Teach AI models by example. Generates structured Few-Shot (Input -> Output) demonstration templates that guide LLMs to consistently follow your desired schema, formatting, and edge-case classification rules without errors.
Add 2-3 input/output examples to guide the AI to return perfectly formatted answers every time.
Structures pattern-matching demonstrations before presenting the new query to solve.
2 to 4 diverse examples are usually sufficient for standard formatting and classification tasks.