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 →

Nick Vasilescu no published score: only 5 usable exchanges on raw tape, and a fair score needs 8+ · coarse estimate ≈4.0/5 from 5 raw tape exchanges 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 5 · C 4 · P 4 · Cm 4 4.30

Q Crazy, dude. Crazy. Anything else you want to cover before we head out?

A Yeah, I think, um, as far as other things to cover, I mean, I, I just want people to start thinking about these tools, you know, yes, they're, once again, they're great personal assistants, but if you start thinking of OpenClaw as an N-A-N, or you start thinking of it as, um, you know, like a Lindy AI of like, you know, people, there are real businesses right now, like we can go to Upwork right now and find jobs that are being posted around You know, things like this is what you do. You just go to Upwork. Upwork's great because you get to see what the market's asking for, and you just type in, ah, robotic process automation. You know, this old outdated way of, of programmatically automating tasks that is like clunky, and it breaks, and it's not intelligent. If the button isn't in the exact UI space that you just delegated it to, it won't work. And you go here, look, posted yesterday. Android RPA automation posted yesterday. Automation pipeline for client upload. You go here, you could just do, let's, let's find 500 dollar, 1000 dollar, 5000 dollar. Let's look at all these projects. Okay. This one, boom, right here. Um, 1000 dollar budget. I'm looking for experienced automation engineer to build desktop automation computer use, uh, for my software business. We sell a specialized dynamic PDF. You take all this context, Give it to OpenClaw. Give it to CloudCode. How much of it can…

AI assessment note: “as far as other things to cover, I mean, I, I just want people”

Answered raw tape D 5 · C 4 · P 4 · Cm 3 4.15

Q I know, I know you're a co-founder of Orgo, but if, you know, there's Orgo and if they didn't, you know, what's the alternative to Orgo? Just setting it up on a local machine or how should people think about it?

A Yeah. You can set it up on your local machine. I, I, I mean, I don't, I don't like doing that with Hermes or OpenClock because the minute you turn your computer off, all of a sudden your, your agent is off. You can't text it. So you can set it up on other cloud providers. There's companies like Hostinger or Hertzner. Um, I'm obviously biased, but we generally, I think we really do make the simplest, easiest way to spin it up. You can see here, we have a template option and we just have a template out of the box to spin up a Hermes open clock, Claude code, and then build your own templates. I have my own template, like my Nick stack, which has all my connectors. And by the way, I'll include this in the, I'll, I'll give this to your, everyone have access to, um, so they can spin up an Orgo template using my stack and everything that I'm going to talk about today. You don't have to configure it yourself. You'll just be able to use my stack and spin up a template in Orgo. So yeah, a bunch of options out there for kind of where these agents live. Um, and the biggest thing is I just love the ability to tell my, my, uh, my Hermes agent, my Dewey, uh, Hey, spin up a new computer with a Hermes agent inside of it configured with Grok 4.5, and it'll do that in the same workspace. Should I show you that? Should I show you that?

AI assessment note: “So you can set it up on other cloud providers. There's companies like Hostinger or Hertzner.”

Answered raw tape D 4 · C 4 · P 4 · Cm 4 4.00

Q So on this fig gem, like what am I looking at exactly?

A Yeah. So here I'm just kind of trying to demonstrate a lot of people when they think of something like Hermes or OpenClaw, the first place that their mind goes to is automation and just like, I could be hands off and things are just going to be solved for me. And I think that's great and that's fine and all, but I actually think it's like the wrong frame of mind. And let me tell you why. I think with automations, we've had automations for a while now, like even pre AI, We've been able to automate tasks and, and, and create kind of workflows and deterministic pipelines of like things that could be automated, quote unquote. But to me, like, that's not the big unlock of something like Hermes and OpenClaw. To me, the unlock is I genuinely feel like I have an AI co-founder who A, has access to all the different tools that matter to me and all the different contexts and all the, just everything that would make Uh, a co-founder. Great. Uh, like in terms of capability, that's what Hermes today, my Hermes has access to. His name is Dewey and Dewey has his own computer, his own email, his own phone number, his own debit card, uh, of course his obsidian vault. And I think people need to stop being so shy about the tools that they're giving their, their agent, because the minute you give it more of these tools and connectors and capabilities, That's when the magic really comes out. And the…

AI assessment note: “here I'm just kind of trying to demonstrate a lot of people when they think”

Answered raw tape D 4 · C 4 · P 4 · Cm 3 3.85

Q You know, you talked earlier about sub agents. I think a lot of people are confused about what is a sub agent versus a task and stuff like that. Can you just Clearly explain that?

A Yeah, um, so sub-agents are, um, I, I, there's a couple ways to view them, right? So like, in the context of, because they're, and the reason I say there's a couple ways to view them is because there's a couple ways of using them. So, in the context of like OpenClaw, you can ask it to spin up five research sub-agents that all go and research some given task, and, and like, and, you know, like I said earlier, you could, you could have it Parallelize that task across, you know, splitting it up across each sub-agent or having each sub-agent actually go and do the same task, you know, across five different instances. But the next thing around sub-agents is that you can actually, like you said, um, maybe think of them in terms of skills. So if you're familiar with anthropic skills, um, you can have like these specialized instructions and rules Along with actual code that you can provide to your agent for it to be able to go and do a given task. And this is really nice, um, because it, you know, it gives you a very more, uh, a very more powerful general purpose agent that can do many of your specific nuance tasks, um, across various domains. But the thing is, it's like, I want my general agent to be freed up And, uh, to more so just be the orchestrator. And what if the, the general agent, this one, right? The, the one I have start here can just call a sub agent like worker number fou…

AI assessment note: “you can ask it to spin up five research sub-agents that all go and research”

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

Q So, which is, which is kind of hilarious, because I mean, Upwork, You know, is designed for human beings to complete work, right? It's not designed for machines, let alone multiple machines to complete work. Um, but I mean, as long as the quality of work is good, um, you know, customers going to be happy, right?

A Yeah. And I think like, it's good to, you know, it's good to treat it as the, as a starting point. Like, you know, if you can save time preparing a proposal for a job on Upwork, it's like, um, what is that worth? You know, and if you could do just a hundred X volume, uh, what is that worth? So there's a couple things on that of like the parallelization of work with open clause. So there's like, could you have 10 open clause working on a given task and it breaks up that tasks into 10 sub tasks. And so each open claw does one of those subtasks. That's one way of having parallelization. But another way is to have 10 open claws working on the same task, uh, just 10 different instances of it. And that was kind of like what I was doing here. It's, you know, four different instances of the one open claw, you know, or four different open claws doing the same thing of looking up different jobs on Upwork that they could apply to. So that's kind of an interesting topic there. Um, But yeah, so like as far as OpenClaw goes, it's, it's, it's a huge opportunity. I just want to like throw this in here. Andreessen Horowitz talks about computer use agents. I view OpenClaw as a computer use agent. You know, you're giving an agent a computer and it's able to do, it's able to use that computer. It's like, it's a computer use agent, but that's half the story. The other half of the story is for it to…

AI assessment note: “Yeah. And I think like, it's good to, you know, it's good to treat it as the, as a starting point.”

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