# Session 1 — AI-Powered Knowledge & Productivity
Name: ___ Team: ___ Work task: ___ Confidence before/after (0–2): ___ / ___
Four hours, 09:00–13:00. No coding. Use only the fictional packs.
## 09:15 Foundations
Explain GenAI and an LLM in your own words: ___
What does grounding help with, and why must you still verify citations? ___
## 09:35 Notebook practice
Create/reopen a notebook. Import and inspect morning-starter/01–03. Select the current guide, then old notice. Record how registration answers differ and why.
## 10:05 Prompt and verify
Prompt version 1: ___ Follow-up: ___
| Claim | Source/passage | Corrected? |
|---|---|---|
| Registration time and room | | |
| What to bring | | |
| Parking fee (missing) | | |
Save a verified note. Mark each operation independent / prompted / retry needed.
## 10:50 Business exercises
Create a separate Learning Hub Business Brief notebook with business-starter/01–03.
Contract: proposed price versus approved budget cap; identify one exclusion.
Meeting: two actions with owners/deadlines; distinguish a tentative date from a decision.
Research: compare both options and identify evidence needed before selecting one.
## 11:10 Reuse
Generate/review one available output, copy/export it and inspect sharing access. Use a written briefing if output generation is unavailable.
## 11:20 Best practice
Use best-practice-guide.md. Try RACI or a Bloom’s Analyse/Evaluate prompt.
Desired outcome: ___ Short prompt: ___ Framework/verb used: ___ How it helped: ___ Source check: ___
Keep suggestions separate from documented roles or decisions.

## 11:35 Project
Complete project-template.md: three verified findings, action list, one open question and a clearly labelled recommendation. Use one framework within the kit and record a correction after peer review.
## 12:25 Presentation
Four minutes plus one minute feedback per team. Show the question, kit, a citation, correction and business value.
## 12:55 Exit
Answer the four Session 1 questions in learning-checks.md. Next work task: ___