Draft
Context Engineering for Reliable Enterprise AI
How context quality, retrieval and provenance shape dependable enterprise AI.
Writing
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.
Conference material
Presented at ML Con Munich 2026 and scheduled for ML Con Berlin 2026.
Conference material
An upcoming ML Con Berlin session on bounded tools and accountable agent action.
Conference material
Noisy OCR, modular extraction, validation and human review.
Publication in preparation
The Living Blueprint maps five layers beneath behavior and identity.