INSIGHTS

What we learn in the field.

Sharp, short pieces on deploying AI where it is hardest. Written by the engineers doing the work.

The last mile is the whole game.

Why the gap between a capable model and a working system is where value is won or lost, and how to close it.

Independence is a feature.

As deployment shops get absorbed by the labs, model-neutrality becomes a strategic asset for the buyer. Here is what that changes.

Sovereignty as a starting point.

Data residency, KVKK, CCPA and regional rules are not blockers. Designed in from the first line, they are an advantage.

Buy the outcome, not the pilot.

How to structure an AI engagement so you pay for production, not for slideware.

Field notes

RSS
Why your AI pilot will die in the third quarter, and how to tell now Strategy June 2026 On call for agents: what production AI actually requires Operations May 2026 The evaluation suite is the spec Evaluation May 2026 Grading the ungradable: test sets for judgment calls Evaluation April 2026 One agent, then ten: sequencing an agentic portfolio Strategy March 2026 What the team does after the agent takes the queue Organisation February 2026
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