| title | Workshop: Instructor Notes for Wrap-up |
|---|---|
| description | Facilitator notes for closing the workshop by synthesizing the AI engineering loop and prompting learners to apply it to their own app. |
Learner guide: 08 Wrap-up
- Keep this as a synthesis, not another feature tour.
- Re-state the loop in operational terms: trace behavior, detect signals, collect examples, run experiments, compare changes.
- Ask learners which one piece they would apply to their own app first.
- Which trace view changed how you would debug an LLM app?
- Which monitor would you create first for your own product?
- What real examples would seed your first dataset?
- Where would the Langfuse skill save implementation time in your codebase?