The Exchanges

Every argument clarity score on this site is built from rows on this page. Each question and answer was assessed with names hidden, the host's own answers included, on four things from 1 to 5: directness (does it answer the question asked), coherence (do the ideas follow), precision (concrete details and clear references), compression (says a lot per word). The weighted mix (30/30/25/15) is the exchange score. A person's published score averages their exchange scores on raw tape only, at least 8 of them, shrunk toward the cohort mean. Full method →

Søren Munk Hansen no published score: no usable exchanges on raw tape, and a fair score needs 8+ record → ← everyone

Every exchange below was scored with names hidden, four dimensions each from 1 to 5. An exchange's score is 0.30·directness + 0.30·coherence + 0.25·precision + 0.15·compression. The published score averages the raw tape exchange scores and shrinks small samples toward the cohort mean, so five great answers can't beat twenty good ones. Produced feed rows count only toward coarse estimates, never toward a full score.

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1exchanges match
0on raw tape
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Partly produced feed D 3 · C 5 · P 4 · Cm 4 4.00

Q All right. Tell me about Arki. What's the company doing? How do you make money?

A So, Archie is an AI-based company secretary that automatically finds, reads, and organizes companies' financial and legal documents. So the problem today is that most businesses have their documents scattered across different drives in Dropbox, G drive, email attachments, etc. And the reason for this is usually that, I mean, document organization, no matter how cool the system you got, it ultimately relies on human behavior. So your own preference for file names, folder names, taxonomy, etc. dictates where the documents end up, and most people are just a bit lazy when it comes to actually filing correctly, meaning that everything ends up everywhere. That is the problem we're targeting. What we, what we look into here is the company wastes, uh, an average employee wastes 3.5 hours per week on actually organizing and looking for documents. There is a risk of not having control of your legal and financial documents, obviously. And lastly, there is the compliance issue that even though you don't like to, you actually have to get the control of your legal financial documents. And we solved that by applying machine learning to actually look through your drives, the drives that you invite us into, you're obviously in full control here, and say, hey, Aki, please take a look at my email attachments, please look at my Dropbox, please look at my G-Drive, please look at my desktop, and Aki…

AI assessment note: “Archie is an AI-based company secretary that automatically finds, reads, and organizes”

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