Calibration Manual

This manual teaches teams how to calibrate a working CLARIXO chain into a stable production baseline.

Integration proves the chain exists. Calibration proves the meanings are stable. Use this manual to align scene semantics, review logic, degraded interpretation, operator thresholds, and rollout readiness before scale-up.

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Calibration Scope

Do not calibrate prompts first. Calibrate meanings and operator decisions first.

Most teams jump straight into output tuning. Real calibration starts with meaning stability: what each scene means, when degraded output is acceptable, when a turn needs review, and how operators will interpret runtime states.

Step 1

Scene semantics

Confirm that source, module, and scene values still match the real host behavior and operator expectation.

Step 2

Review logic

Define when a turn should remain healthy, when it becomes watch-state, and when it should be treated as needs-review.

Step 3

Degraded interpretation

Teach the host and operators how fallback, low-confidence, or partial success should appear without being mislabeled as healthy.

Step 4

Rollout readiness

Confirm that operator pages, breakdowns, and runtime detail views remain trustworthy before sending more traffic through the chain.

What To Align

Calibrate the operating model, not just the reply text

Scene meaning
Check whether a scene name still describes the actual business context, not an old implementation artifact.
Operator thresholds
Define what low confidence, fallback, or degraded success means for your team operationally.
UI interpretation
Make sure operator pages distinguish healthy, degraded, and reviewable states instead of flattening them into “success”.
Escalation logic
Decide when a turn should trigger human review, queueing, annotation, or deeper runtime inspection.
Calibration Checklist

Minimum calibration pass before wider rollout

Calibration order:
1. Reconfirm source / module / scene semantics
2. Reconfirm runtime states your operators will see
3. Define healthy vs degraded vs review-needed meanings
4. Verify overview page percentages match operator expectations
5. Verify runtime-detail pages explain degraded outcomes clearly
6. Verify provider and status attribution remain readable
7. Verify edge cases do not silently flatten into healthy
8. Record the current baseline before scale-up
Important: do not call an integration “production-ready” just because the chain returns answers. Calibration is complete only when operators can interpret the system consistently.