​Most people use chat-based AI (like ChatGPT or Claude) to "summarise this paper" or "explain this concept." This lunch & learn session will help you go a step further. ​We'll help you learn how to use AI as a thinking partner to structure multi-step research workflows, handle data analysis, and support your project from start to finish, not just the writing stage. ​We'll cover: ​• Learn about agents and how to move from single prompts to workflows • ​The importance of context windows, traceability and model choice • ​A live look at how to structure a research-grade prompt (role, constraints, format, what to exclude) - applied to experiment design or analysis planning • ​A live demonstration of an AI-assisted workflow, from hypothesis through to analysis approach • ​Free lunch provided! ​This is an interactive session, not a lecture. Bring a real research problem if you have one and be ready to discuss in the Q&A. ​This session is ideal for any student, researcher or professional in life sciences. ​Hosted by ​This session is sponsored by Amytis, a visual AI workspace built for life sciences researchers. You'll hear from the Amytis team, who between them have 4 science degrees, 2 PhDs and no shortage of anecdotes about the good, bad and ugly of using AI in your work.

Description supplied by the event organiser.