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 →

Kyle Daigle no published score: only 2 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 ✕
2exchanges match
2on raw tape
0redirected or not addressed
Answered raw tape D 4 · C 4 · P 4 · Cm 3 3.85

Q Anyway, so, um, Yeah, this is one of those, like, download, uh, download anything, transcribe anything, and then you can string together the atomic skills that do one thing well into, like, some kind of orchestration skill that calls other skills. I assume, uh, does that match?

A Uh, yeah, I, I think so. I think that the, the... Summarize anything? Totally. Like, I think the... For me, summarizing something for, uh, like, you know, I do communications and PR and analyst relations and marketing and customer activities. And so my summarize everything is very different for each one of those like contexts, you know what I mean? Cause if I'm summarizing something for an analyst, that's a very different thing than I'm probably how I'm going to summarize something for like a customer meeting or an engagement. So that's, I think like the difference when we're talking about the. Um, like the tools I might use on Saturday, you know, or the skills I might use on a Saturday when it's just for Kyle.

AI assessment note: “Uh, yeah, I, I think so. I think that the, the... Summarize anything? Totally.”

Answered raw tape D 3 · C 4 · P 4 · Cm 3 3.55

Q Do you like the prompt request idea from Peter?

A I mean, like, I think that for each, uh, like, each idea I think has its merits. Like, I'm not, I'm not avoiding saying anything good or bad, but I feel like I've seen a version of, you know, uh, we have that, we have, you know, um, uh, uh, in entire, you know, Thomas's, you know, uh, uh, startup. Take all the assets of what you've built and put that in. I think that's got great ideas. Like there's all these various permutations of the PR flow, but I think the reason why there's not a single answer is ultimately we're trying to codify trust. We're trying to say like, okay, if Sean reviews this, I'm going to trust it because you're Sean or you're the senior dev or you're the whatever. And right now when we are working in a flow where an agent writes code and another agent reviews code, and then Kyle goes and looks at it. The trust is kind of diffuse. Uh, in most of the tools that we're talking about are talking more about verification flows. We have more assets to look at. So I can probably say whether this is a good PR or not, but that still doesn't solve. I think the human problem of I'm looking at a PR and I want to know if I can trust it. And we're still, we still tend to use human signals for that, you know, uh, Mitchell approving it or Kyle approving it or whatever. And so I, I, Think that's, I think that's why most of these, uh, options haven't really solved it is because…

AI assessment note: “each idea I think has its merits. Like, I'm not, I'm not avoiding”

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