sincLLM operator guide · change protocol
Private AI Brain Change Protocol: Versioning, Canary Tests, and Rollback
Change a local retrieval-augmented knowledge system without silently invalidating its evidence, interfaces, or rollback path.
The direct answer
Change a local retrieval-augmented knowledge system without silently invalidating its evidence, interfaces, or rollback path. The working output is A change-control protocol with baseline fingerprint, canary scope, rollback trigger, and post-change regression list.
For Private AI Brain, the bounded capability is a local retrieval-augmented knowledge system. Begin only when the team can supply approved documents or data exports, access rules, answer use cases, and evaluation examples. The documented delivery target is a local-model RAG system checked by a QA agent; anything broader requires a new scope and a new authority decision.
The controlled change protocol
This change protocol is for teams that need answers grounded in owned documents while keeping the retrieval and model path inside their infrastructure. It begins with approved documents or data exports, access rules, answer use cases, and evaluation examples and stays inside the documented workflow: source inventory, access classification, parsing, chunking, indexing, retrieval, answer generation, citation checks, evaluation, and refresh. For Private AI Brain, the change protocol remains reviewable because its decisions have named owners, evidence fields, and stop conditions.
A change to Private AI Brain starts from a content-addressed baseline for a local retrieval-augmented knowledge system and ends only when both candidate and rollback states are observable. This change protocol separates modification from release permission, and it prevents a successful canary for Private AI Brain from excusing any untested acceptance criterion.
| Stage | Action | Owner | Evidence | Stop condition |
|---|---|---|---|---|
| 1. Freeze baseline | Hash the current artifact, contract, evidence packet, and rollback target. | data owner | baseline fingerprint | Stop if any required input is missing. |
| 2. Classify change | Map the proposal to source inventory, access classification, parsing, chunking, indexing, retrieval, answer generation, citation checks, evaluation, and refresh and identify affected criteria. | privacy owner | impact map | Require owner input for scope or authority expansion. |
| 3. Build candidate | Change only declared surfaces and preserve prior bytes or state. | privacy owner | candidate hash and delta | Reject unrelated mutation. |
| 4. Run canary | Exercise a smallest representative case including “restricted documents placed in a shared index”. | system operator | canary receipt | Do not widen after a partial or unavailable result. |
| 5. Verify | Test “sources and access classes are inventoried” plus affected regressions with a producer-distinct reviewer. | evaluation owner | criterion report | NOT_TESTED keeps the release closed. |
| 6. Expand or roll back | Release the remaining bounded set only after canary PASS; otherwise restore baseline. | evaluation owner | release or rollback receipt | Stop after the declared repair ceiling. |
Copyable change record
{
"change_id": "CHG-ART-15-05",
"baseline_fingerprint": "sha256:<current-artifact>",
"affected_criteria": [
"sources and access classes are inventoried"
],
"canary_scope": "smallest representative, reversible case",
"rollback_trigger": "restricted documents placed in a shared index",
"post_change_regressions": [
"sources and access classes are inventoried",
"retrieval permissions match source permissions",
"answers cite claim-level evidence",
"deletion and refresh propagate to the index",
"adversarial documents are included in tests"
],
"release_status": "HOLD_UNTIL_INDEPENDENT_PASS"
}Rollback decision
Rollback on an explicit canary failure, a stale or missing verifier binding, an unexpected change outside the declared surface, or a breach of the product boundary. Record the destination readback after restoration. If restoration cannot be verified, report the state as unresolved rather than claiming recovery.
Run the workflow as a sequence of decisions
The Private AI Brain change protocol follows this working sequence: source inventory, access classification, parsing, chunking, indexing, retrieval, answer generation, citation checks, evaluation, and refresh. Within this artifact, each phrase marks a state boundary for a local retrieval-augmented knowledge system. A stage output becomes the next named input, while a failed, missing, or unavailable check keeps the dependent change protocol decision closed.
| Step | Decision owner | Observable criterion | Evidence to retain | Counterexample policy |
|---|---|---|---|---|
| 1 | data owner | Sources and access classes are inventoried. | Direct observation or test bound to the current artifact | Run a safe negative fixture from the separate failure register; do not infer a one-to-one mapping by list position. |
| 2 | privacy owner | Retrieval permissions match source permissions. | Direct observation or test bound to the current artifact | Run a safe negative fixture from the separate failure register; do not infer a one-to-one mapping by list position. |
| 3 | retrieval engineer | Answers cite claim-level evidence. | Direct observation or test bound to the current artifact | Run a safe negative fixture from the separate failure register; do not infer a one-to-one mapping by list position. |
| 4 | evaluation owner | Deletion and refresh propagate to the index. | Direct observation or test bound to the current artifact | Run a safe negative fixture from the separate failure register; do not infer a one-to-one mapping by list position. |
| 5 | system operator | Adversarial documents are included in tests. | Direct observation or test bound to the current artifact | Run a safe negative fixture from the separate failure register; do not infer a one-to-one mapping by list position. |
Separate failure register
FAIL-01: Restricted documents placed in a shared index.FAIL-02: Retrieval evaluated only by answer fluency.FAIL-03: Stale chunks surviving source deletion.FAIL-04: Citations pointing to a relevant page but not the claim.FAIL-05: Prompt injection entering through indexed documents.
The register supplies negative cases for the complete acceptance set. A reviewer determines affected checks from observed evidence; array position never asserts that one failure proves or disproves one criterion.
The producer can explain what it attempted, but the evaluation owner evaluates the evidence. If the artifact changes, its prior verdict expires. This is especially important for a local retrieval-augmented knowledge system, where a plausible narrative can hide a stale configuration, an untested negative case, or an authority mismatch.
Failure and recovery drills
A useful Private AI Brain change protocol explains what happens when its happy path breaks. These drills come from the accepted product truth record rather than a claim that every buyer has each failure. Use safe synthetic or authorized observations for a local retrieval-augmented knowledge system, and keep private credentials out of every fixture.
1. Restricted documents placed in a shared index.
Detect for Private AI Brain: data owner captures a direct readback or safe fixture that makes this change protocol condition observable. Its record binds source, time, method, and the current ART-15-05 fingerprint.
Contain the change protocol: stop only the affected Private AI Brain path after observing “restricted documents placed in a shared index”. Preserve its failed material and last verified state instead of erasing evidence or blindly repeating an external effect.
Recover and prove: apply the smallest authorized Private AI Brain correction, then have a distinct reviewer re-evaluate the complete accepted check set. Do not select one check merely because it shares this failure's list position. If any affected change protocol check cannot run, its result remains NOT_TESTED.
2. Retrieval evaluated only by answer fluency.
Detect for Private AI Brain: privacy owner captures a direct readback or safe fixture that makes this change protocol condition observable. Its record binds source, time, method, and the current ART-15-05 fingerprint.
Contain the change protocol: stop only the affected Private AI Brain path after observing “retrieval evaluated only by answer fluency”. Preserve its failed material and last verified state instead of erasing evidence or blindly repeating an external effect.
Recover and prove: apply the smallest authorized Private AI Brain correction, then have a distinct reviewer re-evaluate the complete accepted check set. Do not select one check merely because it shares this failure's list position. If any affected change protocol check cannot run, its result remains NOT_TESTED.
3. Stale chunks surviving source deletion.
Detect for Private AI Brain: retrieval engineer captures a direct readback or safe fixture that makes this change protocol condition observable. Its record binds source, time, method, and the current ART-15-05 fingerprint.
Contain the change protocol: stop only the affected Private AI Brain path after observing “stale chunks surviving source deletion”. Preserve its failed material and last verified state instead of erasing evidence or blindly repeating an external effect.
Recover and prove: apply the smallest authorized Private AI Brain correction, then have a distinct reviewer re-evaluate the complete accepted check set. Do not select one check merely because it shares this failure's list position. If any affected change protocol check cannot run, its result remains NOT_TESTED.
4. Citations pointing to a relevant page but not the claim.
Detect for Private AI Brain: evaluation owner captures a direct readback or safe fixture that makes this change protocol condition observable. Its record binds source, time, method, and the current ART-15-05 fingerprint.
Contain the change protocol: stop only the affected Private AI Brain path after observing “citations pointing to a relevant page but not the claim”. Preserve its failed material and last verified state instead of erasing evidence or blindly repeating an external effect.
Recover and prove: apply the smallest authorized Private AI Brain correction, then have a distinct reviewer re-evaluate the complete accepted check set. Do not select one check merely because it shares this failure's list position. If any affected change protocol check cannot run, its result remains NOT_TESTED.
5. Prompt injection entering through indexed documents.
Detect for Private AI Brain: system operator captures a direct readback or safe fixture that makes this change protocol condition observable. Its record binds source, time, method, and the current ART-15-05 fingerprint.
Contain the change protocol: stop only the affected Private AI Brain path after observing “prompt injection entering through indexed documents”. Preserve its failed material and last verified state instead of erasing evidence or blindly repeating an external effect.
Recover and prove: apply the smallest authorized Private AI Brain correction, then have a distinct reviewer re-evaluate the complete accepted check set. Do not select one check merely because it shares this failure's list position. If any affected change protocol check cannot run, its result remains NOT_TESTED.
Ownership and handoff
| Role | Owned decision | Separation rule |
|---|---|---|
| data owner | owns the request boundary and confirms the intended consequence | May not approve evidence it produced when independent review is required |
| privacy owner | owns the bounded implementation surface and action receipt | May not approve evidence it produced when independent review is required |
| retrieval engineer | owns source material, freshness, and the claim-to-evidence map | May not approve evidence it produced when independent review is required |
| evaluation owner | owns release readiness, rollback, and destination verification | May not approve evidence it produced when independent review is required |
| system operator | owns the human approval or escalation decision | May not approve evidence it produced when independent review is required |
For this Private AI Brain change protocol, the adjudication role is evaluation owner. That role judges frozen acceptance evidence for a local retrieval-augmented knowledge system without becoming the product owner, legal adviser, security authority, or buyer. Its handoff retains open gaps, failed evidence, changed hashes, and the next action permitted for ART-15-05.
Evidence and acceptance
Use these product-specific statements as candidate acceptance checks:
- Sources and access classes are inventoried.
- Retrieval permissions match source permissions.
- Answers cite claim-level evidence.
- Deletion and refresh propagate to the index.
- Adversarial documents are included in tests.
For every Private AI Brain change protocol check, retain the tested object, environment or source, observation time, method, expected result, actual result, verifier identity, and artifact hash. In this ART-15-05 record, label a direct readback OBSERVED, a reproducible transformation COMPUTED, and an interpretation JUDGMENT; never merge those states into one confident claim.
The research packet observed 3 impressions across adjacent site queries such as “which of the following statements is true about retrieval” for the exact Search Console property https://sincllm.com/ during 2026-06-02/2026-08-30. Those observations help locate an existing audience vocabulary. They are not search-volume estimates, do not prove demand for this exact page, and do not predict clicks or rankings.
The product boundary remains controlling: Local deployment reduces some egress paths but does not make the data correct, the retrieval complete, or the answer safe. Access control, backups, logs, and operators remain part of the threat model.
Implementation checklist
- The change protocol names the distinct reader job: Change a local retrieval-augmented knowledge system without silently invalidating its evidence, interfaces, or rollback path.
- The input boundary is explicit: approved documents or data exports, access rules, answer use cases, and evaluation examples.
- The intended deliverable is explicit: a local-model RAG system checked by a QA agent.
- Every required acceptance check has current evidence or an honest NOT_TESTED status.
- At least one negative fixture covers restricted documents placed in a shared index.
- The evaluation owner is distinct from the artifact producer.
- Rollback or reopen conditions are written before consequential action.
- No ranking, traffic, conversion, compliance, certification, or buyer-outcome guarantee was added.
When this Private AI Brain change protocol has a failed item, repair that named item and rerun its dependent checks. Keep the frozen threshold intact; the remaining checks cannot establish that the failed ART-15-05 condition probably holds.
Sources and claim boundaries
- sincLLM product catalog — used only for product capability and boundary.
- NIST AI RMF resource — used only for general procedure and control guidance.
- OWASP GenAI guidance — used only for general procedure and control guidance.
For ART-15-05, the sincLLM catalog supplies the Private AI Brain product description. Its third-party references support only the general change protocol procedure each source addresses. None proves a buyer-specific outcome from Private AI Brain or turns this page into a ranking, citation, or AI-answer guarantee.
Keep the Private AI Brain next step bounded
Review the catalog for this change protocol, its required inputs, and its limits. Test any buyer-specific outcome from Private AI Brain in the buyer's environment instead of assuming it from the guide.
Explore the sincLLM product catalog