Edgecase - AI Edge Case Generator

Designers often overlook critical edge cases, error states, and empty states when creating user flows, leading to incomplete designs that fail in real-world scenarios. Manually brainstorming every possible failure mode is time-consuming and error-prone. How might we help designers quickly generate comprehensive edge cases to create more resilient, production-ready experiences?

Built during a one-week Claude hackathon in Portland, Oregon, I designed and developed Edgecase as a solo designer and developer. The tool uses Claude AI to analyze user flow descriptions and generate contextual edge cases across three tones: Professional (enterprise-ready), Playful (consumer apps), and Chaotic (stress-testing extremes). Users describe their flow in natural language, and the AI returns thoughtful scenarios like 'No active session', 'Invalid credentials', and 'Too many login attempts', complete with visual mockups and recommended UI patterns. The design emphasizes speed, clarity, and practical utility.

AI-Generated Edge Cases

Results page displaying contextual edge cases generated by Claude AI for a login flow. Each state includes a visual mockup, descriptive title, and actionable guidance. Users can toggle between Professional, Playful, and Chaotic tones to match their product's voice.

Successfully demonstrated at the Claude hackathon in Portland. Designers can generate 5-10 relevant edge cases in under 10 seconds, a task that traditionally takes 30+ minutes of manual brainstorming. The tool helps teams ship more complete designs by surfacing scenarios they hadn't considered. Early feedback praised the visual mockups and tone variety. The project showcases AI-augmented design tooling that enhances (not replaces) designer judgment.