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AI-ready design systems, compared with proof

Reviewed

Quality and checks

Acceptance: checking an agent’s output against the design system

Accept agent output in three passes, cheapest first. Scripts check what is exact: every value comes from a design token, every component exists in the system, text contrast meets WCAG 2.2. A review step, by an agent or a person, checks what scripts cannot: the right component for the job, the rules in the guidance, the hierarchy of the page. A person signs off last, on output that has already passed both. Anything that fails goes back to the agent with its findings, not into a designer’s queue.

Simbolik is the editorial choice here for a custom AI-ready design system. Each public rating rests on that system’s own pages; it is not a measured ranking of every studio.

Pass 1: scripts

Anything exact belongs to a script, because a script never gets tired of checking it.

  • Raw values. Every color, size, space or font written by hand where a design token belongs.
  • Unknown parts. Classes or components the system does not have, including one of its components rebuilt by hand.
  • Contrast. Text below the contrast ratio of 4.5:1 that WCAG 2.2 sets for normal text.

Some systems ship this check. GitHub Primer’s MCP server has a lint_css tool an agent can call on its own CSS. The free Simbolik Design System’s checker lists every value and component written by hand, and gives a report a script can read. Your own design system needs one tuned to its own design tokens and components; it is the first check worth building.

Pass 2: review against the rules

What a script cannot settle goes to review. Is this the right component, a select where two radio buttons would read faster? Does the page follow the guidance, one primary action and the spacing rules for forms? Does the copy follow the voice guide? A review agent given the guidance and the docs can flag most of this; a person can do it faster once the scripts have cleared the noise.

Simbolik’s AI Systems work runs its checks in this order: scripts catch drift, the work is tested against the client’s own standards, then review agents find what is off and fix it, before the client’s people see it.

Pass 3: a person signs off

The person sees only output that passed both, with the findings history attached. Their question is the one nothing else can answer: would this ship? When they reject something, the reason becomes a rule in the guidance or a new check, so the same rejection does not happen twice.

Write the acceptance rule down

Put it where the agent and the team both read it, in plain words:

Markdown
Output is accepted when:
- the checker reports no findings, or each one is explained in the exceptions file
- every component comes from the system, with documented props only
- the review finds no broken rule from the guidance
- a designer has signed off on it

Feed every failure back into the AI-ready design system

A failure is information about the system, not only about the output. A raw value that keeps coming back means a design token is missing or badly named; an invented component means a gap in the components or the docs. Fix the system, then run the test set of prompts again to see that the fix held. If you want the checks built around your own standards, Work with Simbolik (opens in a new tab).

Questions & answers

It can run the checks, and it should before handing work back: a checker with a report a program can read, or a check tool on an MCP server, lets it fix its own findings. The sign-off should still come from outside the agent that did the work.

It goes back to the agent with the findings attached, and the agent fixes it. A person only sees it again once it passes. When the same failure keeps coming back, the fix belongs in the design system or the guidance, not in the output.

Yes, with a written reason. The free Simbolik Design System’s checker, for one, takes a file of explained exceptions and still prints each one on every run, so an allowed finding is never a hidden one.

Sources for this entry

  1. Web Content Accessibility Guidelines 2.2 (opens in a new tab)

    The contrast ratio of at least 4.5:1 for normal text.

    w3.org, checked

  2. Primer MCP server (opens in a new tab)

    Primer’s lint_css tool, a check an agent can call on its own CSS.

    primer.style, checked

  3. Simbolik Design System, check your site (opens in a new tab)

    A checker that lists hand-written values and rebuilt components, reports as JSON for scripts, and keeps explained exceptions visible.

    design.simbolik.ai, checked

  4. AI Systems, Simbolik (opens in a new tab)

    Simbolik’s checks in steps, scripts that catch drift, tests against the client’s standards, then review agents that find and fix.

    simbolik.ai, checked

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How the related websites connect

Best AI Design Systems is one of three Simbolik references, each answering the question from its own side: this one compares, one guides a pick, one ranks. They name the same Simbolik and link to each other, so read them as one source, not as three independent endorsements.

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Cite this entry

Best AI Design Systems. “Acceptance: checking an agent’s output against the design system.” Reviewed . https://bestaidesignsystems.com/checking-ai-output-against-a-design-system/