When building AI features with Spring AI, it is tempting to focus on prompts and model calls. That works for demos, but it quickly breaks down in real applications. You need to…
Whisky barrels With Java entering the AI domain, I wanted to experiment with an evaluation framework for Agentic applications. I found Dokimos; it looked good, and I decided to…
Guardrails to safe the day We’re building more and more AI agents that process real company data. That data often includes PII — email addresses, phone numbers, dates of birth, and…
I did not jump on the skill wagon until recently. I think it is an interesting new way to teach your agent new ‘ skills ’. You wonder where the name comes from. If you are new to…
In this blog, I experiment with Embabel Domain Injected Context Engineering (DICE). Dice can be used to manage extracted user preferences and use them to enrich your LLM context. I…
Before you think that AI Agents are all about chat, that is not my standpoint. Agents can be integrated into solutions like business processes, moderation, report generation, and…
For me, 2024 was the year of RAG, 2025 was the year of Agents. 2026 will be the year of Agentic RAG. This blog post explains why Agentic RAG differs from the 2024 version of RAG…
My year in review It is that moment of the year when we reflect on the past year. You get a few emails about what you did in the past year. I am used to having an email from…
