AI Nutrition Planner

Three independently runnable Java/Spring samples implement the same meal-planning use case with LangChain4j, Spring AI, and Embabel. The comparison is about their programming models and the features actually exercised here, not a ranking of model quality or a performance benchmark.

Browser conference talks provide four standalone 45-minute tracks: comparison, LangChain4j, Spring AI and Embabel. Open the self-contained presentations/index.html locally; slides, speaker notes and synthetic demos work offline.

The browser talks and historical presentation slides are retained unchanged from earlier work. The code and comparison tables below reflect November 2026: the validated planner remains the baseline, with separate, runnable opt-in pattern labs.

Versions and implementation entry points

Dependencies and APIs were checked against published artifacts and pinned tags on…