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Field notes from production AI
Governance, delivery, and engineering. Written by the team that ships agents into regulated enterprises, not by a content calendar.
Picking a model per task, with evals to prove it
Model-agnostic is easy to say and hard to operate. Here is how we match models to tasks inside enterprise agents, and the small eval harness that keeps the choice honest.
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One agent, one job: how we scope automation that ships
Broad AI assistants demo well and deploy badly. The agents that make it to production own one process end to end. Here is the scoping method we use with every customer.
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Why enterprise AI pilots die in security review
Most enterprise AI pilots don't fail on accuracy. They fail on audit trails, access control, and data residency. Here is what security teams actually check, and how to pass.
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