wunder beta📘 Keep prompt from meaning magic spell
Prompts condition an instruction-tuned model — they are not magic spells. Structure, examples, and output contracts make product behavior testable.
3
lessons
~15 min
to learn
Adults
level
What you’ll learn
- Conditioning not commandsTreat prompts as conditioning, not spells.Stochastic models need clear jobs and constraints.
- Anatomy and techniquesUse anatomy, examples, and structure.Few-shot and formats are tools with costs.
- Contracts you can testVersion and eval prompts like product code.Golden sets catch silent regressions.
Grounded in trusted sources
- Brown et al. (2020), Language Models are Few-Shot Learners
- Instruction-following / prompt engineering primers
- Chain-of-thought prompting papers (context)
- Structured output / JSON schema product notes
- LLM eval and golden-set practices
- Prompt versioning habits for AI products
Every Wunder lesson is built from real, reputable sources — never invented.
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