promptmastery
ENFRAR

Prompt engineering, 2026

Learn to prompt well — and know why it works.

A clear, evidence-based guide to prompt engineering. Plain enough to start today, deep enough to rely on in production, and honest about what changed in 2026.

Start here The 10 patterns

Two ways in

I’m new to this

Start with the ideas that matter most: writing a clear request, structuring it, and avoiding the mistakes that cause most weak answers. No jargon.

Start from the basics I do this professionally

Go straight to the patterns that matter in production: structured output, context engineering, model routing, self-verification, and review loops.

Jump to the patterns

Why trust this

Grounded in the official sources, not hot takes

Every pattern here is checked against the published guidance from the people who build these models — OpenAI, Anthropic, Google, Meta, Microsoft — plus peer-reviewed research. Where the advice changed in 2026, we say so, and we link the source so you can verify it yourself.

The core

Ten patterns that hold up

  1. 01 Be the architect, not the coder
  2. 02 Structure your prompt like a pipeline
  3. 03 Give the model a way to check itself
  4. 04 Read first, plan second, act last
  5. 05 Respect the context window
See all 10 patterns