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TESTING THE HARNESS ITSELF
Part 6 of 12
EVALUATION-DRIVEN ITERATION
Iteration means improving something through repeated cycles.
Evaluation-driven iteration means improving the system guided by measured results rather than by hunches.
The cycle looks like this.
Step one: measure the current system with your eval suite to establish a baseline.
Step two: look at the failures and identify the most common or most serious pattern.
Step three: form a hypothesis, which is a specific guess about the cause and a possible fix, such as "the agent ignores the date field because the context builder places it too far from the question."
Step four: make one focused change.
Step five: re-run the eval suite and compare with the baseline.
Step six: keep the change if it helped without hurting other areas, and discard or rethink it if not.
Step seven: repeat.
This disciplined cycle is similar to the scientific method.
Its great advantage is that it protects you from fooling yourself.
Without measurement, a change that feels like an improvement may secretly make things worse.
Make one change at a time where possible, because if you change five things and the score moves, you will not know which change mattered.
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