Draft
Context Engineering for Reliable Enterprise AI
How context quality, retrieval and provenance shape dependable enterprise AI.
Draft
How context quality, retrieval and provenance shape dependable enterprise AI.
Draft
A technical approach to organizing sources and validating generated outputs.
Draft
Tool constraints, evidence, evaluation and human escalation for enterprise agents.
Presented at ML Con Munich 2026 and scheduled for ML Con Berlin 2026.
Conference materialAn upcoming ML Con Berlin session on bounded tools and accountable agent action.
Conference materialNoisy OCR, modular extraction, validation and human review.
Conference materialPublication in preparation
The Living Blueprint maps five layers beneath behavior and identity.
Explore the Book