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AntiPatternAI UX Lab

About the Lab

AntiPattern is a research-backed catalog of AI UX failures. We map the moments where AI systems break trust, then translate those insights into actionable response patterns.

The mission

Make AI interfaces honest, legible, and accountable to the people using them.

Replace mystery with observable system behavior.

Build AI that respects user agency and intent.

We believe in

  • Transparency over magic.
  • User control over silent automation.
  • Clear boundaries over anthropomorphic misdirection.

We reject

  • False confidence that masks uncertainty.
  • Hidden data usage and unclear consent.
  • Failure states that leave users stranded.

Technical note

This application is a deterministic simulation. No live LLMs are called. That means each anti-pattern is reproducible, auditable, and safe to study.