Most data professionals have tried an AI assistant, got a mediocre answer, and quietly went back to Stack Overflow. The difference between mediocre and magical is the prompt — and prompting for DATA work has its own rules: schemas matter, sample rows matter, constraints matter, and "show your reasoning" beats "give me code".

In this hands-on session I share the prompting method I use daily with GitHub Copilot and Claude across T-SQL, DAX and Python: how to give context without pasting your whole database, how to make the AI ask YOU clarifying questions, how to iterate instead of restarting, and how to spot the confident nonsense. Live demos throughout, including at least one glorious AI failure and how to catch it.

Works with any assistant your company allows.

Key takeaways:
1) A reusable prompt template for SQL, DAX and Python tasks.
2) The context-without-oversharing technique for real schemas.
3) A review checklist for AI-generated code before you trust it.

Level: Beginner/Intermediate (100-200). Duration: 45-60 min, adaptable to 20-30 min. Target audience: analysts, DBAs, BI developers — anyone using or evaluating AI assistants. Can be delivered in English, Spanish or Portuguese. Demo-heavy; tool-agnostic principles.