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Design Slop Clinic

Open-source design checkup, coming soon

Made it with AI? Get a checkup before you post.

Design Slop Clinic is an open-source tool that checks posters, card news and web pages for design slop, the signs that make an AI-made visual feel generic or careless. Like running /doctor, you ask your coding agent and the checkup runs automatically. Then it tells you what to fix and how.

Coming soon

In development. The tool is being rebuilt as an agent skill with a command-line tool, and it will be released as open source.

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Status
In development
License
Open source (planned)
Runs in
Your coding agent
Checks
31 signals, 7 families

Looking finished is not the same as being finished.

Design slop is a visual that looks complete but says nothing about the organization, its purpose or its readers. It could belong to anyone, and it passes the checking work (typos, facts, trust, accessibility) on to the people who see it. The clinic shows where that happens and why, in plain words. It never gives a score and never claims to tell who made the image.

Checkup

Ask your agent. It runs the checkup.

Give a poster file or a web address to the coding agent you already use. The tool measures what can be measured without any AI model: colors, empty space, contrast, text size, alignment and wording. Your agent then looks at the image itself for the rest and asks you a few questions only you can answer.

How a checkup works
  1. measureThe tool measures the image, no AI model
  2. lookYour agent looks at the image
  3. askIt asks you what only you know
  4. reportYou get a report with fixes

Three groups

No score. Three groups.

Findings come in three groups so you know where to start. Every item says what was found and why it matters, in words a non-designer can follow.

How findings are sorted
  1. Must fixProblems that hurt trust or readability
  2. Worth fixingHierarchy, brand and wording to improve
  3. For referenceDefault AI looks worth knowing about

Fix it

Every finding comes with a fix.

For each item you get short steps to fix it by hand in Canva or Miricanvas, and a sentence for your AI that changes only that part and keeps the rest.

What each fix gives you
  1. By handFive steps or fewer in Canva or Miricanvas
  2. With AIA sentence that changes only that part

31 signals in seven families.

Images and web pages use the same rulebook. Only the input differs.

  1. A. Average looks

    Visuals that drift toward the same default AI style.

  2. B. Broken hierarchy

    Layouts where the eye does not know where to go first.

  3. C. Generation defects

    Glitches left behind by image generation.

  4. D. Off brand, off context

    Choices that do not fit the organization or the occasion.

  5. E. Trust and ethics

    Images that can mislead or treat people carelessly.

  6. F. Copy

    Wording that sounds generic or leaves out needed information.

  7. G. Accessibility

    Contrast and text size that make things hard to read.

Made to run in the agent you already use.

The tool itself calls no AI model and needs no API key. Your agent does the looking with its own model.

Where it stands

Coming soon as open source.

We will announce the release here. Meanwhile, take a look at the other tools from singandmong.

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