AI Agents will only be successful when they get access to the right context and tools. 

In a custom geospatial application, that means being able to fully control the map in order to provide amazing map-centric user experiences that you’ll be proud to launch. Elegant to build. Easy to maintain. Built to scale.

Join us for a technical deep dive into how to develop, deploy, and scale AI Agents that can control CARTO + deck.gl map applications. These agents will use the CARTO Developer Tools, and the AI models you already trust to control the map, produce powerful geospatial analytics, and drive faster time to value for your end users.

What you'll learn:

• Setting up a geospatial application with CARTO + deck.gl: Review of the basic components that make developers deliver scalable geospatial custom experiences

• Creating a map-aware AI Agent: Learn how to add an AI Agent that can go from chat to controlling the map, adding layers, changing styles, etc.

• Supercharging your AI Agent with Workflow MCP tools: Turn your geospatial expertise into callable MCP Tools using drag and drop CARTO Workflows, powering both on-demand and asynchronous responses to complex geospatial user questions.

• • Scalable, secure, bring-your-own-model framework with CARTO for Developers: Review how this custom AI Agent can be integrated with your own AI model provider for full control and security, and discover how CARTO for Developers introduces minimal dependencies, so that you can build safely, freely, and quickly around it, with total visibility and control.
  
  
• • End-to-End Demo: Watch us enable AI capabilities, integrate with your existing stack, prompt engineer an agent, and deploy it inside a custom spatial web application.
  
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• Walk away with the technical foundation to use AI Agents in your CARTO + deck.gl web applications that can control your map, and build memorable experiences that keep users coming back.

  
  
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  👉 Register now!