Insights
What we learn building and running AI systems for operators — document intelligence, MCP integrations, project controls, and the roadmaps that actually get built. Written by the engineers doing the work.
Drawings, specs, transmittals and vendor data pile up faster than any team can tag them. How to design an AI classification layer over a project document register: the metadata schema, the pipeline, confidence routing, revision tracking, and cited answers.
Ryan Harty · Founder & Principal Engineer
How to make an ERP, a schedule, or a document system conversational without handing the model the keys: one server per system, read-first tools, identity passed through, every call logged, evals before demos.
Ryan Harty · Founder & Principal Engineer
Most AI initiatives in operations do not fail on model quality. They fail in the handoff between strategy and engineering. What the gap looks like from inside a real operation, and the three things that close it.
Ryan Harty · Founder & Principal Engineer
Bring the workflow that should already be automated. Thirty minutes with an engineer who has shipped it before.