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AI Glossary

Prompt Engineering

Prompt engineering is the practice of designing the instructions, context and examples you give an AI model to get reliable, accurate results. It covers wording, structure, role-setting and few-shot examples — turning a general model into a dependable tool for a specific task.

Last updated: June 2026

Good prompts are the cheapest, fastest lever for improving AI quality — often closing the gap before you ever need RAG or fine-tuning. The difference between a vague request and a well-structured prompt can be the difference between an unusable answer and a production-ready one.

We treat prompts as versioned, tested assets — measuring them against real examples so your AI behaves consistently as it scales.

Related terms
Large Language Model (LLM)Fine-tuningRetrieval-Augmented Generation (RAG)
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