Create the candidate.
The selected model responds naturally to the user’s request.
Coherence preserves the useful work AI can do while giving CRE a separate job: control what may move from a fluent candidate into reliability-enhanced output.
Models and tools remain powerful contributors. They do not award themselves a reliability verdict. CRE applies a deterministic control path around the preserved candidate.
AI, search, documents, tools, and user input contribute to the work.
The Coherence Reliability Engine determines whether the candidate can pass, must change, or requires specific outside input.
The user receives the cleared output or a precise, visible limitation—never an invisible reliability downgrade.
The public workflow explains the responsibility of each stage without disclosing CRE’s proprietary adjudication mechanics.
The selected model responds naturally to the user’s request.
The prompt and exact candidate are preserved before reliability processing changes anything.
Independently scoped model roles may supply typed observations, never the verdict.
CRE evaluates the candidate against the available scope, authority, evidence, and structural obligations.
CRE may constrain automatic repair or request the specific outside input a lawful continuation requires.
A repaired candidate receives a fresh reliability pass. Better wording alone does not clear it.
The reliability-enhanced response crosses the final gate with its decision path preserved.
Failing closed means an unresolved candidate cannot quietly become the final response. CRE still prefers the least disruptive lawful outcome.
Coherence may use independently scoped models, advanced search, documents, and specialist tools around a preserved candidate. Those systems contribute observations and candidate evidence; CRE retains decision authority.
See the workflow in Coherence or explore the public enterprise architecture.