Originality Intelligence

Use when an interface risks converging on generic AI aesthetics and you need to detect templated output and steer toward intentional, context-fitting design.

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Originality Intelligence

Responsibility: Detect generic AI-aesthetic convergence and ensure visual decisions are intentional and fitted to the product, not defaulted from training priors.

When to invoke

  • Step 10 of the root workflow, after structural concepts and before pattern lock-in.
  • Whenever output resembles a templated landing-page or dashboard default.

Inputs

  • Proposed structural concepts, visual direction, and the genome slice.

Outputs

  • A convergence assessment: which choices read as generic and why.
  • Specific, lower-complexity alternatives that fit the product's actual identity.
  • A pass/flag verdict feeding the decision ledger.

Engine data + CLI

  • Reads design-intelligence/styles and the genome in governance/design-genome.
  • ii originality check, ii originality diff.

Notes

Originality is not novelty for its own sake. Never let visual novelty outrank user outcomes. The goal is design that is recognisably this product's, achieved with the least complexity. Flag, explain, and offer alternatives, do not silently restyle.

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