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eval-frameworks

Build evaluation frameworks for LLM systems — harness design, graders, datasets, regression tracking, and human-in-the-loop eval. Use when you need systematic measurement of model or agent quality.

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# Eval Frameworks

If you can't measure it, you can't improve it — and you'll ship regressions you never notice. An 
eval framework is the harness, datasets, graders, and processes that turn "does it work?" from a 
feeling into a number tracked over time.

## Overview

Components: a task dataset (representative, versioned), a runner (executes the system on tasks, 
reproducibly), graders (deterministic checks, rubric judges, humans), metrics (aggregated, sliced 
by category), and tracking (scores over time, per change). The framework's value compounds: every 
eval run makes the next decision easier and the next regression harder to ship.

## When to use