High-Quality AI Prompt Framework
Prompt Parts
- Role: assign a relevant working role when it helps
- Task: state the exact job in one sentence
- Context: include only the information that changes the answer
- Constraints: add limits, exclusions, or boundaries
- Examples: show one good pattern if the output is easy to model
- Format: request the exact shape you want
- Rubric: define what a strong answer must include
Fast Checklist
- Can the AI tell what success looks like?
- Does the prompt include the minimum necessary context?
- Did you specify the output format?
- Did you remove irrelevant detail?
- Would a human reviewer know how to judge the answer?
When to Stop Fixing the Prompt
- The model lacks the needed information
- The workflow needs retrieval or tools
- The task needs structured outputs
- The problem is system design, not wording
Direct answer
A strong AI prompt removes ambiguity about the job. The most reusable structure is simple: define the task, give the relevant context, add constraints, show the format, and make the standard for success visible.
The 7-part prompt framework
- Role: Who the AI should act like
- Task: What it should do
- Context: What it needs to know
- Constraints: What to avoid or limit
- Examples: What good looks like
- Format: How the answer should be shaped
- Rubric: How success should be judged
The shortest reusable template
Use this when you need a reliable starting point:
You are a [role].
Help me [task].
Context: [relevant background].
Constraints: [limits, things to avoid].
Output format: [table, bullets, JSON, etc.].
A strong answer should: [rubric].
Common prompt failures
| Failure | Fix |
|---|---|
| vague task | define the actual job more clearly |
| missing context | supply the source material or key background |
| no format | ask for the exact output shape |
| no quality bar | state what a strong answer must include |
| too much noise | cut low-value detail that crowds the real task |
When the problem is not the prompt
If the system still fails after a clear prompt, the issue may be:
- missing knowledge
- weak retrieval
- the need for structured outputs
- poor workflow design
Related AIReady guides
Sources
Refresh checklist
- update the template if mainstream prompt guidance changes materially
- keep the framework aligned with the broader system-design pages
Last updated: March 18, 2026
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