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Why Evaluation Frameworks Fail

Most teams treat evaluation as a checkbox. Here's why it should be your product.

# Why Evaluation Frameworks Fail

Most teams treat evaluation as a checkbox—something to add after the AI is "working." This is backwards.

## The Problem

When evaluation is an afterthought, you get:

- **Metrics that don't matter**: Tracking what's easy to measure, not what matters
- **Tests that don't catch issues**: Surface-level checks that miss real problems
- **Frameworks that don't scale**: Manual processes that break under load

## The Solution

Evaluation should be your product. Not a side project, not a nice-to-have—your actual product.

This means:

1. **Design for testability from day one**: If you can't test it, you can't trust it
2. **Make evaluation continuous**: Not a phase, but a practice
3. **Treat eval data as product data**: It tells you what's working and what's not

## The Shift

Stop asking "How do we test this?" Start asking "How do we make this testable?"

The difference is everything.

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