What is Prompt Engineering?
The practice of crafting and optimizing input instructions to elicit better, more accurate, or more useful responses from AI models.
Full Definition
Prompt engineering is the discipline of designing, structuring, and iterating on the text inputs (prompts) given to language models in order to reliably achieve desired outputs. Techniques range from basic formatting (numbering steps, adding examples) to advanced strategies such as chain-of-thought prompting (asking the model to 'think step by step'), few-shot prompting (providing worked examples in the context window), role prompting (instructing the model to act as a specific persona), and self-consistency (sampling multiple responses and taking a majority vote). As models become more capable, prompt engineering has evolved toward system prompt design, structured output specifications, and agentic tool-use patterns. It remains a practical skill with outsized impact on the quality of AI-powered applications.
Tools that use Prompt Engineering
ChatGPT
The most widely used AI assistant with 900M+ weekly users
Claude
Best-in-class reasoning with 1M token context window
Gemini
NewGoogle's AI assistant with deep Workspace integration and 1M token context
GitHub Copilot
AI coding assistant with 4.7M+ paying subscribers
Jasper
AI marketing content platform with brand voice control