Most prompts don't need examples. This explains what few-shot prompting does, why examples help models, and when to actually reach for them.

"You're an expert X." "Act as a Y" Role prompting is one of the most widely repeated tips in AI circles. The underlying idea is that if you assign the model a job title or area of expertise, it will respond more like a person who holds that role, making it more relevant, more precise, more expert-sounding. The research on whether that actually holds up is more nuanced than the advice suggests. And the nuance is important if you want to try this out yourself. What is role prom

AI models struggle to recall information in the middle of long documents. It's a positional bias called the Lost in the Middle Effect. Here's how to fix it.

Tokens are how AI measures text. Context windows are working memory. When they fill, earlier content disappears. Here's what that means and how to manage it.

Prompting is a skill. This covers what an effective prompt includes — context, task, constraints, format, and examples — plus five techniques to get started.

"Think step by step" used to reliably improve AI outputs. Modern reasoning models handle this internally. Here's what that means for how you should prompt now.

Learn to build AI-powered apps using LLM APIs. This beginner’s guide covers prompt engineering, function calling, and creating custom AI tools.

Six advanced prompting techniques that improve ChatGPT outputs: roleplay, decomposition, chain-of-thought, tree-of-thought, shared context, and agreeableness.