Research / Intelligence Automation System
Prototype for collecting, organizing and summarizing research into structured outputs.
AI Research workflows Data extraction Summarization
Role
Prototype design
Problem
Research workflows often produce scattered notes and summaries that are hard to reuse for analysis or decisions.
What I developed
A pipeline that collects sources, organizes extracted information and produces structured summaries for review.
Architecture
Source intake → extraction layer → organization / tagging → summarization → structured output for review.
What it handled
Information collection, extraction, organization and AI-assisted summarization into structured formats.
Key decisions
- Optimize for structured outputs, not open-ended notes
- Keep human review in the pipeline
- Separate extraction from summarization
Evidence available
Internal prototype · summary documentation in progress
Limitations
Early prototype. Public repo, screenshots and detailed case study materials are still being confirmed.