What is Prompt Engineering?
The practice of crafting effective instructions to get better results from AI models.
Definition
Prompt engineering is the art and science of writing instructions (prompts) that produce the best possible output from AI models. It involves techniques like role assignment, few-shot examples, chain-of-thought reasoning, and structured formatting to guide AI behavior. Good prompt engineering can dramatically improve output quality without changing the underlying model.
💡 Example
Instead of "Write about dogs," a prompt-engineered version might be: "You are a veterinary expert. Write a 500-word guide about nutrition for senior dogs, including specific food recommendations and portion sizes. Use H2 headings and bullet points."
Related concepts
A type of AI trained on massive text datasets to understand and generate human language.
The basic unit of text that AI models process — roughly 4 characters or 0.75 words.
Providing a few examples in your prompt to teach the AI the pattern you want.
A prompting technique that asks AI to show its reasoning step by step.
Explore AI tools
Find tools that use prompt engineering in practice.
What is Prompt Engineering?
Prompt engineering is the art and science of writing instructions (prompts) that produce the best possible output from AI models. It involves techniques like role assignment, few-shot examples, chain-of-thought reasoning, and structured formatting to guide AI behavior. Good prompt engineering can dramatically improve output quality without changing the underlying model.
How does Prompt Engineering work in practice?
Instead of "Write about dogs," a prompt-engineered version might be: "You are a veterinary expert. Write a 500-word guide about nutrition for senior dogs, including specific food recommendations and portion sizes. Use H2 headings and bullet points."