BUILD WHAT
YOU CAN
PROVE.
I design AI-assisted engineering systems where claims can be tested, decisions inspected, and failures understood.
A research workflow where the boundary of a claim matters.
Illustrative waveform generated locally from the selected record identifier. Not measurement data.
A demonstration is the beginning of an explanation, not the end.
Model output is input to judgement, not a substitute for it.
Interruptions and uncertainty are normal operating conditions.
THE PROJECT WORKSPACE
Inside the systems.
Behind the claims.
Not a wall of logos. Each project is an engineering question, the system built around it, and the evidence still worth examining.
Copy in this prototype is editorial draft. Project maturity, results and links must be reviewed against current source before publication.
THE PROCESS BEHIND THE PROJECTS
A system should
show its work.
AI can produce an answer quickly. I care about what happens next: how a result is checked, accepted, remembered, or refused.
SELECT A STAGE TO EXAMINE THE WORKFLOW. THIS IS AN ILLUSTRATION, NOT A LIVE EXECUTION TRACE.
Separate the claim from the evidence.
Collect the implementation diff, command output, and observable behaviour before deciding what worked.