UseAI glossary
Prompt
The text you give the AI: your question, your instructions, your context. The quality of the prompt massively changes the quality of the response.
In other words
The brief you give to a brilliant intern: the more precise it is, the better the result.
Alyriaz articles that mention it
- Why doesn't the same AI respond differently depending on the app?
The same model produces very different responses depending on the application using it. We explain the five factors behind this gap, and why it's useful to know.
- What is a "system prompt"? The invisible instructions that shape every response
Every AI assistant receives, before your message, an invisible set of instructions that defines its role and limits. We explain what a system prompt is, what it contains, and why it accounts for many surprising behaviours.
- What is "prompt caching"? The setting that could halve your AI bill
Prompt caching lets you avoid paying full price for the same context sent with every request. We explain the mechanism, the real savings, the pitfalls of cache lifetime, and why it's the first lever to pull before September's price hikes.
- FLUX 3 vs Seedance 2.5, Gemini Omni and Kling 3: where does the newcomer really stand?
On 23 July 2026, Black Forest Labs launched FLUX 3, capable of generating twenty seconds of video with synchronised audio from a single prompt. It is being compared to Seedance 2.5, Gemini Omni Flash, Kling 3.0, Veo 3.1 and Runway Gen-4.5, and we explain why no model wins across the board.
- What is "prompt engineering"? The art of talking to AIs properly, and why it changes everything
Prompt engineering is the art of phrasing a request to get the best out of an AI. We explain why the same AI can deliver a mediocre or excellent result depending on the question, and we share the practical principles for talking to models effectively, without being technical.
- Agentjacking: the flaw that turns your code assistant against you
An attack dubbed Agentjacking, disclosed in June 2026, traps AI coding agents by injecting fake instructions into error reports. 85% success rate, 2,388 organisations affected. We explain how it works and how to protect against it.