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 →

Aytekin Tank no published score: only 1 usable exchange 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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Answered raw tape D 5 · C 5 · P 4 · Cm 4 4.60

Q works practically. It's like a CAI CEO is going to actually show the product, which is always cool. Before we get into that, I have to ask you a question because this is sort of stuck with me since you said it, you built a AI product basically for form, uh, completion and your customers then sort of hacked it to do customer service. I mean, how did this happen?

A It's actually like, even from day one, we had the customer service aspects, but we were thinking, okay, when people are filling out, filling out the forms, they're going to also have like questions. Like they are going to, so we have, from the beginning, we had the knowledge base aspects of the product, uh, in place. So you could upload like documents. Uh, you could give URL of your website so that we can crawl your website and learn from it. Uh, you can, uh, answer, like, questions and answers. You can just train. We even implemented this feature where you can actually talk to your own agent directly and train it, and it's asking you question, like, what if someone asks this question? You can role play with your, uh, agent.

AI assessment note: “even from day one, we had the customer service aspects”

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