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Measuring agent workflows on public benchmarks
Simm.is·October 11, 2026·1 min read
AI Summary
Dvergr is a measurement system that evaluates agent workflows by tracking model selection, prompting strategies, and execution steps across standardized intervals while monitoring cost and time metrics. Testing on SpreadsheetBench and BIRD benchmarks revealed that workflows can be systematically improved by measuring and comparing performance variants of the same agent configuration.
From the source
Which model, which prompt, which steps: how Dvergr measures agent workflows on the same cases with intervals, cost and time, what it found on SpreadsheetBench and BIRD, and how a workflow can be improved by measuring its own variants.
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