# Policy Baseline — Guardrails and Fix Pattern

<details>
  <summary><strong>🧭 Quick Return to Map</strong></summary>

<br>

  > You are in a sub-page of **Governance**.  
  > To reorient, go back here:  
  >
  > - [**Governance** — policy enforcement and compliance controls](./README.md)  
  > - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](../README.md)  
  > - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md)  
  >
  > Think of this page as a desk within a ward.  
  > If you need the full triage and all prescriptions, return to the Emergency Room lobby.
</details>


This page defines the **baseline governance policies** every AI or RAG pipeline must enforce before scaling.  
If policies are missing, unclear, or unenforced, you risk silent drift in outputs, hallucinations re-entering, or compliance violations.  
Use these checks to create a structural foundation and verify with measurable acceptance targets.

---

## When to use this page
- No clear baseline for data usage, model updates, or prompt changes.  
- Teams argue over “policy by exception” instead of a shared rulebook.  
- Compliance asks for guarantees, but your audit trail cannot prove them.  
- Safety or security incidents trigger blame on “undefined responsibilities.”  

---

## Acceptance targets
- **Coverage**: ≥ 0.95 of datasets, prompts, models, and eval flows mapped to explicit policies.  
- **Traceability**: 100% of policy documents link to lineage and audit logs.  
- **Enforcement**: ΔS(question, retrieved) ≤ 0.45 when querying governed datasets.  
- **Convergence**: λ remains convergent across 3 paraphrases and 2 seeds.  
- **Expiry**: Every waiver or exception tagged with owner and end-date.  

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## Common policy failures → exact fixes

| Symptom | Likely cause | Open this |
|---------|--------------|-----------|
| Datasets used without clarity on rights | license ambiguity or drift | [license_and_dataset_rights.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Governance/license_and_dataset_rights.md) |
| No control on prompt or instruction drift | missing policy baseline | [prompt_policy_and_change_control.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Governance/prompt_policy_and_change_control.md) |
| Model updates shipped silently | lack of release governance | [model_governance_model_cards_and_releases.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Governance/model_governance_model_cards_and_releases.md) |
| Audit asks “who approved this?” | missing sign-off gate | [eval_governance_gates_and_signoff.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Governance/eval_governance_gates_and_signoff.md) |
| Sensitive data leaked | no minimization baseline | [pii_handling_and_minimization.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Governance/pii_handling_and_minimization.md) |

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## Fix in 60 seconds

1. **Declare scope**  
   Enumerate datasets, prompts, models, eval flows. Each must map to a baseline policy.

2. **Add ownership**  
   For every item, tag `owner`, `expiry`, and `waiver_ref` if applicable.

3. **Enforce citation-first**  
   Require cite-then-explain across all governed answers.  
   Verify with ΔS and λ probes: stable ≤ 0.45 ΔS, λ convergent.

4. **Attach audit hooks**  
   Every policy enforcement event logs to immutable audit trail.

---

## Minimal copy-paste checklist

- [ ] Datasets rights and licenses verified  
- [ ] Prompt change control in place  
- [ ] Model releases tied to governance cards  
- [ ] Eval gates with sign-off documented  
- [ ] PII minimization baseline applied  
- [ ] Risk register updated with waivers  

---

### 🔗 Quick-Start Downloads (60 sec)

| Tool | Link | 3-Step Setup |
|------|------|--------------|
| **WFGY 1.0 PDF** | [Engine Paper](https://github.com/onestardao/WFGY/blob/main/I_am_not_lizardman/WFGY_All_Principles_Return_to_One_v1.0_PSBigBig_Public.pdf) | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + \<your question>” |
| **TXT OS (plain-text OS)** | [TXTOS.txt](https://github.com/onestardao/WFGY/blob/main/OS/TXTOS.txt) | 1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly |

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### Explore More

| Layer | Page | What it’s for |
| --- | --- | --- |
| ⭐ Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof |
| ⚙️ Engine | [WFGY 1.0](/legacy/README.md) | Original PDF tension engine and early logic sketch (legacy reference) |
| ⚙️ Engine | [WFGY 2.0](/core/README.md) | Production tension kernel for RAG and agent systems |
| ⚙️ Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine (131 S class set) |
| 🗺️ Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure taxonomy and fix map |
| 🗺️ Map | [Problem Map 2.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card for RAG and agent pipeline diagnosis |
| 🗺️ Map | [Problem Map 3.0](/ProblemMap/wfgy-ai-problem-map-troubleshooting-atlas.md) | Global AI troubleshooting atlas and failure pattern map |
| 🧰 App | [TXT OS](/OS/README.md) | .txt semantic OS with fast bootstrap |
| 🧰 App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q&A built on TXT OS |
| 🧰 App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image generation with semantic control |
| 🏡 Onboarding | [Starter Village](/StarterVillage/README.md) | Guided entry point for new users |

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