Inspiration

  • We've all experienced group projects where everyone thinks they're on the same page, only to realize they had completely different expectations.
  • Miscommunication, unclear responsibilities, and unspoken concerns often lead to wasted time and unnecessary frustration.
  • We wanted to build something that addresses these issues before they affect a team's progress.

What it does

  • Mediator is an AI-powered collaboration platform that helps teams uncover hidden disagreements and establish shared expectations.
  • Team members independently submit their goals, priorities, deadlines, and responsibilities.
  • Our AI analyzes different perspectives, detects misalignment, and suggests actionable resolutions.
  • Rather than making decisions for the team, Mediator helps everyone reach a shared understanding.

How we built it

  • Designed a multi-agent workflow with three components:
    • Perspective Analysis: Understands each member's individual input.
    • Conflict Detection: Identifies contradictory expectations and unclear responsibilities.
    • Resolution & Synthesis: Generates potential compromises and shared plans.
  • Incorporated a human approval step so teams maintain control over decisions.
  • Used Google Antigravity and Figma Make for development and prototyping, with n8n for AI workflow orchestration and GitHub for version control.

Challenges we ran into

  • Distinguishing actual disagreements from differences in how people phrase their responses.
  • Finding the right balance between AI-generated suggestions and human decision-making.
  • Prioritizing our core features within the limited hackathon timeframe.

Accomplishments that we're proud of

  • Developing an AI-driven approach to identifying hidden team misalignment.
  • Designing a workflow that transforms individual perspectives into actionable recommendations.
  • Keeping human collaboration and decision-making at the center of our product.

What we learned

  • AI can do more than automate tasks; it can help people recognize misunderstandings and communicate more effectively.
  • Building multi-agent workflows requires balancing context, accuracy, and actionable outputs.
  • Successful collaboration isn't about avoiding disagreements, but addressing them early.

What's next for Mediator

  • AI Meeting Shadow: Track decisions, deadlines, and commitments across meetings.
  • Idea Synthesis: Combine the strongest parts of different team proposals.
  • Persistent Memory: Remember previous agreements and flag contradictions.
  • Integrations: Connect with existing project management and communication platforms.

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