AI, Refined: Moving Beyond Prompts with Context Engineering

As large language models become more deeply integrated into products, workflows, and decision-making, it’s clear that effective AI doesn’t start and end with a well-crafted prompt. Instead, the most powerful applications rely on a thoughtfully engineered context—one that includes the right tools, data, history, and memory to guide the AI toward useful, reliable outcomes.

In this session, Marc Hamel will break down the shift from prompt engineering to context engineering, offering a practical framework to understand when each applies and how they work together. He’ll share actionable techniques, walk through an end-to-end example, and showcase tools that support more dynamic, context-aware AI systems. If you’re building or scaling AI capabilities, this session will equip you to drive smarter, more consistent results.

Attendees will gain insights around:

• AI Effectiveness through Better Design – How context engineering improves accuracy, adaptability, and relevance in LLM outputs.
• Prompting Tactics vs. System Thinking – Understanding when prompt engineering is enough—and when it limits your AI’s potential.
• Tools that Extend AI Context – Solutions that inject external knowledge, memory, and functionality into AI workflows.
• End-to-End Example – A detailed walkthrough of how prompt and context engineering come together in a real-world use case.

Don’t miss this opportunity to deepen your understanding of how to architect AI systems that are not just responsive—but truly intelligent.