Last updated: April 5, 2026 · Prompting & Usage · by Daniel Ashford

What is Prompt Engineering?

QUICK ANSWER

The skill of crafting effective prompts to get the best results from an LLM.

Definition

Prompt engineering is the practice of designing, testing, and refining prompts to optimize the quality, accuracy, and relevance of language model outputs.

How It Works

Key techniques: being specific and explicit, providing context and constraints, using structured output formats, employing chain-of-thought reasoning, providing few-shot examples, specifying what NOT to do, and iterating based on failure modes. Advanced techniques include prompt chaining and self-consistency.

Example

Poor prompt: "Write something about dogs." Good prompt: "Write a 200-word blog post about the health benefits of daily dog walking for seniors. Warm tone. Include 3 health statistics. End with a call to action."

Related Terms

Prompt
The text input you send to an LLM to get a response.
System Prompt
Persistent instructions that define how the model should behave.
Chain-of-Thought (CoT)
A prompting technique that asks the model to show its reasoning step by step.
Few-Shot Prompting
Providing examples of desired input-output pairs in the prompt.
Temperature
A setting that controls how creative or deterministic responses are.

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Daniel Ashford
Founder & Lead Evaluator · 200+ models evaluated