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43,280 AI events recorded on our own engineering fleet in the last 30 days.

A transparent way to review AI-assisted engineering work.

What goes into the score, what it leaves out and how to use it. Under validation with design partners; not proof of responsible adoption.

Engineering scoreIllustrative example
Overall score76Solid
12-week trajectoryConfidence84%
DimensionYour scorevs. cohort
Effectiveness
82
+12
Craft
71
+6
Efficiency
65
-3
Governed safety
91
+16

The inputs, and how they are weighted.

Four weighted inputs, one composite; the weights are a starting point for calibration with each team, not a validated standard.

Score compositionIllustrative example
40%
Effectiveness

Durable, verified output.

25%
Governed safety

Risk managed in the boundary.

20%
Craft

Deliberate engineering practice.

15%
Efficiency

Right effort, right resources.

Composite score76Solid

Four weighted inputs resolve into one result you can trace back to its inputs.

What it measures, what it leaves out, and what it is for.

For coaching conversations and rollout reviews, not performance management; it reflects only what Tracelet observes on enrolled machines.

We measureWe do not measure
Durable outputRaw volume
VerificationHours online
Disciplined useWeekend activity
Governed safetyHR performance rankings
Use it to guide coaching and rollout decisions, not to rank engineers.
Design partners

Start the conversation. One call to establish fit and how we would work together.

Become a design partner