Our Methodology

Our method is simple. We feed an AI model with the exact text that we cite and tell it to summarize and categorize it in an unbiased manner.

1. Official Data Collection

We gather comprehensive and official data directly from government sources like congress.gov:

House and Senate voting records
Official Congressional Record
Legislative bills and full texts, including sponsor and co-sponsor details, along with politician voting information

2. Artificial Intelligence Analysis

Using an AI language model - usually OpenAI GPT-5-mini, we systematically:

Generate concise summaries of lengthy congressional records, bills, and politician statements
Categorize each piece of information into relevant political issue areas (e.g., economy, healthcare, immigration, foreign policy)
Analyze and determine bias, offering insights into the political positioning reflected in statements, bills, and voting behaviors

3. Categorization and Summarization

Our AI-driven approach ensures that users easily access and understand complex congressional data through:

Daily Updates summarizing recent activities in Congress
A Political Issue Dashboard that organizes information clearly by topics and shows related legislation, votes, and politician statements
Politician Analysis featuring bias charts and comprehensive bar charts for easy comparison and deeper insights

4. Transparency and Reference

All AI-generated summaries, analyses, and categorizations directly cite and link to the official congressional records and documents from the Library of Congress, ensuring transparency, accuracy, and trustworthiness.