How to Add an AI Agent to Your Web App—No Code Required

If you're a SaaS vendor or an e-commerce store owner, integrating AI into your product can significantly enhance user experience. Imagine allowing your customers to execute tasks and retrieve data using natural language—all within a simple chat interface, directly inside your app.

The best part? You don’t need any AI expertise or coding skills to get started. This process is entirely no-code: drag, drop, copy, and paste. Let’s walk through how to embed an AI agent into your web app in just a few steps.

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Step 1: Define the Use Case

Let’s say you have a CRM app, and you want to add a chat widget in the bottom right corner that helps users manage tasks, look up deals, and interact with their systems more efficiently. By embedding an AI agent, your users can request information and execute actions seamlessly.

(Of course, you may develop a different application with different user expectations regarding how they would use AI agents. Defining a use case is the first step in your journey to shipping powerful agentic workflows in your web app.)

Next, let’s explore how to build and integrate this AI-powered assistant.

Step 2: Build Your AI Agent in Appmixer

To create the AI agent, we’ll use Appmixer, a no-code AI agent builder that allows you to design automated workflows visually.

Here’s how:

1. Start with the Chat Component
   • This component connects the AI agent to the chat widget inside your CRM app, enabling user interactions.
2. Configure the AI Agent
   • The AI agent acts as the brain of your setup. You’ll define its scope, role, and available tools.
   • Tools function as the agent’s skills—allowing it to perform specific actions like listing deals, creating tasks in ClickUp, or sending SMS follow-ups via Twilio.
   • Any app with an API can be integrated, meaning your AI agent can interact with multiple systems seamlessly.
3. Enable Task Execution
   • The agent reads the descriptions of the tools you’ve configured and executes tasks based on user requests.
   • For example, a user might ask, “Find the biggest deal and send a follow-up SMS to the deal owner.” The AI agent will identify the highest-value deal in the CRM and trigger the appropriate action.

Step 3: Deploy and Integrate the AI Agent

Once your AI agent is configured, it’s time to deploy it:

1. Start the agent within Appmixer’s no-code builder.
2. Copy the generated script from the builder.
3. Embed the script into your web app by pasting it into an HTML element.
   • In our example, we used Bubble to create a simple CRM app and embedded the chat widget in the bottom right corner.‍
4. ‍Deploy the changes and refresh your app to activate the AI-powered chat interface

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Step 4: Test the AI Agent in Action

Now that the AI agent is live, let’s see it in action:

1. Open the chat widget in your app.
2. Type a command, such as:
   “Find the biggest deal and send a follow-up SMS to the deal owner.”
3. The AI agent processes the request, finds the highest-value deal, and triggers the SMS action.
4. If everything is set up correctly, the SMS will be sent, confirming the AI agent’s successful execution.

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Step 5: Customize and Expand Your AI Agent

Your AI agent is now fully functional, but the beauty of a no-code approach is flexibility:

• Easily add or remove tools in the no-code builder.
• Adjust the AI agent’s instructions and behavior to fit your use case.
• Expand its capabilities by integrating it with more apps and services.

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Ready to Build Your AI Agent?

With just a few simple steps, you’ve embedded an AI-powered assistant into your web app—without writing a single line of code. This AI agent can help your users get more work done faster, automate repetitive tasks, and provide instant insights, all within your platform.

What kind of AI agents are you planning to build?

If you have a specific use case in mind and are on the hunt for the best AI agent platform, consider our closed beta program, which takes you from idea to production in as little as four weeks.

We select a handful of companies and dedicate our technical and product teams to tailoring our platform to your unique needs. This includes developing components for your product-specific triggers and actions, customizing embeddable UI widgets to perfectly match your product's style, and deploying at scale to meet your business needs.