Content of the AI Hackathon
Module 1 · Day 1: Concept Day
Principle of the day: Concept before build.
- Kickoff & Privacy Mindset – Goals, buddy rule, and a clear approach to data from the very first minute.
- Terms & Foundations – prompt, skill, plugin, context, token, memory, quality gates, harness, MCP, reasoning, API – each explained, applied, and reflected upon.
- Ideation & Hypotheses – “What If” and “How Might We”: First, envision the future manually; then formulate hypotheses and prioritize them in buddy pairs.
- Paper Plan – Document the problem, hypothesis, building blocks, and effort required – the foundation for the Build Day.
Module 2 · Day 2: Build Day
The day’s principle: build, test, iterate.
- Build Sprints – The Paper Plan evolves into a first version, which is refined using real data.
- Peer Test – Exchange solutions, let others try them out, and gather feedback.
- Polish & Demo – Address findings and prepare a short demo (4 minutes) – followed by Q&A and reflection.
Module 3 · The Learning Loop
Learning takes place at a steady pace, always using your own example.
- Explained – short mini-lecture per concept (3–5 minutes).
- Applied – tried out immediately using your own example.
- Reflection – brief review in pairs: What’s working, and what isn’t?
Download the detailed description of the AI hackathon here