docs: create home
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John Smith
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home.md
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208
home.md
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---
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title: home
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description: home
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published: true
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date: 2025-04-04T07:01:55.964Z
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tags:
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editor: markdown
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dateCreated: 2025-04-04T07:01:55.964Z
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---
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<!--
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---
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title: "Janusian Documentation Strategy"
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description: "A strategy for building human-readable, RAG-optimized documentation for AI agents at NeuroMentum."
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project: "infra_docs"
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category: "meta"
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tags: ["documentation", "RAG", "ai_agent", "wiki", "postgres"]
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hierarchy: ["meta"]
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created: "2025-04-04"
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last_reviewed: "2025-04-04"
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visibility: ["human", "ai_agent"]
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agent_usage_hint: "Use this strategy to format all documentation for dual human-agent readability."
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version: "v1"
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---
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-->
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# 🪶 **Janusian Documentation Strategy**
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### For AI Agent & PostgreSQL Infrastructure at NeuroMentum
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---
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## 🌟 **Preamble: The Janusian Vision**
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Our documentation is more than technical scaffolding — it’s an interface between human insight and machine inference. Following **Janusian design principles**, this plan ensures:
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- 🧠 **Human-readability** (wiki-style hierarchy, intuitive naming)
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- 🤖 **AI-compatibility** (semantic metadata, chunked content, retriever-optimized)
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- 🔄 **Dual-perspective thinking**: all docs are shaped for both **intelligent co-developers** and **intelligent consumers** (agents, LLMs, and future tools)
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- 🔮 **Future-proofing** via metadata, version control, and traceable structure
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---
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## 📁 1. **Folder Hierarchy: Wiki-Readable, Logically Scoped**
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Keep folder structure intuitive, max 3–4 levels deep:
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```
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docs/
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├── postgres/
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│ ├── schemas/
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│ ├── monitoring/
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│ └── admin_tasks/
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├── personas/
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│ ├── chatgpt/
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│ ├── khebri/
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│ ├── scarabone/
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│ └── scarabtwo/
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├── agent_architecture/
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│ ├── kafka/
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│ ├── llm_integration/
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│ └── task_orchestration/
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├── reference/
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│ └── utf8_handling.md
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└── manifest.md
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```
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📌 Each folder = a logical domain
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📌 Each file = a self-contained, RAG-chunkable unit
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---
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## 🏷️ 2. **Embedded Metadata per File**
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Every file begins with **structured YAML frontmatter**:
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```yaml
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---
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title: "Khebri Schema"
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description: "PostgreSQL schema for thread tracking and status."
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project: "chatBCI"
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category: "schemas"
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tags: ["postgres", "khebri", "thread", "active_status", "sql"]
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hierarchy: ["postgres", "schemas"]
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created: "2025-03-31"
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last_reviewed: "2025-04-04"
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visibility: ["human", "ai_agent", "scout_agent"]
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agent_usage_hint: "Use when setting up or querying thread states"
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version: "v1"
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---
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```
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📎 Purpose:
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- Helps RAG engines **filter** and **rank** results
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- Enables **traceability** for future tooling
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- Bridges intent between human and AI agents
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---
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## 📦 3. **Chunking + RAG Readiness Guidelines**
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Each doc should:
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- Be under **1000–1500 tokens per section**
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- Use **semantic headings** (e.g., `## Create Thread Table`, `## Reset Identity Counter`)
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- Include **examples + explanations** (`Why`, `When`, `How`)
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- Add **"Janusian Intent"** callouts:
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```md
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> 🧠 Janusian Intent: This query resets identity counters to preserve clean state across simulation iterations and testing loops.
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```
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---
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## 🧠 4. **Central Metadata Registry: `janus_index.json`**
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Maintained at project root (`docs/`), this file tracks every document:
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```json
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{
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"docs/postgres/schemas/khebri.sql": {
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"title": "Khebri Schema",
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"tags": ["postgres", "schema", "threads"],
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"hierarchy": ["postgres", "schemas"],
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"version": "v1",
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"agent_usage_hint": "Used during thread setup, task tracking",
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"visibility": ["ai_agent", "human"]
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}
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}
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```
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💡 **Bonus**: Later you can auto-generate this via a crawler script.
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---
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## 🧬 5. **Versioning + Change History**
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Use simple folder or file-based versioning:
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```
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docs/
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└── personas/
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└── khebri/
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├── v1.md
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└── v2.md
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```
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Or append version into frontmatter and add `CHANGELOG.md` per folder:
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```yaml
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version: "v2"
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changelog:
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- "2025-04-01: Added updated persona structure"
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- "2025-03-31: Initial draft"
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```
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---
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## ⚙️ 6. **RAG Integration Features (Future-Ready)**
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Later, these files can power:
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- **Chunk-based vector search**
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- **Metadata + embedding fusion retrieval**
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- **Agent-specific prompt context filters** (via `tags`, `hierarchy`, `agent_usage_hint`)
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- **Access gating** with `visibility` field
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📦 Optional: Extend with `graph` or `relations` fields to define links:
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```yaml
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graph:
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links_to: ["state_transitions.md", "thread_multistates.md"]
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agent_role: "architect"
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```
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---
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## 🚀 7. **Starter Scripts to Support This System**
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We can build:
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- `build_index.py`: Scans folders, extracts frontmatter, outputs `janus_index.json`
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- `chunk_docs.py`: Breaks large docs into overlapping chunks with hierarchy/context
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- `rag_query_preview.py`: Preview which doc chunks would be retrieved for a given question
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Let me know if you'd like these generated! 💻
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---
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## 🧭 8. **Agent-Aware Style Guidelines**
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| Style Area | Guideline |
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|------------------|-----------|
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| 💬 Headings | Use `##` or `###` consistently for chunk boundaries |
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| 💡 Intent Blocks | Add "Janusian Intent" sections to explain *purpose* |
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| 💻 Code Blocks | Use real SQL / shell / markdown examples |
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| 🔗 Cross-links | Use relative paths: `[See thread states](../states.md)` |
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| 🔒 Access Hints | Use `visibility` to mark human vs. agent-readable |
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---
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## 📌 Final Summary
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**Your RAG-ready Janusian doc system** will be:
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- 🔍 **Searchable** by humans and AI
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- 🧱 **Modular**, well-scoped, chunkable
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- 🏷️ **Metadata-rich**, with project, version, intent, and role info
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- 🧠 **Philosophically aligned** with human-AI co-development
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- 💡 **Designed to scale**, as agents and tooling grow
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---
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