Turning AI engineering experience in government, finance, manufacturing, and content into reusable methodology
When general LLM capabilities plateau, the real differentiator becomes domain knowledge, engineering rigor, and data flywheels. A practical path for vertical AI agents in production.
Compliance review, knowledge management, risk labels — the real difficulty in government AI is not the model, but engineering regulatory rules into a reusable capability platform.
Retrieval-augmented generation (RAG) is the core technique for knowledge-heavy finance workflows — but copying generic templates usually fails. The engineering details of enterprise retrieval, evidence traceability, and conclusion review.
The harness and connector industry lacks no CAD tools — it lacks systems that truly read drawings, extract BOMs, validate connections, and generate board layouts. This is the foundation where vision meets engineering semantics.