Quick Answer
Most strong prompts can be understood as four pieces: context, task, constraints, and format. Context tells the model what situation it is in, the task tells it what to do, constraints set boundaries, and format makes the output easier to use.
Use this guide when
The reader wants a simple mental model for prompt structure.
Working Method
The practical move is to make the model's job visible. Before you ask for the final output, define the important choices you do not want the model to guess.
- Write the context in plain facts: who, what, where, and why the answer matters.
- Put the task on its own line so it is not buried in background.
- Use constraints to protect the result from common failure modes, such as excessive length or unsupported claims.
- Specify format in concrete terms: headings, bullets, table columns, JSON fields, or a decision memo.
- Read the prompt once as if you were the person doing the work and remove anything that would distract you.
Prompt Example
Too vague
Tell me what to do with this customer feedback.More useful
Context: We received 80 short comments after a beta launch of a scheduling app. Task: identify the top product issues and write a product-team summary. Constraints: do not invent percentages, separate bugs from feature requests, and flag comments that need follow-up. Format: table with issue, evidence, severity, and suggested next step.Common Pitfalls
- Mixing context and instructions into one dense paragraph.
- Using vague constraints such as make it professional without defining what that means.
- Asking for a polished output before the input has been organized.
How to Judge the Answer
A better prompt is only useful if the answer becomes easier to evaluate. Before using the response, check whether it meets the standard you set.
- Each part of the prompt has a visible purpose.
- A missing fact is either supplied or explicitly marked as missing.
- The output format supports the next human decision.
FAQ
Do prompts need all four parts every time?
No. Simple tasks may only need a task and format. The four-part model is most useful when the work has stakes, nuance, or repeated use.
Where should examples go?
Put examples after the instruction and label them clearly, especially when the output style or structure matters.
Sources
Selected references that informed this guide:
- Best practices for prompt engineering with the OpenAI API OpenAI Help Center
- Overview of prompting strategies Google Cloud