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 →

Mark Smith 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.

clear all ✕
1exchanges match
0on raw tape
0redirected or not addressed
Answered produced feed D 5 · C 5 · P 5 · Cm 4 4.85

Q Okay. How did you do that? Did you use your media business to close those customers quick?

A Um, yeah, actually what happened was we, uh, when we started, it was just an idea. We did, uh, have a third party company build a basic level model on leak detection. Then literally in the first month I did a webinar with FLIR. FLIR is the market leader in this category. They invited their customers. Every one of the customers that was invited was a purchaser of one of their previous cameras. FLIR recognized us as their AI partner and boom, we picked up our first client who then paid us to do those models as well as 10 other models. So now the, the, the big idea is we're now selling a suite of models that we call autonomous three 65.

AI assessment note: “in the first month I did a webinar with FLIR”

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