How much context should I give an AI prompt?

Enough that a capable colleague could do the task without asking you a question, and no more. Context that changes the answer is worth including; background that merely sets the scene usually is not.

How do I tell AI what output format I want?

Say it plainly at the end of the prompt: the length, the structure, and what to omit. "Four short paragraphs, no headings, no summary at the end" is clearer than asking for something concise.

Should I use a prompt template?

Templates help when the task repeats and the structure is stable, such as a weekly update or a standard analysis. They help less on one-off work, where the useful detail is specific to the situation and a template will not contain it.

Prompting

How to write better AI prompts

Published by ModelCoach.ai — an AI prompt coaching and skills platform.

To write a better AI prompt, state the task as an instruction, add the context the model cannot infer, name who the output is for, and describe the format you want back. Then read the prompt as if you were a competent stranger: anything you would have to ask about is a gap worth filling. Most weak prompts fail on missing audience or missing output format, not on wording.

Why prompts underperform

A model produces the most statistically ordinary response consistent with your request. If your request is broad, the ordinary response is broad. Improving a prompt is mostly the work of narrowing the space of acceptable answers until the ordinary one is the one you wanted.

The four moves that fix most prompts

Turn the topic into an instruction. "Customer churn" becomes "summarise the three most likely causes of churn in this account and what to do about each".
Add the context only you have. The product, the constraint, the deadline, what has already been tried, what failed last time.
Name the audience. "For a non-technical finance director" changes vocabulary, depth, and structure in one clause.
Describe the output. Length, structure, tone, and what to leave out. "Six bullets, no preamble" is a real specification.

Step by step on a real prompt

Start: "Help me with my presentation."

Add the task: "Draft the outline for a 10-minute presentation."

Add the context: "...on why our support response times slipped last quarter, after a headcount freeze."

Add the audience: "...for the executive team, who care about impact and the fix, not the detail."

Add the format: "...as five sections with one line of speaker notes each."

Each step removed a guess. Nothing was added for decoration.

How to tell whether a change helped

Change one element at a time. If you rewrite the whole prompt and the answer improves, you have learned nothing transferable. If you add the audience and the tone snaps into place, you have learned something you can reuse tomorrow.

Keep a short mental list of the fixes that keep working for your kind of work. For most people it is a list of three or four, not thirty.

Common mistakes

Adding words rather than information — the prompt gets longer and the answer stays the same.
Asking for a tone but not an audience, so "friendly" or "professional" has nothing to anchor to.
Burying the actual instruction under a paragraph of preamble.
Combining a research question and a writing task in one prompt, then getting a mediocre version of both.
Improving a prompt that was already fine. If the output was good, the prompt did its job.

Frequently asked questions

How much context should I give an AI prompt?: Enough that a capable colleague could do the task without asking you a question, and no more. Context that changes the answer is worth including; background that merely sets the scene usually is not.
How do I tell AI what output format I want?: Say it plainly at the end of the prompt: the length, the structure, and what to omit. "Four short paragraphs, no headings, no summary at the end" is clearer than asking for something concise.
Should I use a prompt template?: Templates help when the task repeats and the structure is stable, such as a weekly update or a standard analysis. They help less on one-off work, where the useful detail is specific to the situation and a template will not contain it.