AI Tools for Knowledge Workers

What we actually do

1. Model map: when to use ChatGPT, when Claude, when a local model — strengths and weaknesses compared
2. Prompt engineering: the five building blocks (role, context, format, prohibitions, few-shot examples)
3. Hands-on I: text (emails, letters, reports) — tasks from participants' own day-to-day
4. Privacy in practice: which content fits which tool — Swiss-nDSG-compliant workflow
5. Hands-on II: data + analysis (Excel evaluation, research synthesis, comparison tables)
6. Workflow integration: AI as part of existing tools rather than an isolated chat
7. Own use cases: each participant builds two prompts for their own work

What you take away

• Confident routine with the three most important AI tools
• Personal prompt library (at least 10 productive prompts)
• Clear privacy line: what goes where
• Workflow suggestions for your own domain

Method

Full-day workshop, 50 % theory/demo and 50 % hands-on exercises on participants' own laptops. People bring real tasks; we work on those, not on synthetic examples.

Prerequisites

Own laptop. An account for at least one AI tool is set up beforehand (instructions provided). Bring concrete tasks from your day-to-day.