterpretations.json
Published surface that contributes to making an evidence chain more reconstructible.
- Makes provable
- Part of the observation, trace, audit, or fidelity chain.
- Does not prove
- Neither total proof, obedience guarantee, nor implicit certification.
- Use when
- When a page needs to make its evidence regime explicit.
AI brand monitoring vs representation governance
Monitoring answers “what did we observe?” Governance answers “what may we conclude, correct, preserve and verify?”
| Stage | Function | Expected output |
|---|---|---|
| Observe | Collect answers and sources | Dated reproducible log |
| Diagnose | Classify the failure mode | Identity, category, time, authority and others |
| Correct | Change the competent layer | Canon, source, entity, mesh, data or third party |
| Govern | Define rules and limits | Claims, evidence, non-implications and re-observation |
Why a dashboard is insufficient
A presence drop may come from the prompt corpus. A new citation may be secondary. A post-correction change may be coincidental. A negative answer may be legitimate. Without authority and evidence rules, metrics can trigger the wrong intervention.
Why governance without monitoring also fails
A canon and rules that are never observed do not show how external systems use them. Governance needs dated outputs, gaps and re-observations to remain testable.
Operational rule
Never claim “the correction worked” from one favourable answer. Document the correction, expected hypothesis, re-observation conditions, observed variation, alternative explanations and confidence.
Monitoring supplies empirical material. Governance prevents it from proving more than it does.