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.
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Answered produced feed
D 5 · C 5 · P 5 · Cm 4 4.85
Q And what was the, so I want to kind of dig more into your history. These companies, I mean, are these gaming companies, like the names would suggest?
A Um, you know, yes and no. So I, I have worked at an actual gaming company. Most of my life has been, you know, except for the last eight years, was focused on media and other elements related to gaming. So I started out at IDG as a magazine publisher, originally on the technical side, and then into, in the multimedia space. That's what brought me into gaming, because games were the applications that really have always stretched Um, the most stretched our PCs and our phones the most in terms of, you know, requirements for new features, which back then was sound and CD-ROM. Um, so GameSpot was the first really professional online reviews site for games. Um, GameSpy had a, uh, editorial element and also published content about games, but it also had middleware and a software client, um, that was used for matching up players in server-to-server gameplay. These days, online gaming is, you know, par for the Of course, but back then, um, you know, it was, uh, people were playing Quake and Doom, and it was kind of hard to find players, uh, if they weren't on your LAN. And so GameSpy had a really great piece of software that we then ended up licensing into games from folks like Electronic Arts, um, and, uh, to K games and many other.
AI assessment note: “yes and no. So I, I have worked at an actual gaming company.”
Answered produced feed
D 4 · C 5 · P 4 · Cm 4 4.30
Q That's great. That's great. What about in terms of customer acquisition cost? Is this just you and a team of inside sales people going out? Are you doing any paid media stuff? What's It costs you to acquire one of these 25 customers.
A Um, so we're still working on that. The most effective vehicle has actually been conversion-specific trade shows. Um, we also have built a partner channel. There's a lot of agencies and consultancies that specialize in conversion optimization that have the ideas, the strategies that are the raw fuel that powers our AI. And so they've also been a very effective and free, if you would, source of, of leads and referrals. A lot of our trials are coming in from that, that channel. We do do some paid advertising, mainly in the search advertising, but, but, uh, If there's a good conversion conference, uh, you know, we, uh, we go to it, we have three in the next 30 days.
AI assessment note: “we're still working on that. The most effective vehicle has actually been conversion-specific trade shows”
Answered produced feed
D 3 · C 4 · P 4 · Cm 3 3.55
Q That's fine. Well, so tell me, tell me John, cause we're running out of time here. Okay. So I want to dial in on this real quick. How does Sentee, the thing you focus on at Sentee, how does it make money? What's the revenue model?
A All right. So it's a SAS product. And it's disrupting the world of A-B testing and website optimization. It uses the same evolutionary approach to allow, you know, all companies that are doing business on the web or through mobile web, you know, rely on some conversion event and they, maybe they're selling something, maybe they're signing up a lead or something like that, selling that lead or just using it for their own sales. And A-B testing is a, you know, it's what smart companies have been doing so far. To improve the performance of their websites, but it's slow, and it's manual, and using this evolutionary AI approach, rather than test one idea at a time, or maybe a couple, our clients are testing anywhere between 10 and 50 different changes to their website funnels all at once, and not just the individual changes, the AI is solving what's the best combination of those changes to achieve the goal that you set for higher sales, for example, higher conversions. And so our clients are looking, they're, you know, they're, they're testing anywhere between a few hundred and millions of different designs. And within a couple months achieving, you know, 10 to 50 to sometimes, you know, 200% gains in their, their core, uh, KPIs.
AI assessment note: “So it's a SAS product. And it's disrupting the world of A-B testing”
Partly produced feed
D 3 · C 3 · P 4 · Cm 3 3.25
Q And then fast forward now to, to Sentient. So what does Sentient do and what's the revenue model?
A Yeah, so Sentient is, uh, has been around for nine years. It's, uh, one of the best funded companies in the AI business. You know, just to give you a little, you know, I'd taken a few years off from operations. I was an executive recruiter. It was a fascinating way to meet, you know, super talented, top level people, build out my network, and Sentient was one of my clients. Uh, the guy with whom I did the original AOL cover mount deal went back in PC world was, uh, was there. And I fell in love with this company because, um, the, you know, to the extent one's goal is to be on the leading edge, there's nothing more leading edge these days than artificial intelligence. So, Asentient has built a very powerful AI platform. It's a, it, it, its focus is on AI at scale. It's able to run, you know, AI problems across millions of CPUs and thousands of GPUs using a proprietary distributed computing middleware layer.
AI assessment note: “Asentient has built a very powerful AI platform. It's a, it, it, its focus”
