Context Engineering in Generative AI

Speakers:

Manuele Reani, PhD, Professor, Psychologist, and Coach

Luca Minciullo, PhD, AI scientist and Robotic Engineer

As Generative AI evolves beyond prompts and chatbots, context engineering has become the essential discipline for building reliable, intelligent, and personalized AI systems. This 45-minute seminar explores how professionals and organizations can move from simple prompt design to full context architecture—the art of shaping what an AI knows, remembers, and does.

Participants will discover the five pillars of context engineering:

1. Knowledge Base and Retrieval-Augmented Generation (RAG): How to connect your AI to private or enterprise data securely and effectively.

2. Structured Output and Tool Integration: Designing predictable, machine-readable outputs and connecting AI with tools and APIs.

3. Memory Management: Techniques for handling conversational and long-term memory to maintain consistency and personalization.

4. Pruning and Compression: Strategies to reduce token use while preserving critical context for better performance and efficiency.

5. Self-Hosting: Why and how to host your own AI for data protection, privacy, and independence from external providers.

By the end of the session, you’ll understand how AI systems respond, remember, reason, and adapt to the user and their environment.