The system searches for new research papers each week and has AI score which ones are worth your time to read.
It branches. Exactly one path is taken; runs once per each new paper found.
Pattern: Exclusive Choice (4) · Multiple Instances with a priori Design-Time Knowledge (13)
Keeping up with new research in your field means scanning dozens of new papers every week just to find the handful worth reading. Without a filter, you either skip the search entirely or spend hours sifting through low-value results.
Researchers, analysts, and product teams tracking a specific field of study.
You get a weekly list of new research papers already scored for relevance, so you know which ones deserve your attention.
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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