Corporate knowledge and verifiable answers
Search across complex documents with cited evidence, controlled corpora, permissions, model cost, and answer quality.
We publish only material that can be described without identifying parties or making unverified outcome claims: context, constraint, architecture decision, and tradeoff.
AI search, geodata, and registries need the same discipline: normalized data, clear permissions, verifiable sources, and observable operations.
Search across complex documents with cited evidence, controlled corpora, permissions, model cost, and answer quality.
Maps as operational tools: layers, data provenance, object search, territorial comparison, and reliable mobile use.
Catalogues and registries with normalized data, deadlines, sources, filters, and controlled updates.
Each note records the original constraint, selected architecture, and accepted tradeoffs. Parties, outcomes, and metrics are not disclosed.
How to establish service ownership, plan a safe migration, and make controlled changes to a critical system.
What to decide when access roles, audit logs, data quality, and interface resilience matter.
How to separate search, caching, queues, and observability so changes remain controlled.
The journal includes articles on AI cost, monoliths, TypeScript, RAG, Kubernetes, and PostgreSQL under load.
Routing, caching, batching, and verifiable economic impact.
When a monolith is cheaper, faster, and more reliable than microservices.