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AIagent evaluationStory 03

Cheaper tests make AI changes easier to compare

What changedA new open-source method chooses a small set of coding tasks that can be tested repeatedly within a budget. Its author spent $27.86 across thirteen evaluations and found a configuration that cost less. The score increase was inconclusive, and this narrow test cannot replace a broad evaluation.

Four panels showing repeated-run sampling, correlation ranking and task selection within a dollar budget

The useful part

Why it matters

Small repeatable tests could make it easier to spot whether an AI change helps before paying for a full benchmark.

Keep in mind

Good to know

This is one developer's case study, not a model ranking. The measured score increase was not statistically significant; a small fixed task set can miss other failures.

Evidence

Primary source

Nicholas J. Conn, Conn Castle Studios

Read the complete 18 September 2026 edition