Stop Prompting. Start Briefing.

// About the talk

Most people talk to AI like they're Googling - and get mediocre results to match. Your prompt is not a question, it's a work brief. The moment 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 - the three practices that get AI producing real output, not just answers that sound good.

// What your team walks away with

• 01Why bigger prompt ≠ better results - and what actually changes the quality
• 02Context: what the model really needs to know before you ask it anything - and what's noise
• 03Constraints: how to tell the model what not to do before it does it
• 04Chain-of-Thought: why asking a model to think out loud changes the entire output

// Who this talk is for

• 01Every employee in an organization who uses AI and wants to get more out of it
• 02Managers who want their team to extract more value from the tools they're already paying for
• 03Teams who want to learn prompt engineering from real experience - not theory