# Test behavior before trust.

> Prepare repeatable evaluation for activation, instruction adherence, tool selection, output structure, policy behavior, compatibility, and cross-harness differences.

Canonical: https://rangoon.ai/product/test-lab/

Status: In active development. Product screenshots are design previews with illustrative data. No general availability is implied.

## Test the right behavior

Planned suites cover whether capabilities activate when needed, stay quiet when they should, follow required steps, and avoid prohibited behavior.

### Tool and output checks

Evaluation can examine declared permissions, selected tools, structured output, and edge cases.

## Compare targets carefully

The same capability can be measured across supported harnesses for adherence, success, policy violations, latency, token use, estimated cost, and errors.

### Differences are data

The goal is to reveal target-specific behavior, not flatten it into a compatibility claim.

## Simulate before activation

Planned simulations explore configuration, skill, connector, model, policy, and rollout changes without activating them.

### Preview only

Test Lab capabilities are in active development.


## More information

- [Documentation index](https://rangoon.ai/llms.txt)
- [AI access and policies](https://rangoon.ai/ai/)
- [Source repository](https://github.com/hypler-dev/rangoon)
