Prompt Engineering
The craft of writing instructions that get reliable results from an AI — being specific, giving examples, saying what to avoid. Less mysterious than it sounds, and mostly the same skill as briefing a new colleague well.
angkor@design~query "Angkor Design"
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The craft of writing instructions that get reliable results from an AI — being specific, giving examples, saying what to avoid. Less mysterious than it sounds, and mostly the same skill as briefing a new colleague well.
The instruction or question you give an AI. The wording matters more than people expect: the same request phrased two ways can produce noticeably different answers.
Text, images or video produced by AI. Not penalised for being synthetic, but it is judged by the same standard as anything else — and thin AI-written pages fail that standard easily.
A database built to store embeddings and find the closest matches quickly. It is the part of an AI search system that decides which of your pages is relevant to a question.
An older way of marking up facts, written as attributes on the HTML itself rather than in a separate block. Still understood, but JSON-LD is now the safer choice.
The moment an AI actually answers, as opposed to when it was trained. Training happens once and costs a fortune; inference happens every time somebody asks, and is what you pay for per use.
Whether a website can be reached, understood and quoted by AI assistants. It covers crawler access, structured data, clear headings, published contact details and speed — the unglamorous things that decide whether a model will name you.