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 raw tape
D 5 · C 5 · P 4 · Cm 4 4.60
Q I mean, to me, like, Showing this gives the engineer a complete mental model of what you've done, what you can do with it. For example, the first thing I, I look for a mental checklist of things, right? Like is off in the database. Off looks like it's not, right? So that's a separate layer. That's probably means it's hard to do multi-user apps on the same app, right?
A So you actually, we've solved that. So, um, yes, the platform builds in off. So you as a user sign into the platform. If you're using an agent that was published by someone else, then your identity is, is kind of taken care of by the system. And when you query the database, you're going to get the stuff that is for you, unless the builder specifically said this is public data that everyone should see. So they, they actually get a chance to think about that. And again, sidekick can guide you through building, uh, agents and apps that work that way. So you're right. That's another thing that people have to think about when they're trying to figure out how to build software experiences on dreamer. You, it's built in, you talk to the sidekick as if it were a human being about what you want, and that's what you get. So, you know, my, my big sky app that I just showed you, that was designed for multiple people to use it. And of course the things that we were putting in as expenses were supposed to be visible to everybody. And I just told the sidekick, that's the way I wanted it. Uh, but by default, if I built an app like that, the data from each user would not have been visible to the others.
AI assessment note: “we've solved that. So, um, yes, the platform builds in off.”
Answered raw tape
D 5 · C 5 · P 4 · Cm 4 4.60
Q Yeah, exactly. Um, and then I think, how's hiring changed? Yeah, you've hired plenty of software engineers in your life. I assume something's changed.
A Yeah, absolutely. So one of the main things that I look for now when hiring engineers is how well do you work with coding agents? Our team actually is quite experienced. A good number, everyone at Dreamer, other than, well, I guess I write a lot of code too, everyone's an IC, an individual contributor. Many of the folks that work on the team have previously been managers, and it turns out being an engineering manager, as long as you stay very close to the code and are able to continue to craft it yourself, Is actually a great skill profile for being able to make agents work for you and for your team in this, uh, in this age. And so that's definitely something that we look for quite intently when hiring engineers. And, um, we still have folks write some code like with their fingers. It's just important to know that the kind of core of the craft is there, but the vast majority of what we spend time doing is building quite significant and elaborate stuff together in a fun collaborative environment with coding agents.
AI assessment note: “one of the main things that I look for now when hiring engineers is”
Partly raw tape
D 3 · C 3 · P 3 · Cm 2 2.85
Q Just a quick question on that one is, there's, it may not come up again. Do you find enrichment APIs to be useful, like the ZoomInfo? Clearbit.
A Enrichment is a very common use case on Dreamer. Any application on Dreamer can kick off a sub-agent to do a particular task. Um, so this actually is a powerful agentic harness that runs inside of its own VM. We call them sidekick tasks because they actually run in the context of the sidekick. I'll talk more about sidekick in a second. And enrichment is a very common use case. And the cool thing about a sidekick task is that it has access to all the tools in the platform, but also public data as well. And so very frequently enrichment on our platform happens using public data that it can be found in the web. There are some tools for getting people data, Uh, from, uh, from various bespoke systems, and so that works pretty well, but actually you'd be surprised. I mean, we would love if someone out there would like to build a zoom info tool. We don't have one today. We'd love to see that on the platform, and I'm sure it will be very powerful, but we're also seeing that this powerful agentic harness can pull a lot of data in. You know, on that note of tools that make experiences better, we're constantly adding more tools because people in the community are building them and publishing them. We review the tools carefully, and then they go live for everybody. Yesterday, we added granola. And that was pretty cool. So I was talking to actually, uh, Sarah on my team was talking to, uh, …
AI assessment note: “we would love if someone out there would like to build a zoom info tool.”
Redirected raw tape
D 2 · C 2 · P 2 · Cm 2 2.00
Q Yeah. Um, so one of the things I'm pursuing, and I have a lot of thesis, right? One of the thesis is like, does Git go away? Does GitHub go away? And like, what, what is the AI out of read-read?
A For what it's worth, To some extent, in anything you build, there's a lot of path dependency. If we started over, we might make this Git. There's, you know, within the company, we use, uh, Git for our, you know, platform source code, and we like it, and it works well with coding agents as well. The very first versions of this, we wanted to be able to make it possible for the sidekick to manipulate it easily, um, and this, this was an expedient way to do it. Yeah. Um, you can also see all the activity that has happened in the workflows that you build. A lot of agents you'll build on Dreamer Do things in the background. So they run on triggers. These are stimuli from the outside to kick them off. And this is a nice way to see all of the things that might've kicked off your agent. You know, you can have an agent that kicks off on a web hook, so you can plug it into external systems. You can have an agent that runs when you receive certain emails that match filters, including LLM filters. And so here you can see, oh, when did it run? What did it do? You know, if I open up one of these guide me prompts or guide me, uh, if I can see it. I told you it was calling an LLM for every one of those time slots. Here's all of the LLM calls. Here's the actual prompts.
AI assessment note: “A lot of agents you'll build on Dreamer Do things in the background.”
