Coherix's structural-coherence governance product — connected to CMCI
You are visiting Coh, a Coherix product in controlled access, connected to CMCI, designed with an active,
supervised and auditable learning/calibration loop.
Coh is built to measure, govern and improve AI interactions through structural-coherence signals. A model
produces a draft, CMCI measures its structural coherence, and Watchdog decides whether to show it, flag
it for caution, or hold it for human review. Reviewed cases and CMCI signals can support
responsible, controlled and traceable improvement.
📄 Analyze a PDF / image (operator) — do not upload confidential data
What Coh does
Coh places a measurement-and-decision layer between a generative model and you. Every response is measured
by CMCI — an operational engine that quantifies structural coherence, internal tension and drift —
and the Watchdog decides whether to show it, caution it, or hold it for human review.
How to use this preview
Ask a clear question in the box above.
Read the response and its coherence verdict (the colored panel).
Open “What do these mean?” to see the structural reading.
Try a sensitive or ambiguous topic and watch the verdict change.
Example prompts
Click a prompt to load it, then press Send.
Reading the verdict
Green — shown. The response holds together structurally.
Amber — shown, read with caution. It holds together but shows internal tension.
Red — held for review. It did not meet the coherence threshold and was routed to human review.
What you are evaluating
Coherence is a structural signal, not a guarantee of factual accuracy — read verdicts as structural assessments.
Coh complements, and does not replace, your policy guardrails and human judgment.
The engine is in active, supervised calibration; verdicts reflect the current calibration.
Held responses are routed to human review; reviewed cases may support a supervised, auditable calibration process, separate from the live user loop.
Before you type
Please do not enter confidential, personal, or regulated data. This is a controlled evaluation
preview — treat it as a non-confidential environment.