Loop Engineering

Build AI Processes That Can Check and Improve Their Own Work

A loop is more structured than one large prompt. You define the objective, the steps, the checks, the guardrails and the point at which the work is finished — then reuse that structure whenever the same kind of work comes back.

Windows and macOS apps are coming soon.

Anatomy of a loop

Eight parts, written down instead of assumed

Most disappointing AI output comes from missing structure, not a missing model. A loop makes each part explicit.

Objectives

State the outcome in a way that can be judged, not just described.

Execution steps

The ordered work the loop performs on each pass.

Validation checks

The criteria the output must meet before it counts as done.

Guardrails

Boundaries the process must not cross, written down instead of assumed.

Retry logic

What happens on a failed check — rewrite, narrow the scope, or escalate.

Error handling

A defined response for the cases where a step cannot complete.

Stop conditions

Caps on iterations so the process ends deliberately.

Final report format

The shape of the deliverable, decided before the work begins.

The cycle

Create → Review → Validate → Improve → Repeat → Complete

One pass rarely produces finished work. A loop keeps the improvement step inside the process instead of leaving it to you.

  1. 1Create
  2. 2Review
  3. 3Validate
  4. 4Improve
  5. 5Repeat
  6. 6Complete

The cycle repeats until the validation checks pass or a stop condition is reached.

Platform availability

Available now on mobile

Loop Engineering AI is live on the Apple App Store and Google Play. Desktop apps are on the way.

Available now

iPhone and iPad

Native iOS app with the full graph, loop and prompt workspace.

Download on the App Store
Available now

Android phones and tablets

Native Android app with the same local-first project library.

Get it on Google Play
Coming Soon

Windows

A desktop canvas for larger graphs is in development.

Coming Soon

macOS

A native Mac workspace is in development.

FAQ

Loop Engineering FAQ

Loop Engineering is designing an AI process as a repeatable cycle — create, review, validate, improve, repeat — with explicit guardrails and a stop condition, instead of submitting one large prompt and hoping the answer is good.

Start building visual AI systems today

Design graphs, engineer loops and keep every project on your device.

Windows and macOS apps are coming soon.