Lab notebook · AI

The lab , in the open.

Real cases told as model cards : context, eval, metrics. What we would ask of anyone who says "we did AI".

EVAL · 2026-04

RAG over 14,200 technical documents

91% accuracy with 100% citation traceability. Engineer onboarding reduced from 12 to 4 weeks.

91%
Precision
100%
Appointment
EVAL · 2026-03

Vision: welding defects

99.2% recall on critical defects, 2.1% false positives. Line throughput +14%.

99,2%
Recall
+14%
Throughput
NOTE · 2026-03

The inference cost that kills projects

Why the metric everyone forgets sinks AI projects within six months, and how we measure it from day one.

€/1k
From sprint 1
NOTE · 2026-02

"You don't need AI here"

Three cases where the honest answer was a process, a training programme or a better ERP. Selling what is not needed destroys trust.

3
Cases

All articles

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