AI Knowledge SystemThe right context. At the right time.
An Obsidian knowledge architecture that organizes projects and guides AI agent retrieval.
01OVERVIEW
The right context. At the right time.
An Obsidian knowledge architecture that organizes projects and guides AI agent retrieval.
Product definition and AI-assisted development, connecting requirements, implementation and review.
Central index, hubs and retrieval rules verified in the vault. No token savings percentage has been measured.
02THE PROBLEM
Loading notes from every project mixes histories and consumes context without helping the current decision.
03THE SOLUTION
A central index leads to isolated project hubs. Historical references are opened only when a specific question requires more information.
04ARCHITECTURE
Question — The task defines what information is needed.
An explanatory diagram of the documented scope. This is not live system monitoring.
05FEATURES
Central index and project hubs
Implemented¹On-demand references
Implemented¹Priority for code and current evidence
Implemented¹Context savings measurement
Planned¹ Identified in code or implementation documentation; not equivalent to a new production test.
06TECHNOLOGIES
07TECHNICAL CHALLENGES
Separating current state from history and making the stopping condition explicit.
08REAL SCREENSHOTS
No reviewed screenshot is available to publish yet.
09LESSONS LEARNED
Useful memory needs clear retrieval paths and boundaries. More information does not automatically mean a better decision.
10LINKS
Public repository not provided.
06NEXT CONVERSATION
LET’S BUILD SOMETHING.An interesting problem?
Let’s build.
Web systems, automation and tools that turn an idea into working software.