Field Notes
Writing from inside the work.
Field notes from production AI engagements in defense, federal civilian, and enterprise environments. No theory. No takes. Just what we saw.
- Operations2026-04-16
The first thirty days after AI goes live.
What launch day does not prepare you for. The operational realities that separate systems that stick from systems that get quietly turned off.
- Data2026-04-14
Data readiness for production AI.
The unglamorous work that has to happen before a model ever runs. A field guide for the state most enterprise data is actually in.
- Methodology2026-04-12
From pilot to production.
The engineering sprint methodology we use to take AI systems from scoping to live deployment in a single quarter.
- Government2026-04-10
What 'SDVOSB AI' actually means.
How set-aside contracting creates faster paths to production AI for government programs.
- Compliance2026-04-08
The ATO timeline survival guide.
How to build AI systems that survive the authorization process without adding twelve months to your delivery timeline.
- Engineering2026-04-05
What production AI actually looks like.
The gap between a demo and a deployed system is where most AI investments die. Here is what separates the two.
- Federal2026-04-02
Why most government AI pilots fail.
The three patterns we see kill federal AI initiatives before they ever reach production. And what to do instead.
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