AgentDirective

Before you build

Set the boundaries before your AI builds.

Describe your project. Decide who can do what, which limits apply, and what happens when something fails. Get a clear brief to give your coding agent.

Watch how it works

Try an example

Start with one click.

Each example starts a browser-local review. Nothing is compiled until you choose to create the files.

Keep it high-level. Do not paste secrets, customer records, credentials, or source code. We check the local library first, then show you what matched.

Optional settingsWork context and optional AI suggestions

About you (optional)

Choose the setting closest to your work. It does not affect the review and is counted only as a group.

No account or repository access. Matching stays in your browser. Creating files sends your description and answers to Cloudflare for this request; they are not stored. Optional AI has separate consent.

What you get

Ready for your agent
  • Build instructions.agentdirective/agent-directive.jsonStructured rules your coding agent can follow.
  • Readable project brief.agentdirective/AGENTDIRECTIVE.mdA plain-language version for people and agents.
  • Implementation progress.agentdirective/control-status.jsonWhat your agent reports as built, incomplete, or still open.
Clear instructions, not a vague score.

Your agent gets the boundaries to implement, available validation scenarios, and a structured way to report progress.

One small decision. A big difference.

Working code needs clear limits.

A refund app can work perfectly and still send more money than you intended.

Same refund request $2,400 Example owner’s approval limit: $500

Without a clear rule

Refund sent

The app pays. No one is asked.

With your rule built in

Approval first

The app holds. You decide.

Illustration · AUT-001 v1.1.0 · $500 is fictional, not a recommended limit.

The film · under a minute

Watch an idea become a hand-off.

One build idea, from a plain sentence to a brief your coding agent follows and reports back against.

A short film showing one build idea move through AgentDirective. A text version follows.
Read the film as text
  1. Describe. Type the build idea in plain words, such as an AI support tool that reads customer emails and automatically issues refunds. No account, repository, or source code.
  2. Detect. Published rules find what the system does: an AI component, outside input, customer data, and money movement. You correct anything that is wrong.
  3. Match. Your confirmed traits select versioned Control Packs, such as AUT-001, AI-001, and OBS-001, and each one says why it applies.
  4. Decide. You answer the questions that matter, such as a $500 refund limit before a person must approve. Leaving a decision open is a valid answer, and your agent must ask rather than guess.
  5. Hand off. Your agent gets the boundaries, the open questions, and the files it reports into. It restates what it must follow and asks about anything still open.
  6. Report back. Your agent records what it implemented, what is partial, and what is still unresolved. Reported is not verified, and the report says so.
Try it with your own idea

What one sentence gives you

Every failure point, on the step where it happens.

This is the real map for the example below, drawn by the same rules your own review uses. Open any step to see its safeguards and the questions only you can answer.

Map your own system See every step

Example descriptionAn AI support agent reads customer emails and automatically issues refunds through Stripe, using customer records.

Why it helps

Make the important decisions yourself.

A coding agent may make assumptions when a prompt leaves something out. Review the choices that affect authority, data, and failure handling before implementation.

Where to start

Start where you are.

No account, no repository access, no source code. Pick whichever matches where you are.

Describe a build Paste the prompt you were about to give your coding agent and review it before anything is built. Go to the description box Pick what you are building Choose a project type and its main actions. Then review and correct the suggested traits. Open the guided start Review a project you already have Create an inspection prompt for your agent, or bring a previous directive to review what changed. Review an existing project

What this is not

Design guidance, not a security guarantee.

AgentDirective prepares instructions and checks reported metadata. You still need code review and testing to find out whether the implementation follows those instructions.