Agent Instruction Prompt Formatter
Formats fuzzy agent instructions into a structured prompt with objective, available tools, constraints, success criteria, and failure handling.
Converts a loose content request into a prompt with audience, goal, tone, format, and constraints — so the output matches what you actually needed.
Content prompts that produce generic results are usually missing one of four things: a real audience, a specific goal, an explicit tone, or a format constraint. This formatter extracts those from whatever you wrote and makes them explicit — without turning your request into something you didn't ask for.
Write what you need — don't structure it
Include what you want written, who it's for, what it should do, and any restrictions. Write it naturally.
Open in Prompt Formatter
The formatter separates content type, goal, audience, tone, format, and constraints.
Check the audience section
This is the section most likely to be missing from a quick content request. If the audience is [not specified], fill it in — it's the biggest lever for output quality.
Use the structured prompt
A prompt with explicit audience and goal produces content that's written for someone specific, which is almost always better than generic.
The formatter leaves the ## Audience section as [not specified] rather than guessing, because a rule forbids inventing what wasn't stated. Since audience is the section most likely missing from a quick request and the biggest lever on output quality, you fill in that [not specified] before using the prompt. The Prompt Formatter reshapes your request; it doesn't write the content.
It's constrained not to: rules say do not add a goal that wasn't stated or clearly implied, and do not convert a request for one content type into another. It only extracts your audience, goal, tone, format, and constraints into the six labeled sections and makes an implicit tone explicit. It reshapes the request — running the finished prompt and producing the content happens in your own assistant.
Formats fuzzy agent instructions into a structured prompt with objective, available tools, constraints, success criteria, and failure handling.
Converts a stream-of-consciousness prompt into a structured one with Task, Context, Constraints, Requirements, and Output Format sections.
Turns scattered technical instructions into a coding prompt with a clear task, code context, constraints, and expected output.
Convert scattered bug notes, Slack messages, or user complaints into structured engineering tasks with reproduction steps, severity, and root cause hypothesis.
A reusable AI agent task template with variables for objective, context, available tools, constraints, success criteria, failure handling, and output format.
A set of before-and-after examples showing exactly what prompt cleanup removes — and what it deliberately leaves alone.
Turn a messy, stream-of-consciousness prompt into a clean, structured one.
"Write a professional email" comes back smooth, generic, and aimed at the wrong reader — so you burn three rounds feeding in details you should have led with. Here's how to write a short first-draft brief up front, so the draft lands closer to what you needed.