Practitioner-Driven AI Engineering
Agent platforms, eval-driven development, and internal AI tools took center stage. The conversation shifted from 'should we use AI' to 'how do we make AI systems reliable enough to deploy.'















Drinks, appetizers, and live demos of production AI systems in the expo hall.











Full-day workshop building a production RAG system: chunking strategies, embedding pipelines, retrieval algorithms, and re-ranking.

Half-day hands-on workshop building and deploying a multi-agent system with stateful orchestration.

Half-day workshop: design, implement, and iterate on an evaluation harness for an AI-powered feature.
