Case studies

Case study and projects

My focus: context layers for AI agents. The case study shows client work; supporting projects document further architecture and engineering experience.

0:50 · Governed context workflow

Context Layer for AI Agents: Sourced Answers and Human-Approved Actions Across Chat, Tickets, Wiki and CRM

Case study: a context layer for AI agents on a temporal knowledge graph. Sourced answers from chat, tickets, wiki and CRM, external actions authorized before execution.

September 5, 2026 · 17 min

Further architecture and integration projects

Further technical projects

Supporting development work and technical validation. Each detail page states its project status and measurement limits.

The context layer for your AI agents

Your agents answer from whatever the retriever finds, and too often that is last quarter's truth. I build the context layer they answer and act from: a temporal knowledge graph that keeps every fact with its source and the time it held, reads with each person's own permissions, and writes nothing without a person's approval. On your own tenant, billed by the hour, step by step.