Agentic AI Workflows with Embabel

We have all seen the “Hello, World” of Spring AI: sending a prompt and getting a response. But as we move toward production, the real
challenge is not the LLM call; it is the workflow. How do you ensure an
agent does not loop infinitely? How do you coordinate multiple tools
without a mess of “if-else” blocks? And how do we keep our Java-centric
domain models at the heart of the AI’s reasoning?

Enter Embabel, a new JVM-based framework from Rod Johnson (creator of
Spring) designed to bring discipline to agentic AI. Unlike Python-
centric alternatives, Embabel is built on the philosophy of strong typing, OODA loops (Observe, Orient, Decide, Act), and Goal-Oriented
Action Planning (GOAP).

In this session, we will go beyond basic RAG and explore how to build
“digital workers” that can actually plan. You will learn:

• How to turn your existing Spring Beans into AI Actions.
• The shift from imperative coding to Goal-Oriented orchestration.
• How Embabel uses DICE (Domain-Integrated Context Engineering) to give agents true domain knowledge.
• Why the JVM is actually the best place to run mission-critical AI agents.

Join us for a code-heavy look at the future of Java backend
development. We are moving to a world where our systems do not just
respond to requests, but actively work to achieve goals.