promptmastery
ENFRAR

The patterns

The 10 prompt engineering patterns that actually work in 2026

Ten patterns that hold up in 2026. Each one is grounded in official documentation, honest about when it helps and when to skip it, and comes with an example you can copy.

  1. 01 Be the architect, not the coder Describe the outcome and the constraints. Let the model handle the execution.
  2. 02 Structure your prompt like a pipeline Order matters: role, context, instructions, examples, then constraints last.
  3. 03 Give the model a way to check itself Give the model a test or checklist so it catches its own mistakes first.
  4. 04 Read first, plan second, act last Ask for analysis and a plan before the final output, especially on complex work.
  5. 05 Respect the context window More text is not better. Keep prompts lean and put key parts first and last.
  6. 06 Save your rules in a config file Put your standing rules in a persistent file instead of repeating them each time.
  7. 07 Force structured output when you need it For machine-readable output, use native schema modes; pre-fill helps in chat.
  8. 08 No single model wins everything Match the task to the model. The same prompt can behave differently across models.
  9. 09 Let a second pass review the first A separate review pass with fresh context catches what the first one missed.
  10. 10 Build a playbook that compounds Save what works as reusable prompts and rules so each task improves the next.