Research Documents
All of our research, analysis, and design documents are available for download as markdown files. These are the original working documents from our March 2026 research sprint.
Core Research
| Document |
Description |
| 80-Site AI Readability Analysis |
Full landscape scan of 80 political websites across federal, state, local, and ballot-measure levels. Research citations, token cost analysis, deployment strategy. |
| A/B Experiment: Full Results |
Controlled experiment — 5 voter questions scored across 6 dimensions with and without verified political data. Complete scoring rubrics and analysis. |
| Token Cost Lab Experiment |
Deep case study comparing AOC and Fetterman. Measures actual bytes, tokens, and signal-to-noise ratios. Documents the 42-190x efficiency improvement. |
| Preliminary Scan Results |
Quick-reference findings from manual spot-checks of major political websites including whitehouse.gov, donaldjtrump.com, and gov.texas.gov. |
Analysis & Insights
| Document |
Description |
| The AI Knowledge Desert |
How the collapse of local journalism creates AI knowledge gaps. 213 news desert counties, 50 million Americans affected. Maps our experiment data to the local news crisis. |
| Schema Improvement Recommendations |
10 enhancements identified from experiment observations. Priority-ranked with effort/impact analysis. Includes the “school lunch” discovery finding. |
Design & Concepts
| Document |
Description |
| Political Tools Design |
7 tools designed for political campaigns: .well-known/ai generator, identity contract, data wallet, AI report card, campaign dashboard, AI monitor, voter info API. |
| AI Debate Platform Concept |
Two candidates with verified data. AI argues both positions from signed sources. Voters ask questions and see both sides. Interactive, on-demand, 24/7. |
Demo Files
All documents are open for review and discussion. Research methodology, scoring rubrics, and raw data are included in each file.
Questions or feedback: info@rootz.global
