What is Prompt Engineering?
Prompt engineering is the practice of writing instructions that reliably get the output you want from an AI tool.
Prompt engineering is simply the craft of asking an AI model properly. The same model can produce a generic paragraph or a publish-ready draft depending on how much role, context, format, and constraint you give it. A weak prompt says write a blog intro. A strong prompt says you are a B2B SaaS editor, write a 90-word intro for finance managers comparing invoice tools, no hype words, end with a question. Most of the techniques are unglamorous: give examples, state the audience, specify the output format, ask the model to think step by step for reasoning tasks, and tell it what to avoid. For people comparing AI tools, prompt quality explains a lot of the gap between glowing reviews and disappointing trials — many products are thin wrappers with a good prompt built in. Tools that let you save, template, and share prompts are worth more to a team than tools that force you to retype instructions daily.
Also known as
- prompting
- prompt design
Related tools
- ChatGPT — The most versatile AI assistant for writing, research, and brainstorming.
- Claude — Thoughtful, safety-focused AI assistant with excellent reasoning.
- Jasper — AI copywriter built for marketing teams with brand voice control.
- Copy.ai — Generate high-converting marketing copy in seconds.
- Midjourney — Create breathtaking AI art and visuals from simple text prompts.
Related terms
- Large Language Model (LLM) — An LLM is an AI model trained on huge amounts of text that predicts language well enough to write, summarise, translate, and answer questions.
- Zero-shot vs Few-shot — Zero-shot means asking an AI to do a task with no examples; few-shot means including a handful of examples so it copies the pattern.
- Context Window — The context window is the maximum amount of text, measured in tokens, an AI model can consider at one time.
- Generative AI — Generative AI is any AI that creates new content — text, images, audio, video, or code — rather than only analysing existing data.
Category: AI Concepts