This guide will walk you through creating your first agent and running it on the Ag.dev platform. You’ll learn the basic workflow, from creating an account to seeing your agent in action.

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1. Create Your Account

First, head over to console.ag.dev to sign up for a new account or log in if you already have one. Once you’re in, you’ll land on the main agents dashboard.

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2. Create Your First Agent

Let’s build your first agent. We’ll use the UI to configure and create it.
1

Start Creating Your Agent

Click the “Create Agent” button on the agents page. This will open the agent configuration drawer.
2

Configure Your Agent

Here, you’ll define what your agent is, what it should do, and what tools it can use.
  • Name: Give your agent a descriptive name, like “Research Assistant”.
  • Goal: This is the most important part. Be specific about what you want your agent to accomplish. For example: 
    Research {{ topic }} and provide a comprehensive summary with key findings, recent developments, and relevant statistics. Include credible sources for all information.
The {{ topic }} placeholder lets you dynamically provide a topic when you run the agent.
  • Input Schema: Define the data your agent will receive using JSON schema. For our research assistant, we need a topic: 
    {
  "type": "object",
  "properties": {
    "topic": {
      "type": "string",
      "description": "The research topic or question to investigate"
    }
  },
  "required": ["topic"]
}
  • Tools: Select the tools your agent needs to achieve its goal. For research, you’ll want to enable Web Search and Browse Website.
For your first agent, you can leave the Advanced Settings like Model Stack and Webhook URL as they are.
3

Create the Agent

Click the “Create Agent” button. You’ll be redirected to the agent’s details page.

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3. Run Your Agent

Now that you have an agent, let’s give it a task to perform.
1

Start a New Run

On the agent details page, click the “New Run” button.
2

Provide Inputs

A form will appear with fields based on the input schema you defined. For our example, you’ll see a “Topic” field. Let’s enter: “Artificial Intelligence in Healthcare”.
3

Execute the Run

Click “Create Run” to start your agent. You’ll be taken to the run details page where you can see it work in real-time.

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4. Monitor the Run in Real-Time

On the run details page, you can watch your agent as it executes the task. The Events tab displays a live timeline of everything the agent does:
  • Run Started: Shows the initial inputs.
  • Reasoning: See the agent’s thought process and plans.
  • Tool Usage: Observe the agent using tools like web search.
  • Run Completed/Failed: See the final status.
The page updates automatically, so you can follow along as your agent thinks, searches the web, and works towards its goal.

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5. Review the Results

Once the run is complete, it’s time to see the outcome. The results page is split into two main sections:

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Result

The Result section contains the final output from your agent. If you configured a “document” result type, you’ll find the text-based summary here. For “json” results, you’ll see the structured data.

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Sources

If your agent used tools for research, the Sources section lists all the websites and references it consulted to generate the result. This is great for verifying information.

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What’s Next?

Congratulations! You’ve successfully built and run your first agent. Now you can start exploring more advanced capabilities.
  • Experiment and Refine: Try different goals, tools, and inputs to see how your agent’s behavior changes. Small tweaks to the goal can have a big impact on the quality of the results.
  • Build Specialized Agents: Create agents for other use cases like data analysis, content creation, or monitoring your own systems by creating custom tools.
  • Integrate and Automate: Use the API to trigger agent runs programmatically and set up webhooks to integrate agent results into your applications and workflows.

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Troubleshooting

If you run into any issues, here are a few common solutions.
Need more help? Join our Discord Community for support or email us at hi@ag.dev.
You’re now ready to build powerful autonomous agents that can handle complex tasks at scale. Happy building!