Inspiration

Fixen was inspired by the constant frustrations homeowners and renters face when something breaks, leaks, or stops working — and they don’t know where to start. Many people resort to costly repair visits or unverified DIY advice online. We thought, what if anyone could access a trusted, conversational repair assistant powered by AI?

What it does

  • Diagnostic Guidance: Users describe their issue in plain language through an intuitive chat interface.
  • Severity Levels: Issues are categorized by severity (e.g., minor wall cracks vs. major structural damage).
  • Interactive Q&A: The assistant asks follow-up questions to narrow down possible causes.
  • Actionable Recommendations: Provides step-by-step troubleshooting tips or suggests professional help when necessary.
  • History & Logs: Tracks past diagnostics so users can revisit previous issues.

How we built it

  1. Frontend:
    • Scaffolded quickly with Bolt.new
    • Designed a clean, friendly UI in Figma
  2. Backend:
    • Used Supabase to store user logs and diagnostic histories
  3. AI Assistant:
    • Powered by ChatGPT for natural-language understanding
    • Supplemented with Claude- and Perplexity-inspired logic for real-time validation
  4. Conversational Flows:
    • Mapped out diagnostic trees for common household categories
    • Conducted extensive user testing to refine question sequences

Challenges we ran into

  • Language Safety: Fine-tuning the assistant’s wording to avoid incorrect or potentially dangerous instructions.
  • Context Memory: Integrating session-to-session memory without compromising user privacy.
  • UX Balance: Designing an interface that feels helpful and supportive, yet not overwhelming or too technical.

Accomplishments that we’re proud of

  • Created a fully functional MVP with dynamic diagnostics
  • Designed and tested unique flows for wall repair scans
  • Established a clean brand identity and user interface tailored to our target audience

What we learned

  • How to balance UX and technical feasibility in AI-first applications
  • How to validate AI responses with fallback systems like Perplexity for fact-checking
  • How to manage cross-functional team roles in a fast-paced project (design, development, testing)

What’s next for Fixen

  • Add voice assistant functionality using Whisper or another voice-to-text model
  • Expand diagnostics into HVAC, roofing, and car repairs
  • Partner with local professionals for monetized referrals
  • Release a beta to real users for feedback and iteration

Built With

  • bolt.new
  • chatgpt
  • figma
  • netlify
  • openai
  • perplexity
  • react
  • supabase
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