Prompt Engineering 101: Talking to the Machines

Most people prompt AI like they're Googling - and get mediocre results to match. Your prompt is not a question, it's a work brief. Once you understand that difference, every model starts giving you output you can actually rely on. A practical talk on context, constraints, and chain-of-thought - how to communicate with a machine in a way it understands.

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  • 01 Why bigger prompt doesn't equal better results - and what does
  • 02 Context: what the model actually needs to know before you ask it anything
  • 03 Constraints: how to tell the model 'no' before it does something unwanted
  • 04 Chain-of-Thought: why asking a model to think out loud changes everything
  • 01 Every employee in an organization who uses AI in daily work
  • 02 Managers who want their team to get more from the tools they're already paying for
  • 03 Teams who want to learn prompt engineering from experience - not theory

Technology Companies

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Conferences & Community

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Organizations & Institutions

Rafael logoElbit Systems logoIDF logoTechnion logoReichman University logoUniversity of Haifa logo

Want to bring this talk to your team?

30 minutes. No pitch. Just a conversation about what your team needs.