Prompts for GPT: structure first, ambiguity last

Reusable GPT prompt templates: clear constraints, formats, and iteration loops.

What changes with this model

Even if prompt structure is similar, each model has biases: some follow strict instructions better, some are more creative, and some need examples. These templates are designed to reduce ambiguity and improve consistency.

Recommendation: define output format (ideally with a checklist), add constraints, and if you need precision, use few-shot or require strict JSON.

Strict JSON Few-shot Hallucinations

Quick tips

Put the instruction first, then context, then output format.
Use delimiters for long context (\"\"\" ... \"\"\").
Ask for questions first if info is missing.

Templates

Clear answer + format

Goal: [what you want]
Context: [key facts]
Output format: bullet list with headings.
If info is missing, ask up to 3 questions first.

Opens on home with the prompt prefilled.

Open in Promptea

Decision memo

Write a decision memo.
Options: [A, B, C]
Constraints: [budget/time]
Return:
- recommendation
- pros/cons per option
- risks
- next steps

Opens on home with the prompt prefilled.

Open in Promptea

FAQ

How do I reduce generic answers?

Force an output structure and add constraints. Without constraints, the model fills gaps with generic advice.