Arketo

You cannot fix what you cannot see.

The fastest way to build is now the fastest way to ship architecture no one reviewed. Arketo shows it while it is still a diagram, not an outage.

Speed hides the shape of your system.

When an assistant writes the code, you read it file by file and it all makes sense. But a system is not its files. It is how they connect: which service calls which, where data crosses a trust boundary, what happens to everything else when one piece is slow. That shape exists the moment you ship. The only question is whether you have looked at it.

What goes wrong while it stays invisible

These are not edge cases. They are the four ways prompt-built systems most often bend, and each one is invisible right up until it is not.

The hidden bottleneck

High

Every request quietly funnels through one service, or one synchronous database call sits on the hot path.

How it surfacesFine with a hundred rows in dev. At a hundred thousand under real traffic, latency climbs, then requests start timing out.

The missing boundary

Critical

An endpoint or internal service was never actually behind the auth check, because traffic reaches it on a path nobody drew.

How it surfacesYou find out in a penetration test if you are lucky, or in a breach disclosure if you are not.

The single point of failure

Critical

One cache, one queue, or one database with no fallback that the entire system silently leans on.

How it surfacesIt blinks for thirty seconds during a deploy and takes everything down with it.

The scaling cliff

Medium

A design that holds up linearly until a shared resource saturates: a connection pool, a queue depth, a rate limit.

How it surfacesEverything slows down at once, and the cause is buried because no single component looks broken on its own.

The longer it hides, the more it costs.

The same flaw is a footnote on a diagram or a 2am page, depending only on when you find it. Arketo moves that moment as early as it can go.

  1. On the canvas, today

    A one-line change while it is still a drawing.

  2. In code review

    A refactor before anything ships. Annoying, not expensive.

  3. Under load in production

    A hotfix written at speed while real users wait.

  4. In the middle of an incident

    A postmortem, lost trust, and the same fix anyway.

It is not another platform to adopt.

What it asks of you

Paste one URL into the assistant you already run. Describe your system the way you already do. That is the whole setup.

What it does not ask

No new model to pay for on our side, no agent to babysit, no diagram to keep up to date by hand. You bring the LLM, it does the drawing.

Look at it before production does.

Ten minutes with the assistant you already use, and the system you shipped stops being a guess.

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