> ## Documentation Index
> Fetch the complete documentation index at: https://futureagi.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Overview

Prototype your LLM application to find the best fit for your use case before deploying in production.

## What is Prototyping?

The Prototype feature allows teams to test and evaluate different LLM configurations, prompts, and parameters in a controlled environment before deploying to production. This crucial step helps identify potential issues early, optimize performance, and ensure your LLM application meets your specific requirements.

<Note>
  To get started with Prototype, please follow the [Quickstart](/future-agi/get-started/prototype/quickstart) guide.
</Note>

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## Key Benefits

* **Risk Mitigation**: Identify potential hallucinations, biases, or inaccuracies before they impact users
* **Performance Optimization**: Compare different models, prompt strategies, and parameters to find the optimal configuration
* **Cost Efficiency**: Test and refine your applications to optimize costs
* **Evaluations**: Leverage Future AGI's evaluations to assess different aspects of your model performance [Learn more →](/future-agi/get-started/evaluation/running-your-first-eval)
* **Data-Driven Selection**: Choose the winning prototype version based on key parameters such as evaluation scores, cost efficiency, latency etc.
* **Seamless Production Transition**: Move from prototype to production with minimal friction while maintaining full observability