Chat, is this real?

AI Fact-Checking Copilot: a Chrome extension that uses a multi-agent loop to extract claims, research sources, and deliver real-time, data-driven verdicts to help stop the spread of misinformation.

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Chat, is this real?

Inspiration

2025 has been one of the wildest years in politics. Every day, we are flooded with breaking headlines, viral posts, and shocking claims. From conflicting news reports to fear-mongering tweets, it has become nearly impossible for everyday people to separate truth from spin in real time. Traditional fact-checking is too slow, and by the time fact-checkers publish, misinformation has already gone viral.

Before you believe anything, ask yourself: "chat, is this real?": a real-time fact-checking Chrome extension powered by an Agent-to-Agent (A2A) architecture. With just one click, readers can activate our agent architecture, and within seconds, the extension activates a network of specialized agents.

What It Does

“Chat, is this real?” is a Chrome extension that fact-checks news in real time.
It:

  • Extracts key claims
  • Researches multiple sources
  • Evaluates credibility and bias
  • Delivers an evidence-based verdict with a confidence score

How We Built It

  • Architecture: Multi-agent pipeline using Google’s Agent Development Kit (ADK)

  • Agents: Master Agent → Extractor Agent → Evaluator Agent → Parallel Retrieval Agent (Positive, Neutral, Negative Subagents) → Loop Fact Checker Agent (Analyst and Refinement Subagents), iterating for refinement.

  • Tech Stack: Python 3.10+, FastAPI Backend, ADK/A2A Protocol (Parallel + Loop Workflow), Gemini API, Chrome Extension front-end

Challenges

  • Designing an iterative loop to re-query until confidence thresholds were met
  • Normalizing credibility/bias metrics across heterogeneous news domains
  • Efficiently scraping and cleaning article text for accurate claim extraction

Accomplishments

  • Fully working multi-agent fact-checker built in under 36 hours
  • Seamless browser integration for one-click verification
  • Data-driven scoring that keeps human bias out of the loop

What We Learned

  • Coordinating specialized agents with ADK and managing stateful loops
  • Practical techniques for real-time credibility assessment of online content
  • The importance of UX when delivering complex analysis in a simple interface

What's Next

  • Expand the source database beyond Ad Fontes ratings
  • Add multilingual claim extraction and fact-checking
  • Deploy a public beta and gather feedback from journalists and educators

Built With

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