Nauka

Osiem krótkich lekcji o częściach dobrego promptu, od celu po prompty dla modeli rozumujących. Każda zawiera omówione przykłady i ćwiczenia oceniane według tego samego arkusza co Twoje prompty.

Ta lekcja nie jest jeszcze dostępna w Twoim języku; wyświetlamy ją w innym języku (English).

1. 1Cel i kryteria sukcesu6 minut

   Say what success looks like

   State the outcome you want and how you will judge it, so the model aims at something you can check.

2. 2Kontekst i dane wejściowe6 minut

   Give the model what it cannot know

   Supply the facts, material and situation the task depends on, clearly separated from your instructions.

3. 3Odbiorcy i cel użycia6 minut

   Write for someone

   Say who will read the output and what they will do with it, so the level, emphasis and tone follow.

4. 4Ograniczenia i granice6 minutPro

   Draw the boundaries

   Set the scope, the must and must-not, the sources and what to do when unsure, and say which rule wins when they clash.

5. 5Instrukcje zadania6 minutPro

   Say what to do, in order

   Turn a tangle of requests into clear, ordered steps, with the reason for the order, a stopping point and a plan for a step that fails.

6. 6Kontrakt wyjściowy6 minutPro

   Agree the shape of the answer

   Specify the format, structure, length, language and tone of the result, and use a schema when a program will read it.

7. 7Przykłady i materiały referencyjne6 minutPro

   Show as well as tell

   When words cannot pin down the format or judgement you want, give a few varied, delimited examples, including a hard case.

8. 8Dopasowanie do modelu i higiena7 minutPro

   Prompting reasoning models in 2026

   Current models reason for themselves: set the effort instead of asking for step-by-step thinking, write calmly, put long material first, explain why, and use structured outputs instead of prefill.