
Research
We study what happens when a real company hands its judgment and its work to machines; how faithfully a model can stand in for one person, what agents actually do when the stakes are real, and how much of it can run on hardware you own. We want the leverage this technology creates to stay within reach of small teams and individuals.
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A company that runs out of a folder of text files
Note3 Sep 2026

Let the model think before the JSON
Field note3 Sep 2026

LM Studio divides the context window among parallel slots
Field note3 Sep 2026

The latency was the reasoning budget, not the model
Field note3 Sep 2026

A clean-room reviewer finds different bugs
Note3 Sep 2026
