Prompt engineering
How to phrase a task so the model gets it the first time. Templates, techniques and breakdowns.
What is prompt chaining — why a chain of simple prompts beats one giant one
Give a model one prompt with five tasks and it does half. Prompt chaining splits the work into steps — each doing exactly one thing. Here's how it works.
What is an AI jailbreak — and how it differs from prompt injection
A jailbreak is talking a model into breaking its own rules. Don't confuse it with prompt injection. Here's what an AI jailbreak is and why it's so hard to close.
What is chain of thought — why 'think step by step' makes AI smarter
One phrase in the prompt — 'reason step by step' — and the model solves harder tasks correctly. Here's what chain of thought is and how to use it today.
Why AI gives different answers to the same question — 3 causes and how to tame it
You ask one question and get a new answer each time. Why AI gives different answers: randomness, context, model version. We break it down symptom → cause → fix.
What is context engineering — and why it beats the prompt
A prompt is how you phrase one line. Context engineering is what the model sees as a whole when it answers. The second matters more. Here's why.
How to write a system prompt for your bot — step by step
A system prompt isn't a polite intro — it's your bot's constitution, re-read before every message. Build a working one in five steps.
What is structured output — how to make an AI return JSON
AI usually answers in chatty text, and your code chokes on it. Structured output forces the model to hand back strict JSON — no surprises.
What is few-shot prompting — how to 'tune' a model right inside your request
Few-shot prompting means showing the model 2-3 examples right in your request. No fine-tuning, no code — it picks up the format and style on the spot.
What are AI guardrails — and why a prompt isn't security
Guardrails are checks around the model, not a 'don't do that' line in the prompt. Here's why a wall holds where a request gets talked around so easily.
Why my prompt doesn't work — 3 causes and how to fix each one
A prompt fails almost always for three reasons: too vague, overloaded, or the important bit buried in the middle. We go symptom → cause → fix.
Why the model ignores my instructions — 3 reasons and how to fix it
You ask for one thing and the model acts like it never read it. Usually it's not the model: your instruction drowned in the chat, contradicts itself, or hides in the middle.
7 prompt tricks that actually work (not 'act as an expert')
Most 'prompt secrets' are junk. Here are 7 tricks that truly move the needle: role, example, output format, breaking tasks down, and letting it say 'I don't know'.
What is prompt injection — and why a single email can 'command' your AI
Prompt injection is when text the model is merely reading gets executed as a command. Here's why it happens and how to defend against it.
What is a system prompt — the invisible instruction that sets the AI's character
ChatGPT's personality isn't baked into the model — it's text the AI reads before your message. Here's what a system prompt is and how it steers answers.
How to write a good prompt — 5 steps that turn a request into a spec
A good prompt isn't a polite request — it's a brief. Five steps with a real example: role, context, example, format, and one round of feedback.
Why models “hallucinate” less when you give examples
A fresh paper explains the few-shot/accuracy link in plain words — and what it means for your prompts.
A prompt template that saves an hour on every feature
Breaking down the “context → example → constraints” structure on real cases — the skeleton that makes agents predictable.
Prompt Engineering: How to Talk to AI and Get What You Actually Want
Prompts aren't magic — they're a skill. Learn concrete techniques that turn vague AI responses into precise results.