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Brief your AI.
Get precision output.

Twelve questions. Four minutes. A production-grade AGENT.md your AI assistants read before generating code. Ensure they match your conventions, not their assumptions.

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12Targeted questions

4 minAverage completion

600+Lines generated

5AI tools supported

·No account required

Live Interactive Sandbox

See prompt guidelines change code in real-time

Toggle the rules in the left panel to watch how the AI adjusts its code structure dynamically based on the specifications.

Prompt Specifications

Button.tsxConforming to AGENT.md

// Reacting to prompt rules: TS=ON, NAMED=ON, TW=ON

interface ButtonProps {
  onClick: () => void;
  className?: string;
}

export function Button({ onClick, className }: ButtonProps) {
  return (
    <button
      onClick={onClick}
      className={cn('px-4 py-2 bg-cobalt text-white rounded-full hover:bg-cobalt-deep transition-all', className)}
    >
      Action
    </button>
  )
}

The difference it makes

Button.tsx

Without AGENT.md

// AI has zero context about your project

// It guesses conventions — and guesses wrong

export default function Button({ onClick }) {

// default export → wrong for this project

// no TypeScript → strict mode violation

return <button onClick={onClick}>Click</button>

}

// Installed lodash without asking

// Added inline styles instead of Tailwind

Button.tsx

With AGENT.md

// AI read your AGENT.md before writing a line

// Named export · TypeScript · cn() · your patterns

import { cn } from '@/lib/cn'

interface ButtonProps {

onClick: () => void;

className?: string;

}

export function Button({ onClick, className }: ButtonProps) {

return (

<button

onClick={onClick}

className={cn('btn-base', className)}

/>

)

}

Engineered for modern workflows

Align every coding convention under one specification

Hard Guard Constraints

Specify strict boundaries: forbid structural code changes, external packages, or configuration edits without consent.

Stack-Aware Conventions

Align your assistant on named exports, strict type safety, Tailwind CSS utility patterns, and error handling guidelines.

Workspace Architecture

Provide clear visual directory schemes and folder descriptions so the LLM understands exactly where to write new files.

Workflow & Commands

Embed correct script targets (e.g. build, lint, database migrations, and testing) to prevent runtime syntax hallucinations.

Technical Roadmap & Prompt Blueprints

Opt-in to generate ROADMAP.md files for your agent and PROMPTS.md containing session-optimized instructions that save token context.

Multi-Agent Config Bundle

Automatically package AGENT.md, CLAUDE.md, Cursor rules, Claude settings, and professional setup scripts stripped of emojis.

IDE File Tree Sandbox

Explore, inspect, and edit all your workspace rules and configurations in real-time inside a sleek sidebar layout.

Modular Blueprints

Inspect preset archetypes

nextjs-blueprint.md

Next.js App Template

Optimized for modern React server components, named exports, strict TypeScript, and Tailwind utility patterns.

Configured Core Guidelines:

—Always utilize Named Exports. Never export default.

—Prefer Tailwind CSS utility classes; avoid raw inline styles.

—Import absolute assets using the path alias prefix @/.

01

Identity

Specify project parameters, stack versions, and target deliverables.

02

Tech Stack

State languages, frameworks, UI styles, and AI provider selections.

03

Architecture

Outline the visual directory scheme and coding guidelines.

04

Constraints

Deploy hard boundaries, prohibited procedures, and workflows.

FAQ

Common
Questions

Have doubts about how AGENT.md works under the hood? Here are our straightforward replies.

Custom instructions are bound to a specific user profile or browser session. AGENT.md stays inside your repository at the root folder: any developer, Cursor editor, Claude Code terminal, or Copilot extension opening the workspace instantly inherits the identical specifications.

Absolutely not. This is a fully client-side application. All answers stay in your local local browser cache, and configuration keys are coded into pure client-side URLs. Zero project metrics are shipped to external servers or databases.

Modern AI tools crawl, parse, and index codebase files automatically. By adding an AGENT.md (or pointing your Claude Code/Cursor profiles directly to it), the LLM reads and respects the constraints as foundational context before writing code.

A great prompt profile focuses on constraints over capabilities. It shouldn’t teach generic language syntax; instead, it specifies your concrete standards: architecture boundaries, naming syntax, and script workflows.

Ready to brief your AI assistant?

Free · No account · Purely Client-Side

Brief your AI.Get precision output.