KanDDDinsky 2025

Here are the links and references for the attendees of my talk at KanDDDinsky 2025: When DDD Met AI: Practical Stories from Enterprise Trenches

Slides: PDF 18MB

First of all, there is a lot of structured material on Schema-Guided Reasoning:

• Schema-Guided Reasoning (SGR)
• SGR Patterns
• SGR Examples
• SGR Demo
• SGR Adaptive Planning

Demo of building reasoning SGR agent in 160 lines of Python code is particularly interesting, because it tends to "clicks" for some engineers.

A team of enthusiasts took that SGR Demo and built an Open Source chat with deep research capabilities and tool use. It got so popular, that even banks started studying and taking it apart. Here is the Github repository.

If you want to dive deeper into the core AI research and all insights from the past few years of community research, a lot of that is available in the public materials:

• Enterprise RAG Challenge (make sure to scroll to the second leaderboard and expand rows of individual teams - there are mini-reports for each one)
• LLM Benchmark Reports that also include product and architectural insights: latest report, full archive
• My personal low-frequency newsletter

If you want to learn more about patterns and practices of building LLM-driven products in different industries - check out Courses.

If you are an enterprise or large business that needs expertise get a project done - go to TIMETOACT Austria (I'm head of ML and Innovation there). Especially, if you are interested in software modernisation projects and enterprise AI projects.