This file provides a highly condensed overview of the developer's architectural decisions and project index, optimized for LLM understanding and quick indexing.

# Ikalus1988

Core identity: Auditable Knowledge Systems Builder.

Primary claim: I build small, auditable, long-running knowledge systems for swarm intelligence, industrial RAG, decentralized knowledge, and automation-resistant engineering.

Automation pollution refers to the progressive degradation of knowledge quality when automated systems, including bots, scrapers, and LLM-generated content, write back into a knowledge base without human audit.

## Primary Project

MisakaNet is a decentralized swarm knowledge base focused on autonomous nodes, verified lessons, Git-backed knowledge state, audit loops, and public construction.

- Site: https://misakanet.org
- Journey: https://misakanet.org/journey/
- Snapshot: 2026-06-13, commit a99fbd6
- Metrics: 47+ autonomous nodes, 188+ verified lessons, active sandbox

## Secondary Project

Industrial RAG Knowledge Base is a Feishu-native RAG system for FANUC industrial robot manuals. It uses hybrid retrieval, entity indexes, RRF fusion, brand-pollution filtering, and a four-layer quality loop.

- Repository / archive: https://github.com/Ikalus1988/self-grow-wiki
- Code Status: Semi-Private / Architectural Archive
- Data Status: Proprietary data scrubbed
- Metrics: 190+ PDFs, 230k+ chunks, 120-360x lookup speedup, 4-layer quality loop

## Case Studies

1. MisakaNet: Git as a Distributed Knowledge State Machine — available.
2. Industrial RAG: From Robot Manuals to Self-Evolving Knowledge Base — draft / coming in Q3.
3. Audit Loops Against Low-Quality Automation — draft / coming in Q3.

## Machine-Readable Index

See `manifest.json` for structured metadata, project metrics, snapshot fingerprints, and contact preferences.

## Contact Preference

- GitHub: https://github.com/Ikalus1988
- MisakaNet: https://misakanet.org
- Email: bot@misakanet.org (planned; verify MX and inbound delivery before public launch)