Frame
Define the user or system question, the evidence boundary, privacy constraints and what a useful answer would mean.
Research method
Useful claims need clear boundaries.
ARMIE treats AI research as a chain from a precise question to inspectable evidence. Technology matters, but only alongside data conditions, privacy, evaluation and operational limits.
A practical discipline
Frame what is being tested before deciding what is being built.
We distinguish evidence from assertion, prototype from product and controlled evaluation from real-world performance.
Build
Create a modular, bounded artefact that can make its inputs, choices and outputs easier to inspect.
Evaluate
Use versioned evaluation and appropriate controls; record where conclusions hold and where they do not.
Audit
Preserve evidence, traces and assumptions so that the work can be examined and improved rather than merely demonstrated.
Extend carefully
Move to the next question only when the current result has earned it; do not turn a prototype into a broad claim.
Translate selectively
Where a finding is useful, Studio can explore a bounded implementation with practical measurement and governance.
See it in context