Production-Ready AI Agents as APIs with Raj Kapadia

What does it take to turn an AI agent into a service that real applications can use?

In this practical webinar, we’ll explore how AI agents work, how they use tools and context to complete tasks, and how to make their capabilities available through APIs.

We’ll walk through the agent development lifecycle—from defining the use case and designing the workflow to implementation, evaluation, deployment, and monitoring. Along the way, we’ll discuss the engineering decisions that affect reliability, security, latency, and cost.

The session includes hands-on exploration and a complete production-ready AI agent demonstration. We’ll follow a request from the API endpoint through the agent’s execution to the final response, connecting the concepts to a working application.

What you’ll learn and experience

• Understand how an agent works: Explore the roles of the model, instructions, tools, context, and execution loop.
• Interact with an agent through an API: Send requests, inspect responses, and follow what happens during execution.
• Understand the development lifecycle: Connect use-case definition, design, implementation, evaluation, deployment, and ongoing improvement.
• Explore API design for agents: Understand request validation, structured responses, authentication, and error handling.
• Identify production requirements: Learn where guardrails, timeouts, retries, logging, monitoring, and cost controls fit.
• See a complete working system: Follow an end-to-end demonstration of a production-ready AI agent served through an API.

Who should attend

Developers, AI engineers, and technical builders who want to understand agent development and integrate AI agents into applications.