8. Build Your First AI Model with Dify

When building your first model-based application, avoid jumping straight into multi-turn customer support or complex agents. Instead, begin with a small, well-scoped task: one with clear inputs, concise outputs, and easily verifiable results. This approach helps you grasp Dify’s core workflow more intuitively.

A great starting point is classifying customer feedback into one of three predefined labels. It has fixed input format, a finite label set, and unambiguous correctness criteria—making it far more suitable than open-ended text generation for validating whether the system behaves predictably and controllably.

In the previous article, we introduced Dify’s fundamentals: its interface, core features, and how to create a project. Now, we’ll dive deeper into building your first AI model using Dify—through a series of straightforward, actionable steps. Let’s get started!

Choose a Model Type

Dify supports multiple model types—including text generation, image generation, and conversational agents. Before creating your first AI model, clarify the task you want the model to perform. For instance, if your goal is to generate descriptive product copy, select Text Generation as your model type.

When creating your first model application in Dify, begin by defining five key elements:

• User input format
• Desired output format
• Model configuration parameters
• Representative test cases
• Fallback behavior for failure scenarios

Example Selection

• Task: Generate product descriptions
• Model Type: Text generation model

Create a New Model

Once you’ve selected your model type, you’re ready to build the model.

After reading “Create Your First AI Model”, take one minute to reflect:

• Are the core concepts clearly distinguished?
• Can you reproduce each practice step independently?
• Can you restate the key conclusions in your own words?

Step 1: Log in to Dify

Open Dify in your browser and ensure you’re logged into your account. If you don’t yet have an account, sign up quickly and complete login.

Step 2: Create a New Project

1. On the dashboard, click the New Project button.
2. Name your project—for example: “Product Description Generator”.
3. Select the appropriate project type, matching your chosen model category.

Step 3: Add an AI Model

1. After successfully creating the project, click Add Model, then select AI Model.
2. From the options presented, choose your previously selected model type—for example, Text Generation Model.

Configure Input and Output

When setting up your model, explicitly define both the input structure and expected output format.

Input Configuration

Provide sufficient context so the model can produce meaningful, relevant output. For example:

Input Example:
- Product Name: SuperWidget  
- Key Features: Efficient, eco-friendly, easy to use

Output Configuration

Specify the desired style and structure of the generated output. For example:

Output Example:
“Introducing SuperWidget: the newly-designed, efficient, and eco-friendly solution that simplifies your life!”

Train the Model

Once input and output are configured, proceed to train the model. Dify offers a streamlined, no-code training experience.

1. Click the Train Model button.
2. Monitor training progress in real time. You may optionally use built-in sample data to accelerate convergence.
3. Upon completion, Dify automatically updates the model’s status and deploys the trained version.

Important Notes

• High-quality input data significantly improves generation quality—curate carefully.
• Consider iterative training (e.g., refining prompts or adding examples across multiple rounds) to progressively enhance performance.

Test and Refine the Model

After training completes, rigorously test the model—and iterate as needed.

Testing the Model

1. Enter representative input data (e.g., a new product name and features).
2. Click Generate, then review the model’s output.

Refining the Model

If outputs fall short of expectations, return to the model configuration screen to adjust input examples, fine-tune instructions, or augment training data.

By this point, summarize “Create Your First AI Model” into a concise reflection table: first outline the main workflow, then validate it using a small, concrete task.

After finishing “Create Your First AI Model”, try walking through the entire process with one simple example. Then assess which steps you can now execute confidently—without guidance.

Summary

In this tutorial, we walked through the end-to-end process of building your first AI model in Dify: selecting a model type, configuring inputs and outputs, training the model, and testing and refining its behavior. Remember: high-quality inputs and thoughtful training practices are foundational to strong generation performance.

In the next article, we’ll explore how to configure and fine-tune model parameters—unlocking even greater control and precision over your AI’s outputs. Stay tuned for more in-depth Dify tutorials!