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

# Introduction

> Empower your team with AI-driven data tasks and business intelligence

## Core Concepts

PromptLoop empowers your team with cutting-edge AI tools to automate and enhance your data tasks. Create tasks that accomplish your work, including research, web scraping, text analysis, and building valuable company datasets.
Our API allows you to run AI tasks and integrate this data into your application.

<CardGroup cols={2}>
  <Card title="Tasks" icon="list-check" href="https://promptloop.com/account/custom">
    Create actions for our systems to accomplish, with inputs and outputs
  </Card>

  <Card title="Datasets" icon="database" href="https://promptloop.com/account/datasets">
    Manage and process large amounts of data with AI-powered tasks. API results
    are also saved here.
  </Card>

  <Card title="Credits and Packages" icon="plug" href="https://promptloop.com/demo">
    Learn more about our plans and API packages for companies
  </Card>

  <Card title="Get Started" icon="play" href="#steps-to-get-started">
    Learn how to create and run your first task
  </Card>
</CardGroup>

## Steps to Get Started

Before diving into the API, follow these steps to set up and familiarize yourself with the PromptLoop platform:

<Steps>
  <Step title="Define your goal and create a task">
    Start by clearly defining the objective you want to achieve with AI processing. Then, use PromptLoop's task creation interface to set up a task that aligns with your goal. This could involve selecting from pre-built templates or creating a custom task using our editor.
    You can create a task in your [dashboard](https://www.promptloop.com/account/custom).
  </Step>

  <Step title="Test and edit your task">
    Once your task is created, use the testing interface to run it on sample data.
    This allows you to verify that the task produces the desired output. If
    needed, refine your task by adjusting parameters, prompts, or logic to improve
    accuracy and relevance of results.
  </Step>

  <Step title="Run a dataset on your task">
    After you're satisfied with your task's performance on test data, prepare your
    full dataset for processing. Use the PromptLoop interface to upload your
    dataset and initiate the processing job. This step is where you'll transition
    to using the Batch API for larger scale operations.
  </Step>

  <Step title="Review, filter, search, and export results">
    Once processing is complete, examine the results using PromptLoop's built-in tools. You can filter and search through the output to find specific information. Finally, export the processed data in your preferred format for further use or analysis in other systems.
  </Step>
</Steps>

After completing these steps, you'll be well-prepared to \`leverage the full power of the Batch API for your large-scale data processing needs.

For a detailed guide on each step, visit our [Getting Started](/get-started/quickstart) page.

<Card title="Book a Demo" icon="calendar" href="https://promptloop.com/demo">
  Learn more about how PromptLoop can support your specific business needs
</Card>