START HERE — Neutral RITAPod™ v2.9
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Lens: neutral
Citation Contract grounding only — no plaintiff or defense strategic emphasis.

The RITAPod is the primary deliverable — a portable, grounded chronology for
any LLM. Formatted reports are optional; this file is the case intelligence.

De-identified chronology only. No identified patient data is included in this pod.
PHI was machine-verified before packaging.

Which path should I use?
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Path A — Drop-and-go (fastest; web UI)
  Upload or paste DropMeInYourFavoriteAI.json into ChatGPT, Claude, Gemini, or a firm web LLM.
  Best for: quick Q&A, sharing with co-counsel, exploring the record on any model.
  Know this: grounding rules are in the cleartext ai_system_prompt field inside
  the JSON (intentional — not a secret). Web UIs usually treat the whole file as
  a user message; most models honor ai_system_prompt well. For mission-critical
  citation fidelity prefer Path B or C.

Path B — Local runner (strongest grounding; true system-role injection)
  Run: python ritapod_runner.py  (or double-click AskRITAPod.bat on Windows)
  Best for: local Ollama and repeatable Q&A without re-uploading each session.
  Know this: instructions.enc holds the same grounding rules as ai_system_prompt
  so the runner can inject them as a true system message (citation-fidelity /
  prompt-injection quality — NOT confidentiality). The runner ALSO prints the
  opening legal-advice disclaimer BEFORE the first model call — that part is
  hard-coded (not left to the model). The chronology JSON still includes
  ai_system_prompt for Path A drop-and-go.

Path C — API (production / firm-hosted)
  python ritapod_runner.py --provider openai
  Set OPENAI_API_BASE, OPENAI_API_KEY, and OPENAI_MODEL (or Ollama vars).
  Best for: firm-hosted or BAA-covered endpoints, scripted workflows, and the
  best citation fidelity — the runner injects grounding as a true system
  prompt instead of a pasted attachment.

Lens disclaimer
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The export lens (Plaintiff, Defense, Expert Prep, or Neutral) sets DEFAULT
SUMMARY EMPHASIS ONLY — it is not advocacy AI and it is not a cage. The pod
answers any question the chronology supports, including opposing-side theories.
Ask directly; explicit questions always take precedence over lens defaults.

Suggested starter questions
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  - Summarize the documented clinical timeline with event citations.
  - What categories of care are absent from the extracted chronology?
Quick start (Path A — drop-and-go)
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1. Upload or paste DropMeInYourFavoriteAI.json into ChatGPT, Claude, Gemini, or a firm LLM.
2. Ask your questions. Grounding and event_id citations are baked into the file
   (ai_system_prompt) — no separate prompt to paste and no program to run.
3. For stronger citation fidelity (true system-role injection), use Path B or C
   in GUIDE.txt.

RITAPod™ is a trademark of Precision Medical Legal Consulting, LLC. All rights reserved.
See GUIDE.txt for runner setup, PHI details, and production export requirements.
