# Experimentation and Prototyping

*AI Product Management Team*

Functional prototypes and A/B tests that validate before you build

Your AI product team builds functional prototypes — not just clickable mockups, but real working software with a backend, data, and AI-powered features where relevant.,Test the idea with real users before engineering commits a sprint. Get hard signal on whether the feature actually solves the problem.,A/B tests designed, instrumented, and analyzed. Statistical significance checked properly. Lift attributed correctly.

## Benefits

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## How It Works

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## At a Glance

- **Days** From idea to functional prototype
- **Real** Working software, not clickable mockups
- **100%** Stat-sig checks applied to every experiment
- **0** Sprints committed to unvalidated features

## Prototypes Beat Specs Every Time

## FAQ

### How real are the prototypes?

Real enough to test with users: working backend, real data, deployed and shareable via URL. Not production-ready, but production-realistic.

### Can it integrate with our A/B testing platform?

Yes — LaunchDarkly, Optimizely, GrowthBook, in-house — all supported.

### How does it handle statistical significance?

Sample-size calculations done up front. Stopping rules enforced. P-hacking prevented by design.

### Can prototypes graduate to production?

They are designed to be thrown away. Production rebuild starts from the validated spec, not the prototype code.