PromptScoutWhat is Prompt Engineering?
Prompt Engineering is the practice of designing prompts to reliably produce desired outputs from an AI model. Prompt Engineering includes prompt structure, constraints, examples, and parameter choices.
Quick definition
Prompt Engineering means writing prompts that make an AI system respond in a predictable way.
How Prompt Engineering works
- Prompt Engineering uses clear instructions and constraints to reduce ambiguity.
- Prompt Engineering can include examples to demonstrate the desired format.
- Prompt Engineering interacts with system prompt and user prompt roles.
- Prompt Engineering can adjust settings such as temperature (LLM) and token limit to influence output.
Why Prompt Engineering matters
Prompt Engineering matters because prompt wording can change answer quality and consistency.
Prompt Engineering also impacts measurement workflows such as prompt monitoring and AI prompt testing.
Example use cases
- Writing a prompt that requests a definition plus a short list of examples.
- Adding constraints to reduce hallucinations (AI) in a summarization task.
- Creating a prompt template used across a prompt set for consistent monitoring.