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 →

Amit Zavery 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 4 · C 4 · P 3 · Cm 4 3.75

Q eat software companies like yours, where, um, we're in this sort of, it's called the sasspocalypse, where, you know, why is there a software company providing these services? AI will just do it on its own and then therefore Either we don't need these companies, or the customers will be able to come back And, you know, negotiate better terms because the AI can do something otherwise. Is that wrong?

A Yeah, I think there's a lot of noise out there, no doubt, right? And people are not able to understand what AI does and how it helps you and where it's going to impact you positively or negatively. So it creates a lot of confusion in everybody's mind. Buyers, customers, users, analysts, investors, and everything else. So I can understand that unawareness creating that anxiety level higher. The reality is a software company like ours, and we have been investing in AI for quite a few years already, so it's not like AI suddenly we woke up and said there's AI. Our products and technology has been evolving over the last many years to be AI first and AI native. So we're using AI as a tailwind to really improve how we deliver new technologies to our customers while keeping the safeguards and the, and the guardrails and things like that so the customers don't land up having issues around security. Or compliance, or audit, and things like that, right? So today, enterprise customers are very different than consumers. And what happens when people talk about AI today, you know, in consumer world, you can just go to a different website and say, I'm using somebody else's product. Enterprises don't work that way. There are hundreds of years of technology, which they've built out over time. They've taken a lot of new products and investing into it and integrating into the existing environments…

AI assessment note: “The reality is a software company like ours... we're using AI as a tailwind”

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