Why ProfileScribe keeps fact extraction separate from published claims
Abstracts
Abstracts
A lot of profile automation fails for a simple reason: it blurs raw evidence with the claims built on top of it. In ProfileScribe, the crawler agent prototype fetches approved public links and extracts timestamped facts first, before anything reaches professional memory. Those facts sit in a review queue rather than going straight to a public profile.
That separation is the point. It means updates can be checked against the underlying source before they're published, instead of trusting a model's summary on faith. It's a narrower kind of AI system than most "autonomous" pitches, but it's the part that makes the output something a person can actually stand behind.