# Evaluate and improve: Get more from the AI you already pay for.

We measure your AI on your real work, find what's failing and what it really costs, then fix it, with the numbers to show it.

## Right for you if

- Your AI works sometimes, and you can't tell when.
- You're choosing between models or vendors.
- Costs or review time are higher than expected.

## What you get

- **A test set from your work**: Real examples, including the hard cases, with a clear definition of a good result.
- **Side-by-side comparison**: Models, prompts, tools, and workflow designs compared on quality, cost, speed, and failures, including review time.
- **A recommendation**: The best option for your constraints, with its limits stated plainly.
- **Improvements** (optional): Changes made and re-tested on the same tasks, with checks that nothing else got worse.

## How it works

1. **Define a good result**: Agree on what an acceptable answer or outcome looks like.
2. **Baseline**: Measure the current system on your real tasks.
3. **Compare**: Test the alternatives on the same set.
4. **Improve and re-test**: Make changes and confirm they hold up.

## Why it works

- **Real costs**: We count model costs, tools, and the time people spend checking answers.
- **Fair comparisons**: Every option is tested on the same set of your real tasks.
- **Straight answers**: If a simpler fix or a person in the loop works better, we'll say so.

## Questions

**Can you evaluate a vendor's product?**

Yes, on your tasks, alongside the alternatives.

**Do you need access to our production system?**

Usually not. We work from examples and a test copy unless you decide otherwise.

**What happens after the report?**

You can make the changes yourself, ask us to make them, or set up ongoing checks.

## Next step

[Start a conversation about evaluate and improve](https://dag-ai.com/inquiry?interest=improve)