# Introduction

In addition to our entirely automated prompt optimization method, Farsight provides access to generation and evaluation features, allowing you to customize the development process according to your specific needs.

To discover your optimized prompt, we recommend the following workflow:

1. [**Generate several system**](/sdk/step-by-step-prompt-optimization/prompt-generation.md) prompts using our prompt generation functionality (we recommend starting with 5).
2. Generate outputs using your preferred language model (e.g., Mistral, ChatGPT, Llama).
3. [**Evaluate the results**](/sdk/step-by-step-prompt-optimization/prompt-evaluation.md) using our prompt evaluation function or any of our additional metrics.

Continue with these steps to get started on prompt optimization.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://api.farsight-ai.com/sdk/step-by-step-prompt-optimization/introduction.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.