This is the reference surface for AIM (Adaptive Intelligent Measurement). It is written for the engineer who needs to verify, not the buyer who needs to be persuaded. Every page answers in this order: what it does, what you send, what you get back, what can go wrong.
AIM measures performers, human or AI, on calibrated interval scales. The flagship ruler is the Model of Hierarchical Complexity (MHC) reasoning-complexity order: a Rasch-family conjoint measurement scale on which humans, AI agents, and robots take locations with stated standard errors. Additional scales (hallucination propensity, persuasion severity and effectiveness, and others) are in build or in pilot on the same measurement discipline.
A measurement is a location on a construct, plus the standard error at that location, plus the calibration vintage of the instrument that produced it. Nothing ships without the uncertainty stated.
The discipline behind every page on this surface:
Concepts. The measurement model, the stated-SE-per-band discipline, and the certification tiers. Start here if you need to know what a number from AIM means.
API (planned). The programmatic surface under design: endpoints, authentication model, request and response shapes, error taxonomy. Nothing on that page is callable today.
Scientific references. The published method and the registrations behind every number: NIST AI 800-3 alignment, the Cambridge Handbook chapter, OSF registrations, and the 16-year research program.
These pages are the engineering and scientific reference for AIM. The API is planned, not live. Where a number appears it is the verified figure, and where a scale is not yet certified it is labeled with its tier. Links on this surface are stable.
