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 →

Fred Stevens-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.

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Answered produced feed D 5 · C 5 · P 5 · Cm 4 4.85

Q And is this, so, uh, I want to understand how the tech works on your end. Is it, I mean, have you written code that auto tests if then statements kind of per each customer in terms of when they're pushing yourself, or do you have a human, it's humans?

A So it's, it's, it's what you would think of as human assisted AI. Um, so a way, a good metaphor is kind of Uber. Um, so when you're a customer of ours, you have a test suite. Typically customers have a couple of hundred tests. You run your test suite. Uh, when you run it, we send a big swarm of humans at you. It might be 500, might be 2000 over the course of about 30 minutes and they test all of those flows in parallel. And so it's basically like that AWS concept where you want a thousand servers and then you want zero servers. You know what it means? You have this very spiky demand curve, same on QA. Exactly. And then we, um, on top of that, we, we've building a self-driving tester. So Um, around a quarter of our, our results right now are being, um, augmented with a robot tester alongside the human testers. And the plan for us over time, as you might imagine, is to phase more and more of our testing into this kind of self-driving robot tester.

AI assessment note: “it's what you would think of as human assisted AI.”

Answered produced feed D 5 · C 5 · P 4 · Cm 4 4.60

Q And so you were out of university. Was this your first kind of gig, or had you worked in corporate and saved up a cushy salary so you could afford to take a risk?

A Hell no, man. That's, that's such a, uh, am I allowed to swear on this? Mm-hmm. That's such a bullshit narrative as well. Like all of my friends that told themselves that they were going to do that, they're still in those corporate jobs. Um, no, not at all. So I, I had a place on a large financial institutions graduate scheme after university and a week before I was due to start, I was like, fuck this. I'm not going to do this. And I moved to Berlin with a friend. We started a marketing agency. And so, from the ages of, like, 21 to 25, I was just basically being scrappy, doing small business, making a bunch of money, having a bunch of fun, but realizing, for me, what I was kind of meant to do in life, and I realized that was scaling an organization very quickly to a large, you know, large revenue, large number of people. That's kind of what turns me on. That's what gets me excited, and that's why I kind of started doing startups.

AI assessment note: “I had a place on a large financial institutions graduate scheme after university”

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