yash samat

This tool addresses a fundamental challenge in modern governance: making complex policy documents accessible to different audiences without losing accuracy or context.

Core Problem:

Most people encounter policy as noise - dense, technical documents filled with legal jargon that are nearly impossible to understand without specialized knowledge. This creates a significant barrier to civic engagement and informed decision-making.

Solution Approach:

The AI Policy Simplifier uses generative AI to convert complex policy PDFs into tiered explanations tailored to different reading levels, from high school students to professional economists. Each explanation maintains faithfulness to the source material while using appropriate language and context for the target audience.

Technical Architecture:

The system processes documents through several stages:

• PDF Processing - Extracts text while preserving page citations for source tracking • Intelligent Chunking - Splits documents into token-aware segments to maintain context • Tiered Generation - Creates explanations for different audience comprehension levels • Content Synthesis - Merges segment outputs into cohesive, de-duplicated summaries • Persona Customization - Generates "What this means for you" sections based on user profiles

Quality Assurance:

The system includes strict guardrails to prevent hallucination and ensure accuracy:

No factual information beyond the uploaded source material
Page-level citations for all claims and statements
Explicit "Not specified" responses when information is missing
Transparent uncertainty indicators for ambiguous content

Applications:

This tool demonstrates how AI can bridge the gap between technical governance and public understanding, enabling more informed citizen participation and better policy communication across diverse audiences.

The modular architecture allows for easy extension to different document types and languages, making it a scalable solution for improving policy accessibility worldwide.