A prompt template you can reuse

Most weak prompts are missing context, not adjectives. Use five fields, a fixed output shape, and a small test set so the same prompt keeps working for the team.

If a model “does not get it,” the prompt usually left out something you assumed. Write that assumption down. A template is just those assumptions in a stable order.

Five fields

FieldIf you skip it
TaskThe answer solves a different problem
ContextTone and audience drift
LimitsThe model invents numbers or policy
Output shapeYou cannot reuse the result
ExampleStyle jumps around

Output shape is the one teams skip. Ask for a table, a JSON object, or fixed headings if a script or a colleague will consume the text.

Copy this skeleton

Task: {what to produce}
Reader: {who it is for}
Limits: Use only the material below. If a fact is missing, write "unknown".
Material:
{paste}
Output: {exact headings or fields}
Example: {one short sample}

Store templates by job (email, meeting notes, code review), not by product name. Products change. Add the date you last tested the prompt, and one failure you have already seen.

Tune one line at a time

Keep five real inputs. Change a single line, rerun all five, and write down whether the pass rate moved. If you change three lines at once, you will not know which one helped. A new teammate should be able to fill the braces and get an acceptable draft. If they still need a walkthrough, the example is too thin.

See a stricter version for meetings in A meeting-notes prompt.

#prompts#templates#workflow

FAQ

Are longer prompts better?
No. A short prompt that states the task, limits, and output shape beats a long one full of praise words.
Why do results change each run?
Sampling is random. Lower the temperature and require a fixed format when you need the same structure every time.
Do we rewrite prompts after every model upgrade?
Keep the template. Once a quarter, rerun five fixed tasks and change a line only if the pass rate drops.