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

# Overview

> Understand what AI Modeling means inside AI Squared and how to configure your models for activation.

# AI Modeling

AI Modeling in AI Squared allows you to connect, configure, and prepare your hosted AI/ML models for use inside business applications. This process ensures that AI outputs are both reliable and context-aware—ready for consumption by business users within CRMs, ERPs, and custom interfaces.

<img className="block" src="https://res.cloudinary.com/dspflukeu/image/upload/f_auto,q_auto/v1/DevRel/models" alt="Hero Light" />

## Why AI Modeling Matters

Simply connecting a model isn't enough—each model expects specific inputs and returns outputs in a particular format. AI Modeling provides a no-code interface to:

* Define input and output schemas
* Format and validate requests before they're sent
* Clean and transform responses before embedding
* Map model insights directly into business apps

## Key Benefits

* **Standardization**: Ensure data passed to and from models adheres to consistent formats.
* **Configurability**: Customize model payloads, headers, and transformations without writing code.
* **Reusability**: Use one model across multiple Data Apps with different UI contexts.
* **Feedback-Ready**: Configure outputs to support user feedback mechanisms like thumbs-up/down, scale ratings, and more.

## What You Can Do in This Section

* Connect to an AI/ML model source (like OpenAI, SageMaker, or Vertex AI)
* Define input and output fields
* Add optional pre-processing and post-processing logic
* Test your model’s behavior with sample payloads
* Finalize your model for embedding into business workflows

AI Modeling is the foundation for building **Data Apps**—which surface model results in enterprise applications and enable user feedback.

> Ready to configure your first model? Jump into [Connecting a Model Source](./connect-source) or learn how to [define your input schema](./input-schema).