How to write better AI prompts that work more than once

1. Start with the job

Write the actual job, not a vague request. “Help me with content” is not a job. “Generate 10 ranked content ideas for our LinkedIn audience this month” is a job. Start with a sentence that names the deliverable.

2. Add context

Name the audience, the situation, the goal, and the constraint. Without context the model picks a plausible-sounding default. With context it stays on-topic for your business.

3. Add variables

Variables are the inputs that change between runs. Wrap them in {{double_braces}} so the same prompt can be reused with a new product, audience, or offer next time.

Product: {{product}}
Audience: {{audience}}
Main objection: {{main_objection}}

4. Add constraints

Say what the output must avoid. Word limits, banned phrases, off-limits topics, format restrictions. Constraints cut the model’s default fluff and force specificity.

5. Add decision criteria

Tell the model how to rank options. “Pick the headline that most directly neutralizes the main objection” is a decision rule. Without one, the model returns a list and lets you do the work.

6. Define the output format

Specify the structure: number of items, sections, fields, table format. If the output format is undefined, every run looks different and the prompt is not reusable.

7. Save the reusable version

Once the prompt works, save it. Give it a name, lock the parts that should never change, and leave the variables open. Next week, run the same prompt with a new product, audience, or offer. Browse reusable AI prompt templates for examples you can copy.