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HarnessGrad

A gradient is the signal you need before you can improve anything — measurable, attributable, comparable, and only worth having if it can be trusted.
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The local demo, end to end. 4 tasks, no network, no cost.

01

Scoring is not delegable

A subject that scores itself makes every comparison meaningless.

02

Methods live outside

A method returns candidate harnesses. The platform measures those.

03

Isolation is recorded

Runs made under different rules never share an axis.