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

# Prompt Optimizer

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  <img src="https://mintcdn.com/devrel/9PJM7UkuhGCoeQys/images/prompt.png?fit=max&auto=format&n=9PJM7UkuhGCoeQys&q=85&s=d9265fdcaa749fb61f9854dfebb39aaf" alt="Prompt" width="2558" height="1305" data-path="images/prompt.png" />
</Frame>

The Prompt Optimizer template automatically improves your prompts by generating variations, testing them against evaluation criteria, scoring responses, and ranking results - all handled by a single optimization engine.

This template helps you find the best-performing prompt for any task without manual trial and error.

## Prerequisites

* Basic familiarity with LLMC components

## Create the Prompt Optimizer Flow

### 1. Enter Your Task

Start with the LLMC Prompt Optimizer component (left side of the workspace).

Steps:

* Enter a clear task or base prompt in the User Task Input field.
* Select the model you want your prompt to be optimized by using the Chosen Model.

Example: "Summarize news articles concisely for a mobile app."

### 2. Run the Optimization

Click Run on the Results node (right side) to trigger the full optimization pipeline.

What happens behind the scenes:

* Generates structured prompt variations from your task.
* Creates test cases to evaluate prompts fairly and consistently.
* Builds scoring criteria like clarity, relevance, tone, and completeness.
* Generates answers from each prompt variation using the selected model.
* Scores and ranks each output against the evaluation criteria.

### 3. Review Results

The Results component aggregates scores and displays a ranked leaderboard.

* View the Leaderboard to compare prompt performance across all models selected.
* Use Select Prompt/Model to choose the top-performing prompt for use.

## Modify or Extend

* Change the task description to optimize prompts for different use cases.
* Select different models to compare how prompts perform across providers.
* Use the selected prompt in LLMC Executor within other templates like Vector Store RAG or Targeted FAQ.

## Configuration Checklist

| Component             | Configuration                              |
| :-------------------- | :----------------------------------------- |
| LLMC Prompt Optimizer | Enter task, select model to optimize with  |
| Results               | View leaderboard, select best prompt/model |

## Example

**Input**: "Generate concise product descriptions for an e-commerce website."

**Output**: A ranked leaderboard of optimized prompt variations with accuracy, speed, and quality scores.

## Built With

* LLMC Framework
* LLMC Prompt Optimizer Engine
* Results Leaderboard

Automatically find the best prompt for any task with evaluation-driven optimization and ranked comparison.