Generic AI assistants give generic answers. They lack the context, terminology, and edge cases that define your domain. But what if you could teach AI to think like an expert in your field?

In this session, we'll explore how to build specialised AI agents that understand your domain deeply, whether you're in finance, design, marketing, engineering, or any other field. You'll learn the patterns for moving from basic prompts to structured agents that actually work: how to encode domain knowledge, define boundaries, handle edge cases, and validate outputs.

We'll cover practical techniques for building agents that don't just sound smart but are genuinely useful. Agents that understand your terminology, follow your standards, and know when to ask for help.

Whether you're a developer building coding assistants, a designer creating review agents, or a manager building decision-support tools, the patterns are the same. Walk away with a framework you can apply to your own domain.