The system searches academic databases for papers matching your topics and logs titles, authors, and abstracts into a spreadsheet.
A straight line. Runs once per each paper found.
Pattern: Sequence (1) ยท Multiple Instances with a priori Design-Time Knowledge (13)
Keeping up with new research means checking multiple academic databases by hand, copying titles and abstracts into your own notes, and hoping you didn't miss a relevant paper. That manual search eats into time you'd rather spend actually reading and applying the research.
Researchers, students, and research teams tracking a specific field or topic.
You get every new paper on your chosen topics organized into one spreadsheet, complete with authors and abstracts ready to scan.
The hard question is not how to build it. It is whether this is the right thing to build first.
That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.
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