What is prompt engineering?

It's the craft of structuring your instructions so AI gives you reliable, high-quality output — using techniques like role assignment, examples (few-shot), step-by-step reasoning (chain-of-thought), and strict output formatting. These prompts teach each technique and hand you reusable templates.

Do these techniques work across ChatGPT, Claude, and Gemini?

Yes. The principles — clear roles, examples, reasoning steps, format control — work across all major models. A few details differ per model, and the prompts note where that matters.

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Advanced Prompt Engineering

Meta-prompting, chain-of-thought, few-shot, role prompting, prompt chaining, output control, and cutting hallucinations. Get better output from any model.

8 prompts

Prompts in this collection

Showing 8 prompts

ChatGPT

Few-Shot Prompting: Teach by Example

Get consistent output by showing the AI examples instead of describing what you want.

Prompting

ChatGPT

Improve My Prompt (Meta-Prompt)

Paste a prompt that's not working. Get a sharper version and the reasons why.

Prompting

ChatGPT

Chain-of-Thought: Make the AI Reason Step by Step

For problems where the AI rushes to a wrong answer — force it to think first.

Prompting

ChatGPT

Prompt Chaining: Break a Big Task Into Steps

Big tasks fail in one prompt. Chain them so each step builds on the last.

Prompting

ChatGPT

Build a Reusable Prompt Template

Stop rewriting the same prompt. Turn your best one into a fill-in-the-blanks template.

Prompting

ChatGPT

Role & Persona Prompting

Assigning the right role changes everything. Here's how to do it well.

Prompting

ChatGPT

Stop the AI From Making Things Up

Cut hallucinations with prompt structure that rewards 'I don't know' over guessing.

Prompting

ChatGPT

Control the Output Format Exactly

Get the AI to return exactly the format you need — table, JSON, bullets, whatever.

Prompting

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Why AI Writing Sounds Like AI

You rewrote it three times and it still reads like a press release wrote it. Here's what's actually happening inside the model, the seven specific tells readers register in under a second, and the prompts that strip them out.

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Image one was perfect. Image two is that character's cousin. Here's why text prompts structurally can't hold a face, the three levers that actually work, and the reference-first workflow that replaced writing longer prompts.

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