Self-healing LLM context recovery and token optimization
Author: Lane Lloyd Date: January 11, 2026 License: CC BY-SA 4.0
This repository contains defensive publications establishing prior art for novel methods in AI knowledge management and LLM context optimization.
Key Innovations:
- AI-native database architecture using indexed markdown + git (zero infrastructure)
- Self-referential context recovery for LLMs (no external RAG needed)
- Token optimization through format elimination (86% reduction)
Formal defensive publication with CC BY-SA 4.0 license covering three innovations:
- Self-referential context recovery for LLMs
- Token optimization through format elimination
- Semi-automated context persistence
Comprehensive technical specification of the database replacement architecture:
- The three-component system (reference tag + 30-token schema + git)
- Performance benchmarks (60-150x faster recovery)
- Prior art analysis
- Patent claims structure
<ref>
PATH:library/index.json
LIB:library/
WHEN:unknown/confused
DO:read index→match tags→read file
MAINTAIN:save important→add to index
</ref>Combined with:
{"v":"1.0","u":"2026-01-11","i":[{"t":["tags"],"f":"path/file.md","s":"section"}]}Creates database-equivalent functionality with:
- 2-3 second crash recovery (vs. minutes/hours)
- 100x context reduction through lazy loading
- Zero infrastructure overhead
- Natural language queries via semantic tags
This repository serves as:
- Prior art to prevent proprietary patent lock-up
- Defensive publication under open license
- Attribution source for derivative works
- Public knowledge contribution
This work is licensed under CC BY-SA 4.0.
You are free to share and adapt this work for any purpose, including commercial, provided you:
- Give appropriate credit to Lane Lloyd
- Indicate if changes were made
- Distribute under the same license
Lane Lloyd (2026). "The Lane Method: Self-healing LLM context recovery
and token optimization." GitHub. https://github.com/12wqa/lane-method
Established: January 11, 2026 Location: Melbourne, Victoria, Australia