Architecture and data flows
Make boundaries, sources, transformations, dependencies and failure paths visible.
Insights
Technical explanations about architecture, data flows, decision models, AI and knowledge systems, integrations, observability, production and operations.
Technical themes
Make boundaries, sources, transformations, dependencies and failure paths visible.
Make the route from evidence to judgement, action and outcome explicit.
Design work so new outcomes and feedback become evidence for the next improvement.
Treat context, retrieval, evaluation, source authority and human control as system concerns.
Design permissions, releases, recovery and operating ownership beyond a demonstration.
Measure system health, model behaviour, exceptions and impact as the context changes.
Use models only when the task, representative data, evaluation and continued monitoring justify them.
PKA guides
Context selection, memory, workflows, rights, logging, approval and connected systems.
Read guideChoose instructions, files or retrieval based on the actual knowledge problem.
Read guideWhy extraction, versions, metadata and source ownership determine answer quality.
Read guideCompare SaaS, hybrid, European, private and local options without one default answer.
Read guideMove information from draft to approved and eventually deprecated status.
Read guideUnderstand which factors drive implementation and recurring operational work.
Read guideEvidence before complexity