Research Automation
Automates literature review and gap-finding across dozens of sources.
The problem
Literature review and gap-finding for research work is slow, repetitive, and easy to do inconsistently. The same search, read, and summarize loop repeats across dozens of sources, and it’s easy to lose track of what’s already been covered versus what’s actually new.
The approach
Built a system that structures the research loop itself: pulling and organizing sources, surfacing where the literature actually disagrees or falls short, and producing a structured starting point, not a finished answer, instead of a blank page.
What it taught me
AI is good at summarizing a single paper. It’s much harder, and much more valuable, to get it to reliably spot where a field has a genuine gap versus where a topic just looks unexplored because nobody searched for it properly.
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