Context-Aware AI Highlight Assistant for Research Analysts
Research analysts spend hours switching between documents, browsers, and AI tools to understand complex content. BuddAI lets users highlight text anywhere and get instant AI explanations, but the deeper opportunity is a research-grade context accumulator that builds understanding across multiple highlighted passages within a research session.
Problem Statement
Research analysts read 15-30 documents per project, manually tracking key points across sources. They copy-paste excerpts into ChatGPT repeatedly, losing session context each time. The cognitive overhead of synthesizing findings across multiple PDFs, web pages, and reports wastes 8-12 hours per research project.
The Idea
A research-grade AI assistant that accumulates context from highlighted passages across documents, building a session-level knowledge graph for analysts working through complex multi-source research.
Why Now
Knowledge workers process 40% more documents than five years ago. Desktop AI assistants prove the UX pattern works (highlight → understand), but none build cumulative context across a research session or connect insights between sources.
Target User
Research analysts, policy researchers, competitive intelligence teams
Target Market
Professional research teams in consulting, finance, and policy organizations
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- Step-by-step validation plan
- Score rationale across 11 dimensions
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