Inspiration

Online policy discussions are often chaotic, polarized, and difficult to navigate. Platforms like forums and social media expose people to fragmented and emotionally charged arguments, making it hard to understand both sides of an issue.

We were inspired by the idea that better structure leads to better thinking. If arguments can be organized clearly and summarized fairly, people can make more informed and thoughtful decisions.

What It Does

Consonance is a platform that transforms messy policy debates into structured, balanced insights.

Users can:

  • View a policy question (for example, Universal Basic Income)
  • Explore clearly separated FOR and AGAINST arguments
  • Add their own arguments with reasoning and sources
  • Generate an AI-powered summary of the strongest points on both sides

In seconds, users can understand the core of a complex debate.

How We Built It

We built Consonance as a lightweight MVP focused on clarity and speed:

  • Frontend: Next.js + Tailwind for a clean, readable interface
  • Backend: Next.js API routes for simplicity
  • Data: JSON / SQLite for storing structured arguments
  • AI: OpenAI API to analyze arguments and generate balanced summaries

The core pipeline:

  1. Collect structured arguments
  2. Send them to the LLM
  3. Generate the strongest FOR and AGAINST points

Challenges We Ran Into

Balancing Simplicity vs. Usefulness

We had to resist adding too many features and focus on one powerful idea.

Ensuring Neutrality in AI Summaries

Designing prompts that avoid bias and fairly represent both sides was challenging.

Time Constraints

Building a full flow (input -> storage -> AI -> output) within a hackathon timeframe required careful prioritization.

Accomplishments That We're Proud Of

  • Built a working end-to-end prototype in a short time
  • Created a clear and intuitive UI that judges can understand instantly
  • Successfully demonstrated how AI can structure, not replace, human reasoning
  • Delivered a compelling "10-second understanding" experience

What We Learned

  • Structure is as important as intelligence when it comes to information systems
  • AI is most powerful when it augments human thinking, not replaces it
  • Clear problem definition is critical in building impactful solutions
  • Ethical considerations (bias, misinformation) must be addressed early

What's Next for Consonance: AI-Powered Clarity for Complex Debates

  • Add source credibility scoring to combat misinformation
  • Improve bias detection and transparency in summaries
  • Support multiple policies and real-time discussions
  • Introduce community moderation and voting mechanisms
  • Expand into education and civic engagement tools

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