Practical notes on local-first knowledge systems, AI agents, and team intelligence.
Jul 6, 2026
What actually happens in the first week of turning scattered team knowledge into a working, AI-augmented knowledge base.
Read more: A company AI brain in 7 days — a realistic walkthroughJul 6, 2026
Over 10,000 organizations run on Obsidian, yet almost nobody will install and operate it for a team. That gap is the whole opportunity.
Read more: The gap in the knowledge marketJul 6, 2026
How scattered conversations, documents, and decisions become a linked, queryable asset an AI agent can safely work with — in five stages.
Read more: The Knowledge Refinery, explainedJul 6, 2026
The bottleneck between an impressive AI demo and a system your team actually relies on is not the model. It is architecture, governance, and maintenance.
Read more: Pilot purgatory: why most AI agents never reach productionJul 6, 2026
A two-plane architecture that gives teams collective intelligence without giving up data sovereignty or GDPR compliance.
Read more: Public vs. private: how teams use AI without leaking data
