Research & practical guidance
Practical research on evaluating answers, controlling information and keeping the source behind a conclusion within reach.
Evaluation
Flip a million fair coins and remove every tail. A survivor can finish with a perfect record and no predictive edge. Some runs end with none. The experiment exposes what a selected track record hides, then shows how an untouched test can catch overfitting.
Read The Curve-Fitting Trap
Practical control
Move confidential files and inference onto protected, customer-controlled hardware with no open internet path. The article explains the remote attack route this removes and the physical, software and human risks that still need controls.
Read the guide
Operating discipline
A local system can still fetch a poisoned package or change its model through a live connection. Compare cloud, connected-local and pinned-offline designs: what runs, who can change it, and what can cross the boundary.
Read Live vs. PinnedSpecialist library
Research reviewed October 21, 2026
Follow the six steps from a user’s desk to an AI response. Encryption protects important parts of the journey; ordinary hosted inference still processes readable information on provider infrastructure.
Use research to sharpen the questions you ask. Test the actual collection and workflow before relying on an implementation.
Our evaluation approachProcessing location is only part of the operating boundary. Access, support, updates and exports also matter.
Technical security reviewPut these questions to work on your own records.
Discuss Your Project