Source identity & provenance
Persistent public records help consumers distinguish what GoGuides observed from what a website claims about itself.
Reducing AI hallucination risk with provenance and verifiable evidence
GoGuides does not control what an outside AI model says and cannot guarantee that a model will never hallucinate. What GoGuides can do is make important source evidence easier to inspect before a system reads, cites, compares, or relies on web content.
The problem is bigger than “is this page reachable?”
A page can be fetchable while still leaving unanswered questions about identity, provenance, freshness, ownership, historical drift, structured-data changes, machine-facing policy, source relationships, and whether a specific claim is actually addressed by the stored source.
When those questions remain invisible, a downstream system may overstate what its source evidence supports. GoGuides is designed to expose more of that context in machine-readable form.
What GoGuides contributes
Observed Web State
Web State V3 exposes compact measurements of supported content, structured-data, header, link, word-count, and AI-policy state.
Change evidence
Change Intelligence compares stored observations deterministically rather than asking a model to guess whether a page changed.
Machine-use context
Evaluate can expose GoGuides' source-use decision context, supporting basis, limits, trust state, verification, and provenance.
Claim Support
A bounded model-assisted analysis can test one claim against one fixed current stored source observation and abstain when evidence is insufficient.
Content Relationships
Two exact URLs can be compared using stored evidence and conservative relationship states without inferring ownership or intent.
Verified Text
Source-attributed text records can carry stable identifiers and SHA-256 integrity values so consumers can verify they are using the same recorded text.
Explicit uncertainty
Unknown, insufficient-history, insufficient-evidence, unaddressed, and unavailable states are legitimate outputs rather than prompts to invent certainty.
Evidence → Interpretation → Decision
GoGuides v3 separates evidence classes instead of collapsing everything into one claim of “truth.” Observed facts remain distinguishable from deterministic comparisons, derived evidence, model-assisted judgments, and downstream decisions.
A system can use GoGuides evidence without being forced to accept every GoGuides-derived assessment as its final answer. The consuming system remains responsible for its own citation, ranking, safety, and source-selection policy.
What GoGuides does not claim
- It does not guarantee that an outside model will never hallucinate.
- It does not certify every statement on an observed website as true.
- It does not prove that a crawler visit caused training, citation, ranking, recommendation, or retrieval.
- It does not infer ownership, coordination, deception, or intent from content similarity alone.
- It does not turn missing evidence into a negative judgment about a source.
- It does not replace a consumer's own domain expertise, safety policy, or source-selection rules.