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ClarityOps (LLM-Only)
ClarityOps runs fully inside an LLM chat:
- User pastes a scenario and optionally attaches data files (CSV/XLSX/PDF).
- Phase 1: ClarityOps reads everything and asks up to 5 grouped clarification questions.
- User answers in the chat.
- Phase 2: ClarityOps produces a validated, structured analysis.
No external code, servers, or UI — all interaction is conversational.
How to use (operator playbook)
Turn 1 (User): Paste the scenario using /prompts/user_scenario_template.txt. Attach any files.
Turn 2 (Model): ClarityOps returns Phase 1: Clarification Questions (≤5, grouped). It stops and waits.
Turn 3 (User): Reply using /prompts/answer_clarifications_template.txt.
Turn 4 (Model): ClarityOps returns Phase 2: Structured Analysis in the exact format from /prompts/phase2_format.txt.
Notes
- The system prompt (
/prompts/system_master.txt) enforces the two-phase behavior, numerical transparency, units, and medical guardrails. - The schema (
/schemas/phase2_output.schema.json) is provided as a reference shape that the model mirrors in Phase 2. (The LLM follows it; there’s no external validator.) - The guardrails (
/policies/medical_guardrails.md) define units, ranges, privacy, and recommendation style.