AUR Research Journal

Notes from a research lab in public.

A running record of the questions, standards, failures, and decisions that shape AUR's investigation into AI-assisted market research. The journal is about making the process legible, not making uncertain work sound certain.

Latest entry

Launching AUR Research Lab: Can AI Discover Market Edge Without Fooling Itself?

AUR is now public with a deliberately difficult question: can a swarm of AI agents discover a real, measurable market edge without fooling itself first? This opening essay explains why the question needs a process built around frozen hypotheses, documented failure, auditability, and restraint.

Read the launch article