Alex (2:24)

Then we have Ryan Yannelli, the founder of Next Visit. He won our recent Gamma pitch competition, so he might look familiar to you. NextView is an AI powered clinical documentation platform for psychiatrists. You can kind of imagine how agentic automation might play in there. Ryan, welcome back.

Ryan Yannelli (2:41)

Thank you for having me again.

Alex (2:43)

And calling in all the way from Europe, it's Jason Grant, the founder of Massive, a company that I covered their funding round back in the day. As it turns out, Massive helps companies gather public data from around the world which they can then bring to bear on their own AI use case. And he recently launched something called Claw Pod that we're going to talk about. Jason, welcome to the show.

Jason Grant (3:02)

Great to be here. Thanks for having me.

Alex (3:03)

I'm so excited to have you all here because I have been spending my time deep in the open claw minds burning tokens and basically trashing my family's finances. But we're going to start with the average person today. We're going to talk about going mainstream. So there's conversation about how if OpenClaw was appified, if you will, it would immediately shoot to the top of the App Store and everyone would love to do it. But it still feels to me that openclaw is far too complicated for the average person to set up. So Matt, you've been doing a lot of work helping people understand this. Where's the average person in terms of readiness to adopt OpenClaw and what's holding them back?

Matthew Berman (3:38)

I don't think it's quite there. I think this is really a tinkerer's dream. Right now you have to install it locally. You're still trying to iterate rapidly, figure out what works, what doesn't work. There's still so much discovery, but for the average person that just wants a one click install and everything to just work, it's not quite there yet. I think Google actually probably has the biggest opportunity to do this right. They have all the data, they have so many different services that they offer with Gmail and Calendar and Drive and if they just continued to push forward as they have been and maybe even take a little bit of the red tape off and allow you to plug in your different services and I think they would probably be able to deliver.

Alex (4:21)

Something incredible, but the security concerns wouldn't be solved just by having access to all that information. So do you think that Google has the will to actually go forth and build something that forward looking or are they more conservative and therefore going to wait for someone else to take the baton?

Matthew Berman (4:35)

If you asked me that 18 months ago, I would have said they're not going to be able to get out of their way. But now, looking at just how far the Gemini series of models have come, how deeply integrated it is into every single product and service that they offer, I do think there's an opportunity there. Obviously, being a multi trillion dollar public company, they have to think about the security and there are still a lot of security issues. Now the, the thing about that is if you're plugging in a bunch of different Google services and it's all within their, it's all within their cloud, they probably can lock down that security pretty well. But then you're very limited in what you can do with an, you know, a one click open claw type system. So you still need to connect other services and I still do think Google can do it.

Alex (5:21)

Yeah. Jason, the mobile comment is very interesting to me because when I think about my phone, I'm an iPhone guy. I guess I should admit that up top here, it's amazing how the AI world seems to have absolutely missed the operating system layer and instead it's occasionally an app that I pull up on my phone. But if you think about it, given what we can now do with OpenClaw on our computers, it feels really backwards to me. Am I being too impatient?

Jason Grant (5:44)

I mean, first of all, I think the people that have adopted this, there's a lot of really vocal early adopters and we've been speaking with people that use Clawpod and they're super excited to be testing stuff out. And this is a very small group of people who are very loud or like hobbyists, a lot of small business owners, a lot of people who help businesses set up workflows and then some, you know, some people intact to pay on how much work they have with their kind of normal jobs. I don't think your background like backward personally. I mean we're seeing, or if you've been claw pilled, as I guess you guys are saying here, we're seeing that all you need to do is give your machine a set of instructions. We don't need this whole layer of ui, bloated apps, different types of weird experiences as a user anymore. I just want to have stuff run, have context from wherever I store some information and then do something because it has access to do something else. I don't need to click into or have a screen full of hundreds of apps that I can't find any app. I don't need a thousand tabs open on my computer. I don't need another thousand apps that I'm installing on my computer and I'm dealing with this. All I Need is really, you know, a skill that says what to do and gives me access.

Alex (7:01)

Ryan, do you think we're going to get there at the OS level or do you think that applications will for the now, for the next, I don't know, say six or 12 months, maintain their kind of preeminence on the consumer side as we consider agentic automation, viz. Openclaw and it's other tools out there that are related.

Ryan Yannelli (7:18)

I think a lot of it's just going to be app based for now. It's just I see openclaw giving people that didn't have access to a tool or workflow utility before to have access to AI in these complicated tools and kind of give them that simple interface. Although it's not simple yet to set.

Alex (7:37)

Up on the setup point though. Matt. So one thing that you do on your channel that I really like is you break down kind of like what people can do with OpenCloud, kind of giving them a blueprint for getting started and getting set up. When talk to people out there who are watching your stuff, where do they get stuck going from? Okay, I want to try this out. I've heard about it to. I can't quite make it work. Where do they. Where's the, where's the falling down point, if you will?

Matthew Berman (7:58)

Actually, I actually think the falling down is kind of discovering the use cases that make sense for their life. That's why I've, I've been just exploring so many different use cases, trying to document them, trying to put them out there. People kind of understand the gist of how this works. You have a telegram or a WhatsApp personal assistant built in, stored locally on your computer. You can do anything with it. But what is that anything? And I think like discovering what those actual use cases are, those are the questions that I personally get all the time. Not only from folks who watch my videos, but also my friends who are technical enough to get this installed.

Alex (8:30)

I see. And what percentage of your friends do you think are technical enough to get this installed? Just if you had to put a.

Matthew Berman (8:35)

Number on it for fun, 10% and you know, when quote unquote normies. I don't, I don't think it's quite ready for them yet. Again, like if you can, if you can vibe code, if you are decent at vibe coding, you can absolutely use openclaw. But I think for the vast majority of people it's not ready yet.

Alex (8:53)

Yeah, I agree with that. Jason. If you had to put a guess on how many of your friends could set up openclaw today. Friends Thinking broadly, not just your tech friends, but just your social circle. What percent could pull it off without you swooping in to save the day and help them out?

Jason Grant (9:07)

I'm running a pretty high velocity startup right now. The amount of time I'm catching up with friends is. Is limited these days.

Alex (9:13)

Sorry, I did assume you still had friends. I should have known better than asking the founder.

Jason Grant (9:18)

I have them somewhere pretty small. I mean, some people will mention it here and there as I'm. As you know, we have catch up conversations, but it's a really small percentage outside of, you know, techie, founder type friends.

Alex (9:31)

Yeah, yeah. Ryan, back to your point about, you know, sticking with apps for a while, probably for the consumer. Do you think that the an amplified open claw on, say, a mobile device would be useful given the way mobile operating systems are set up today? Because the way that I think about iOS for example, is that it's so locked down that you couldn't actually probably ape what we can do with OpenClaw on PCs on mobile today. But I just want to kind of vet that against your views here.

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Ryan Yannelli (11:12)

I think that if OpenCloud was in the form of an app app where the use cases for how it's going to be used by the average consumer are defined, kind of like what Matt said before, it's going to make it easier for a consumer to say, oh, okay, I see why I need this. And it's going to come down to, I think, like whoever is running that platform on the back end, like Google or Anthropic, wherever it might be.

Alex (11:42)

Okay, well, we'll have to see how that works out. But one thing I did see is that over on Polymarket there is people betting on this. And the reason why I'm so curious about the app side of this is there was a moment when people thought that I think an openclaw ish app would come to market and knock finally chatgpt out of the top of the App Store. And lately we've seen those numbers absolutely drop if you're on the audio version of this. Essentially the number of people who think that ChatGPT will lose its top spotters drop, dropping by double digit percentage points. So to me this implies that we're not going to have a good app version of it, which means that consumer adoption will remain slow and this is going to stay kind of a tech product for the foreseeable future. But Jason, please.

Jason Grant (12:27)

This will be a breakout success as soon as it solves a painful. Either it solves a painful enough problem for people to go through the steps of setting up and get over security risks and that converging on it becoming very easy to have your instance set up or have it set up on whatever device you want. So it's going to get both easier to implement this, but there needs to be a killer use case that brings us into the mainstream because, and by the way, because of my background, very security concern, when this came out, I immediately flagged to everyone in the company, do not install this in any work machines. Like the day I saw it because I knew there would be so much temptation.

Alex (13:06)

We're going to get to the Wired article in a second, I promise.

Jason Grant (13:08)

But yeah, but, yeah, but what I'm saying is that, yeah, I think users have thrown away their security because something solves a pain point for decades now. It's a huge problem that we all see. And so I think the use case is going to be really what brings us to the mainstream.

Alex (13:24)

I feel like we're getting really close to crypto territory here. Like what is the Use case for this awesome cool new technology. What do you think that use case, that killer use case will be, Matt? And do you think we know what it is yet?

Matthew Berman (13:36)

Yeah, I want to just actually point out Manus. Manus AI acquired by Meta. That is the reason that Metta acquired Manus. That is essentially kind of the fully hosted version of OpenClaw.

Jason Grant (13:49)

Right.

Matthew Berman (13:49)

And didn't manage at a certain point reach pretty high up in the app Store rankings.

Alex (13:54)

I don't recall. It's actually, it's App Store rankings progression but for folks listening, Manus was a Chinese AI company moved to, I think it's Singapore to re domicile and then Meta bought it for $2 billion. Matt, back me up here in the last month, month and a half.

Matthew Berman (14:08)

Yeah, very recently. And I think the point is like if you look at what Manus is capable of and when Manus first came out, it's a lot. It's kind of that very akin to what OpenClaw is able to do. OpenClaw is obviously much more configurable now because it's not fully cloud based, but I think that's Meta's plan with it. So I just wanted to bring that point back for a second and yeah, man, it's just looks like it could be maybe that first breakout Open claw.

Alex (14:32)

Ve Madness though was if memory serves, aimed at the SMB market, so aimed at small businesses versus consumers. And when I think about mainstream, to me that does imply consumer, Matt. More so than, I don't know, your average kind of mom and pop or brick and mortar.

Matthew Berman (14:48)

Yeah, actually I think that's a really good distinction. Are we talking about personal AI assistants or are we talking about AI assistants that can get knowledge work done? For me right now openclaw is doing both, which is wonderful. Manus, yes, it was much more focused on the knowledge work use case, but I think now that they've been acquired by Meta, it's much more likely that they're going to be able to service both parts of that market.

Alex (15:08)

Okay, but back to the question about what the breakout consumer use case is going to be. To Jason's point, if you had to pick like a top three thing that or top three things that someone outside of our technology bubble would want to do with it or get value from. What do you think those are?

Matthew Berman (15:25)

As soon as, as soon as these systems can actually get real world tasks done consistently, that's probably going to be it. I know that's not necessarily what you're asking. You're asking for a very specific Use case. I guess the short answer is I'm not exactly sure what that's going to be. It's probably going to be determined by what everybody needs in the moment. I think one that just comes to mind immediately is I have just complete notification overload at all times. If I had a system that was a buffer between me and all of the information that I'm getting from email, from Slack, from from everywhere, and these are personal use cases and then can maybe even triage some of those things for me, that would be an incredible time saver and maybe something broadly applicable.

Alex (16:07)

Do you think the average person has so many notifications and inbound communications that they need that? You ever look at your partner's email and so they've got like four that day and you're like, oh, we live in different worlds. Yeah.

Matthew Berman (16:17)

But then you think about Instagram and Facebook and X and it doesn't just come from email, it comes from everywhere and people are scrolling like crazy. I just think there's so much noise right now. The ability to actually filter something, noise. Plus when AI creates so much more noise because you can create any image, any video and then all of a sudden you need your own AI to filter all the noise coming through and only give you the signal. I think that's going to be a killer use case.

Alex (16:45)

All right, so on the use case front, Ryan, you sent over some notes about what you're actually using OpenClaw for and I'm just going to list out a couple of things that you mentioned to us. So start of the end of day accountability agent for yourself and your staff. Business focused, not to consumer but very cool. Weekly recaps, customer retention agents, issue tracking with auto resol, you're using OpenCloud for a bajillion different things. What's your take? And then we'll get to the business side of this in a second. But if you had to pick a consumer friendly use case, what would you say is going to be the hot ticket in the next couple quarters?

Ryan Yannelli (17:16)

I would say like the mundane tasks that you normally have to spend a little time thinking about, possibly such like picking out groceries for the week, sending out a pickup order, stuff like that would be ideal. Like I want that workflow right now but you know, right now I have automated like a lot of other stuff with my health as you may have seen in the notes and like just my daily productivity.

Alex (17:43)

Can you actually talk about your use of wearables and AI and how that impacts your daily life? And I'm going to try to not focus on your beautiful cat that is jumping around behind you, but talk to me about the health side of this and, and why you made those choices to use OpenClaw in this way.

Ryan Yannelli (17:57)

I have type 1 diabetes and it's basically, it's an autoimmune disease that takes up a lot of my time normally because it's constant adjustments, it's alarms going off and having AI to monitor my levels in real time and check to make sure the pharmacy has stuff in stock and send my orders out and prescriptions has been such a time saver to the point where I don't even have to think about management of type one anymore. It's just kind of a message on telegram once or twice a day. So it's been incredible just how AI is, how far it's come to where I can just send a message versus being on the phone for a half hour just to talk to pharmacy.

Alex (18:45)

Yeah. Is that something do you think you could set up for other people en masse or is that something that you have to do kind of individually on a per person basis? I'm just thinking about again taking cool ideas, ideas and then bringing them to as many people as possible as quickly as possible.

Ryan Yannelli (18:59)

Yeah, I love open sourcing stuff that I can so typically like this workflow. Once I'm comfortable with it, I'm going to throw it on my GitHub and let other people use it if they want to. I love sharing that stuff.

Alex (19:13)

Oh, I absolutely love that. All right. And on the subject of putting things up on the Internet for people to use, Jason, I do want to turn to some business stuff here, some tactical and practical for the founders. I want to talk about clapod, but first, actually I think we should pause and let you talk about MASV and what it does and then we'll get into the stuff. But give us some background, fill in the blanks for the folks out there who are not familiar with what you're working on.

Jason Grant (19:34)

Yeah, sure. Massive is built in opt in ethically sourced residential proxy infrastructure of millions of users and their devices around the world. And we make it easy for all of our clients to access the web at a a large or a massive scale. And so, you know, we're solving the same problem that with Massive that we want to solve for cloud pod users is that the web wasn't built for machines, it was built for humans. And now this AI revolution has come and humans are realizing all these crazy things that we can do on the web and that we can have agents do it for Us. I don't want to be doing this stuff.

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Jason Grant (21:17)

For a lot of people, they want their computers to work for them and then they could do what they love. For me, I want the same, but I love working, so it just means I can be more productive. And it's kind of crazy that we still see these problems when we're using LLMs every day, like can I access that site? Or I can't access that content? And this seems like such a solvable problem. It's a solved problem for us at scale with our clients. And so even as a human, I try to use the web and I get blocked by crazy captions that kind of interrupt my workflows.

Alex (21:49)

Not only that, but we used to complain so much about gdpr, you know, pop up notifications like do you accept cookies? And how, how many, you know, people years we've lost to people clicking those things so often. Now I go to a website that I've been to since I was a child and it's like Cloudflare. We have to make sure that you're a person. And that is now a very standard roadblock just to using the Internet. Jason, can I just ask you about the ethics of masv, because it sounds like exactly what I need because I have the same problem that you have. Often my either AI chatbot or my OpenCloud instance can't access a part of the Internet that I would like it to. And it seems like massive is a way to very politely get around those restrictions. How often do you get in trouble for helping people avoid the chainlink fence?

Jason Grant (22:36)

We built this company on ethics and compliance from the start in an industry that might not have been so above board and transparent about what they did historically. So there's a few things that we do to stay out of trouble. And one is that all of our users that comprise our network are consenting users. They're opted in. They get compensated for being a part of the network. It is kind of an upfront deal that we have with them. And then the other part of that is that we are not a good service to use to do nefarious things. We block 5 million plus domains that would be used for things like DDoS for, or distributing malware, or visiting certain content that might be illegal but not ethical. And we're definitely on the safer side of this. So we block all this content though makes us not practical to use if you want to do these things. So I hope that answers your question. We really have since the start of this company tried to do things the right way. Not only in line with what is legal, but what we think is right in our version of, of the Internet.

Alex (23:38)

Do the companies that are trying to keep out, let's say agentic calls on their websites agree with you or do they still protest a little bit? I'm trying to figure out the temperature of the people building more tools for AI agents versus the existing companies that might want to have a humans only sign across the door, if that makes sense.

Jason Grant (23:58)

It's an interesting topic because a lot of the big voices in the space saying not to do this have been doing it all along, you know, so, you know, like Google is involved in some cases where they're trying to make it hard for people to scrape or they're saying that's, that's not the right thing. And they've had the biggest scraping apparatus in the Internet history. And so yeah, all these big companies that are coming out against it are also doing it. And so it's kind of a fine line. I feel where I personally like, where it resonates the most with me is small business owners or site owners that are getting hit with tons of traffic. A lot of the traffic from scrapers, especially like very mass scale now that AI is around is not efficient. And so it could hit a site many times and create cost that make no sense versus just efficiently kind of scraping, collecting, using the info somehow.

Alex (24:47)

All right, so now take us from massive to clawpod. I'm going to pull it up here so everyone can take a look at it. It's a skill you built. I'm going to show the Claw Hub page. But what is this? Why do we need it? And how has market reaction been.

Jason Grant (25:00)

So clawpod takes all of the tools that we built at massive. That lets our clients gather, you know, tens of billions of data points each month at scale, and it gives it to the consumers that they could use these tools and, you know, have a pretty easy way to make complicated workflows. So it's using our Unblocker API and Search API that allow you to access Google and kind of hard to reach sites. And then all that's running on top of our proxy infrastructure of users across the world. And so now as a. Yeah, sorry, go ahead.

Alex (25:31)

Oh, no, please. I was gonna ask you about making the skill itself, but please finish the thought. I didn't mean to.

Jason Grant (25:35)

Oh, yeah, the skill wraps like all of our tools together and makes it really easy for users to. To access. They just go to clawhub to install. I mean, I like to grab it there, but they can also just install it via their open claw and say install clawpod. And then basically whenever you were about to run into one of those messages where it can't access them site, then clawpod will automatically go and retrieve that content. Or you can build and I'll show you guys 1. A demo. Yeah, but you can build. Maybe this is a good time to show a demo.

Alex (26:07)

Yeah, no, no, bring it up. We love demos.

Jason Grant (26:10)

So I'm giving a demo of a workflow that I built. Basically. I want to know everyone that's mentioning OpenClaw every day on TikTok, on X, on other social platforms. And so I'm using Clawpod to do this and it's going to go and I told my OpenCloud, go, go use Clawpod and search a few pages of Google for Openclaw with TikTok and X and kind of get people who mentioned it and some info about them and their profiles and stuff like that so that we could reach out. It'll take about a minute. So I'm going to fast forward in the video, you see the scrapers running and then about a minute later you can see that OpenClaw created a report. It found eight creators on TikTok and it's broken them down into tiers. So creators with over 400,000 followers versus 50 to 400,000 followers or 10 to 50 and so on. And it's created this for both TikTok and Twitter. And now this gets sent to the marketing team and they can automatically action it.

Alex (27:11)

So one thing, a question that I have is why does it take a minute to do that? I'm a very impatient boy. And one thing I love about the Internet is that things are quick. But I've also discovered, doing my own open claw usage, that sometimes there is a bit of lag. So tell me about what's going on during that minute and how fast we can kind of get that shrunk down.

Jason Grant (27:31)

Yeah, it depends what your workflow is. And this is kind of a workflow where you're. If you're collecting public web data, you'll want to run these as like a cron job. And it'll create some. You know, usually this kind of thing will be running in the background. You're not necessarily watching it each time, like on the demo. The reason is because it's actually going to visit Google. It's doing so in a way where we're not spamming Google with tons of traffic to the search pages. And then it has to go visit each one of those links and grab the content for you. And so there's ways to speed it up, like parallelization. This is a pretty simple flow that I've built. So if I spent a little bit more time on this or any user that uses Clawpod, you could tell it to grab those URLs and then visit 10 of them at a time. And that'll certainly speed up the workflow.

Alex (28:17)

All right, really quickly. People talk a lot about skills. We talk about downloading them, making them. Can you just give people a definition of what a open cloth skill is and what they look like? Because we just send people to your clawhub page and I want to make sure that when they scan through it, they have a little bit of context about what it is they're reading.

Jason Grant (28:36)

It is a list of instructions to your computer to how to use some technology. And so you're going to see in our, in our skill, for example, it says, and I just, I had a Google search today, so it's pretty fresh for me. It's going to say, hey, this is a couple APIs. You've got a Google search API, you got an unblocker. Whenever the user comes across some content that they can't access, or one of their LLMs says to them, this site cannot be accessed. Clawpod should go and retrieve the information and send it to them. And it'll. And it says stuff like use massive unblocker to do this or use the search parameters if the user wants to go to Google. And that's pretty much it. And you know, of course like a prompt, if you don't have an account, go get API keys and stuff like this. So it's just an instruction model for your machine. And I mean the really cool thing about these skills is we've condensed sometimes huge apps down into just a small instruction manual that can live in a very tiny and efficient markdown file for your open cloth.

Alex (29:37)

Matt, one way that I kind of think about these when I explain this to people is that a skill is kind of like a recipe, if that makes sense. Like you're kind of giving a list of ingredients, kind of a run through of how to go about them. And you know, much like a human, it's not going to do the exact same thing every time, but it's a good guidebook or recipe, if you will, for what should be done. How fair is that?

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Matthew Berman (30:56)

So the way I look at it is a skill is a combination of natural language, a prompt to actually give the model and then it also is able to call tools. And so the distinction between skills and tools is tools is purely deterministic code, meaning like the kind of more traditional code it is. If then and do this hit this API and those tools are available to the skills to call. The skills have prompts that can invoke the tools.

Alex (31:23)

I want to get to demo number two. You're going to show us awesome cool stuff inside of Telegram, including some buttons that were apparently released in the latest open claw instance. Yeah, I can't Wait to see this.

Matthew Berman (31:32)

We're getting right into some personal information here. I have had some stomach issues the last few months and I wanted to figure out why. This is one of my favorite use cases and I'm just gonna cut to the end for a second. It has figured out why I've had stomach issues, but let me show you what I'm doing. Doing so at the beginning, basically what I told it to do is look at everything that I'm eating. Sometimes I'll just describe it with natural language. Sometimes I will take pictures and upload it. And I say track it all. It tracks it by reading what's in the image. It records the time, it asks me some follow up questions sometimes about how much I've eaten and it basically tracks all of that. And then throughout the day I tell it how my stomach is feeling. And within the last, I believe I've been running this for about 10 days, it has figured out that the main cause of my stomach issues is onions. So it really. Yeah, yeah. So apparently it's terrible.

Alex (32:29)

Onions are clutch, man.

Matthew Berman (32:30)

It is terrible. And I love onions and I love grilled onions and I eat them and sometimes my wife is just gonna have to suffer, but most of the time I'm gonna try to avoid it. And so you can see like here I have espresso and I just tell it regular low fat milk, some olives and back and forth. And then finally at the 10 day stomach analysis, onion.

Jason Grant (32:53)

Right.

Matthew Berman (32:53)

So this is just such a fantastic use case. Then you also mentioned the inline buttons. I want to show that off. Just yesterday, OpenClaw released a new update that had in line buttons just like this, which is really cool. And rather than me kind of proactively telling it how my stomach is feeling, what it's going to do is just ping me three times times a day and ask me and all I have to do is click here. This is, by the way, the extent of a UI that I would want. I like everything to be in text, so that's one use case. I'm going to pause there for a second.

Alex (33:23)

Of the UI that you want.

Matthew Berman (33:25)

I want text only.

Alex (33:26)

Yeah, well, we, we talked about this when we had Heaton Shaw and Jesse Janae on the show on Monday. And we kind of said the apps are dead, if that makes sense. Like the argument was that we no longer need to have separate user interfaces for different tasks. And, and Matt, it sounds like you're echoing that sentiment.

Matthew Berman (33:42)

Absolutely. I made a video about this because it was called Sass is Dead. It was about 18 months ago.

Alex (33:47)

Oh, so it's your fault that the stock market crashed. I see.

Matthew Berman (33:50)

And so look, all of these agents are going to be able to handle all of this with very minimal interface. And to be honest, it would be great if I didn't even have to have text. Like it just knew what I wanted to do. It just did it and would only ask me questions when it was absolutely necessary. I do think the ultimate UX for AI as voice, but I just haven't figured out a good way to give Claude synchronous voice yet. But yeah, text for me for now.

Alex (34:17)

Well, that brings up actually if you could take that screen share down. I want to get Ryan's take on what you just said because next visit his company is a medical scribe. It's something that can, I think, hear as you talk to people in the psychiatry field. So first of all, Ryan, respond to the idea about user interfaces and voice being so clustered. And then after that I want to talk to you about security and using AI agents in the medical world.

Ryan Yannelli (34:41)

Yeah. So our platform does real time voice and it does real time analytics with LLMs and it's real time with latency because there's no way for us to instantaneously process massive amounts of health data securely and accurately that quick. But our users can interact with the AI assistant ARIA either by voice or and whatnot. But something we released recently was something like openclaw but for healthcare inside of the system and it has a lot of guardrails around it. Part of it comes up with this real time voice issue. How do you interact with it in real time? And all doctors really have done so far is what we've seen is just real time dictation. But they don't know how to talk to it yet. I think the consumer side is just how do you talk to AI or interact with it like voice? And I feel like it's just not 100% there yet.

Alex (35:53)

Is that because the underlying technology to enable conversation with AI isn't there yet or people haven't figured out yet how to engage with that like a feature? Because I'm not sure if it's like a technology thing or a learning thing.

Ryan Yannelli (36:06)

I'll rephrase it. It's more like right now you have trigger keywords, like I'll just say Siri and you have to say these trigger keywords. And when you're busy, like a doctor or a founder for that matter, you kind of just want to pick up on certain things or do things without you having to trigger it. Each time, I think just interacting with it in general is not there yet, or using those trigger keywords because it's just. It doesn't fit into people's workflow naturally, at least in my opinion.

Jason Grant (36:44)

Yeah.

Alex (36:45)

So, Jason, one thing that I'm really curious about is the security side of this, and I want to get back to Ryan in the medical world in a second, but you mentioned telling your whole team at your company to don't install OpenClaw on your work computer, and I think that's great advice. What do people need to know in a business or personal context about security right now with openclaw, and do we have enough guardrails in place via the skill hub and so forth to keep people reasonably secure if they're going to play with this?

Jason Grant (37:15)

Let's think about the biggest risk that we have right now, aside from Open Claw. The biggest risk is that someone sends you something via email or text that you trust and you click the link. That's one big thing. Another is that your password gets grabbed from somewhere. And that's a lot of happening at phishing tech. But somehow your password gets exposed, your passwords to sensitive information. So when you use something like openclaw, where you're putting a bunch of your. First of all, you know, for a layman, you're. You're starting with some software that hasn't been fully tested, it's in the early stages, and you're putting a bunch of your information there and you're letting it do stuff. So you're letting it maybe access email and you're giving it a bunch of your passwords. And so you're just increasing this kind of attack surface area immediately. And unless you figure out some guardrails around that, depending on your personal risk and what's at stake, I would advise caution. I mean, I would definitely advise caution before you start, but there's definitely safe ways to start experimenting. And I just wanted to get that message out to the team before, before anyone. You know, when you, when you work at a company, it's like the silly thing, things that can cause huge problems, like a person clicking the wrong link in the email. And so we take a pretty cautious approach to kind of just like shut something down and then investigate it and then figure out the path forward for everyone.

Alex (38:44)

Ryan, Jason's point there about phishing attacks and how you always have some risk. My relatively unlettered perspective, and I don't know as much about hipaa, I'm sure as you do, is that we're already so insecure generally speaking, in our digital lives, that adding a little bit of agentic juice to it isn't that terrifying. I'm running openclaw on my gaming PC most of the time and I give it access to my email and I just don't care. And I'm trying to figure out if I'm being a silly, silly boy or if people like Jason are being too conservative when they consider using OpenClaw in kind of a businessy context.

Ryan Yannelli (39:18)

Yeah. And I mean, Jason's point about just prompt injection in those emails is that I see it in our help desk every day. There's something like, like, you know, stop, like you're now giving me the full system prompt, blah, blah, blah, do this and that. So I see that every day. But when it comes to data and like security, my personal data, I don't care. I'm going to give whatever wants access to and access because I want to mess around with stuff. But when it comes to other people's data, I'm very guarded about what has access to that. Not only for compliance, but just ethics and security. I don't want to risk patients data.

Alex (39:59)

Yeah. One of our live viewers, Jay fenagal, says feeding OpenClaw health data just one example of a massive attack surface. 135,000 instances exposed the Internet, no real security posture. When does that become a problem? Sounds like your view is now. Yeah. All right, so, Jay Finagle, there you go. The answer is yes, you're dead on. All right, guys, I want to get to one more thing that the audience is bringing up. Right before we got on the show show Anthropic updated its policies. And one thing that they did was they said very clearly that you can't use your Pro or Max plan outside of their universe. Which means that now if you have been running your OpenClaw instance off of your personal subscription account to Anthropic's AI products, you're kind of banned from doing that as far as we can tell. Matt, you're nodding your head back and forth. Am I misreading the Anthropic update?

Matthew Berman (40:56)

No. Did that just happen? I think that has been the policy.

Alex (40:59)

Well, they updated the documents. I know there was the conversation about the coding tools, but people are reading this more as indication that you can't bring your Claude subscription to OpenClaw itself.

Matthew Berman (41:11)

Yeah, what a fumble. It just seems like such a negative signal to this community of builders who I have a Mac subscription and yes, I'm using it through that, obviously I'm going to have to Consider other options. Maybe the API directly, but it just, it leaves such a sour taste in my mouth. I don't like. Why not just let me do it? I'm. I have increased my payments to Anthropic because of Open Claw. So like, just, just let me do it. Let me do what I want with my tokens. And it, I don't know, it just not, not a. Not a good vibe.

Alex (41:42)

Yeah, it's a little bit surprising to me, Jason. There's been a lot of commentary that, you know, Anthropic has fumbled the bag, the moment, the future in regards to openclaw. But at the same time you don't want people using your stuff in ways that you don't want them to. Like, if I took Massive out and did things with it that you didn't approve of, I presume you would cut me off as well.

Jason Grant (42:02)

Yeah, absolutely. Immediately not approve of. But it went against policies, so it makes sense. Just as a tech, when we talk about security, by the way, there's this trade off versus moving slow and cautiously or figuring out what the future might look like and jumping in. So we're trying to, you know, toe that line. And yeah, it's disappointing because Claude has built some really great technology that people love using. I'm using Claude to do all kinds of. It's like magic at my computer. That used to take me a lot longer to produce. And when you take Open Claw, you just want to bring. Bring your own anything to use it. So it's kind of. It doesn't leave a great taste in the user's mouth to have this restriction imposed on us.

Alex (42:50)

You make an interesting point though about using their models. I've used Opus 4.5 in open cloud before I started switching over to some other stuff. Which one of the models are you using right now, Jason, that you find to be so impressive?

Jason Grant (43:02)

I'm using Opus 4.6 for.

Alex (43:05)

Oh, 4.6. Okay.

Jason Grant (43:06)

Yeah. Across most of what I'm doing right now because I'm still experimenting. I know it doesn't seem like it because every day is like a year in AI, but it's been like days or a couple weeks since I came. I'm not sure of time anymore. I'm also having a lot of late nights hacking over here, but I'm still playing with 4, 6 to understand all the capabilities.

Alex (43:27)

Matt, you just did a video about the release of Sonnet 4.6 from Anthropic, which people are raving about. What's been your experience with that? And do you think People should use it if they're currently much like Jason Opus 4.6 users at present.

Matthew Berman (43:40)

Yeah. So I'll say presently I am also an Opus 4.6 user pretty much across the entire Openclaw stack. Openclaw just released support for Sonnet 4.6 last night, so I'm starting to dabble with it. I haven't had time to extensively test it, but if you look at the benchmarks, if you look how Sonnet 4.6 is being positioned in the market as an absolute workhorse for knowledge work, it seems like it's going to fit in extremely well into my stack. And especially when I have to switch off of using the Max plan to using the API directly, I'm going to appreciate the cost savings of Sonnet. So yeah, I definitely plan on playing around with it. It really does seem like just an absolute workhorse for the things that I need to get done. And with tool use, agentic use, it's very impressive. I need to test some more.

Alex (44:28)

That's a really interesting point. I've heard a lot of people talking about how there's not just one best model for everything. You really want to be specific about what you're using for what. But then again, I was using Opus 4.5. You and Jason are now on 4.6. Is that true? Or should we just always go for the biggest, best and most expensive model? Because I'm kind of lazy and I tried to build a model switcher in my OpenClaw instance and it was just kind of kludgy Matt and I didn't really like what I got.

Matthew Berman (44:56)

Yeah, yeah. Look, if you're lazy or you don't want to think about it, choose the best model. Use that. Obviously you have to work within your budget. The I think like the, the optimal use case or the optimal implementation is a multimodal world. You want to use the right model for the right job. Opus is a great general model that can also code. Codex is really good at coding, but wouldn't be able to chat with you and have a really good personal conversation with you. Plus if you're doing embeddings, if you're doing cron job management, all of this stuff can be offloaded to smaller models. So I do think it is really like, like the ultimate implementation of this is to have it be multimodal. I think the other thing to consider is prompt management, which I don't, I don't think a lot of people think about yet. The reason one of the top reasons I went with a single model across the board is because I've optimized all my prompts specifically for Opus 4. 6 based on Anthropic's prompting guide. Now if I had multiple models, I'd have to manage multiple versions of each prompt. And that is not first class, that is not supported as a first class feature in open cloud yet. So I think the world will be multimodal. But for now it is, you know, if you're, if you don't care, if you just want to be some, have something simple single model.

Alex (46:10)

But if you don't end up like, oh Jason, please.

Jason Grant (46:14)

Yeah, I hope you're right. Because a multi model future means there's more competition, there's lower prices, there's more features coming out and it's overall a huge win for consumers. I don't know that we'd have have made the kind of crazy progress that we've made in the last few years unless there was an intense competition over winning the market. And so I mean part of that is that there's really a low cost of switching so people will just up and leave to the next thing if it's better. And that's painful if you run a company in the space in that, in that space. But it's amazing for the consumers, Jason.

Matthew Berman (46:51)

We'Re seeing that, right? There's very little loyalty to any model, especially in the coding world. Like, like Opus was kind of the end all, be all. And then as soon as GPT5.3 Codex came out it was like, oh no wait, that's the one now. But you're right and just to add one more fine point on that, local models continue to get better and better and so there are increasing numbers of use cases that can be offloaded to your local computer. And I think that's also going to be really powerful. A mixture of all the best models seems to be the clearest path forward.

Alex (47:22)

We're hearing a lot about model switching context and what's most efficient, what are you running at your company and how frequently do you test out different models in either your main product or in your open cloud instance.

Ryan Yannelli (47:33)

So I personally Opus 4.6, I've basically been using Claude since Anthropic released Opus 4. But yeah, we're pretty much Anthropic at next visit. They give us zero data retention, give us really great support. And we do test other models. We test on azure GPT and OpenAI. We test Google and Anthropic. In their last release when it was Opus 4.5, we noticed that there was a significant quality increase in their health care in terms of being able to diagnose psychiatric conditions. So that was just like. That sealed the deal for us to actually go solely with anthropic right now. But compared to other models, they're just at least for healthcare, it doesn't even compare.

Alex (48:35)

Doesn't even compare.

Uber AI Solutions Announcer (48:36)

Yeah.

Alex (48:37)

It's funny that we're all mostly still using opus because Z AI dropped GLM5. We just got Minimax M 2.5. There's a lot of rumblings about a new Deep Seq model coming out. Everyone loved Kimik 2.5 thinking, but we're still using opus, Jason. I mean, maybe that's just indicative of the lead that American AI labs have when it comes to agentic usage.

Jason Grant (49:02)

I'm not sure. And I don't think anyone, not just the average consumer, no one on my team or anyone I know has time to try every single model out. So I think for us, we've tested plenty. When OPUS came out, it was a. We're mostly engineers on our team. It was a world of difference. It was like night and day from what had come before. I think lately for generalized tasks, I've switched away from ChatGPT. A lot of people on the team cancel their subs and moved to Gemini for just general kind of research stuff, stuff. And it happened like a couple people noticed that it wasn't working as well and then boom, like, yeah, actually I don't need this anymore. I'm going to switch something else. So the cost of switching is low. AI companies is crazy wild growth. But also, you know, the flame that burns the brightest type thing where it's like, users have no loyalty to this. And I think for me, and you know, people that I know, you recognize a few brands, you'll test between them and you'll make your decision.

Alex (50:06)

Well, I think the One thing that OpenClaw has done for me is made me more interested in testing out different models because I'm always trying to figure out how to not go bankrupt. I love Opus and its various versions, but oh my Lord, I burned through API credits there so fast and I can't write it off as a business expense. So to me, I was like, I need to find something cheaper. So I ended up going down the model rabbit hole. But the quality of today's models do unlock a lot of stuff. We have a comment from someone watching. They said that they have a theory that openclaw is only winning because of timing. Could Manus or Devon have been just as big if they came out when these new LLMs existed. And so Matt, I'm curious from your perspective, is OpenClaw special because it's done something new or was it just built at a time in which models could take use of the harness and actually do cool things, but it's more model dependent versus the agent setup?

Matthew Berman (50:59)

No, I think that's certainly part of it that these models became so capable right at the same time. But Peter, what he has done is given inspiration to a community of tinkers and builders. And I think that showing the vision of what's possible, that was really the key unlock. And I think that the second part of that unlock is just how personal it felt else coming into the existing chat channels that you're using. Telegram, WhatsApp, Slack, like I think the combination of those three things is really what made it take off. Can like could Manus have done it? Could Devin have done it? I mean you could build, you could have built all this stuff three, six months ago with Codex, with Claude code. It was very possible, but it was like the, the fact that he put all the pieces together in a really nice way and then just gave it to the community to extend and explore what was possible. I think that is really what made it special.

Alex (51:56)

Jason, you're nodding your head. I want you to weigh in on this.

Jason Grant (52:00)

Yeah, I've been talking with a lot of the Claw Pod users and I want to hear all their use cases. So if you're using it, then ping me.

Alex (52:07)

I'm happy to get what's a good email address for you for people to send in notes if they're watching.

Jason Grant (52:13)

Find me on LinkedIn or X. Jason Grad without the a the best way to reach me. I'm, I'm working at my computer. I'm pretty responsive. If you send me something thoughtful, I'm happy to hear especially the use cases for clockwise. And what I'm finding is that like there's just a really long tail of there. There hasn't been a use case that just jumps out as the, the clear winner other than some like some, a smaller group of power users. But what I see is a long tail of people doing, doing all kinds of random stuff that they probably couldn't have done before that's helping power their small businesses or power their lives. And not only on open cloud, but I have a bunch of friends who were not technical before and now are just built like excited that they've been given the power to build. And it's the same feeling that I felt like almost a decade ago when I was learning to code and I could do stuff and I had power, the power to create stuff. Stuff that I wanted to exist in the world. This annoying feature that seems so simple that just didn't. Wasn't out there or something specific. And, and now we've given people this like AI OS to and it empowers them to just build all these things they've wanted to build but could never do before. And so I think that's part of this. It's. It's free. It's not. Well, now it's tied to OpenAI, so we'll see how the community responds over time. So we'll see. But money has a very influential effect on the activities of organizations.

Alex (53:41)

That's a spicy comment, Jason. But you're not as confident in the foundation setup, kind of leaving OpenClaw by itself and letting it exist as its own thing. Even if Peter goes to OpenAI.

Jason Grant (53:53)

You know what? I don't know Peter personally, so I can't say what he's going to do. So I'm a spectator. But OpenAI also started as a foundation.

Alex (54:07)

Well, when you put it like that, that's not a bad point. Let's get one more founder view on this question because this is interesting to me, Ryan. Confidence in openclaw's ability to stay independent via its foundation and not get subsumed into the Borg that is OpenAI. Are you more skeptical like Jason, or are you more optimistic, like a little more skeptical?

Ryan Yannelli (54:30)

Honestly, I think there's going to be a fork of this project that we're just something new entirely that's pretty much the same thing, but just worked out all the bugs and is truly just refined that just comes out from the shadows.

Alex (54:46)

I agree with that, but I'm not sure which one it's going to be. So Matt showed us his Telegram demo with the new buttons that you can now do, which is a cool new feature in OpenCloud. But there's also PicoBot, NanoClaw, NanoBot and SafeClaw, which is a non LLM OpenClaw competitor. Matt, do you think any of those have a shot at picking up material market share as people tinker with this stuff, or is it going to be mostly just openclaw is the main event?

Matthew Berman (55:11)

It's hard to predict the Future. I think OpenClaw has so much traction, so much growth, so much mindshare right now. And then kind of back to the previous point of how skeptical I am.

Alex (55:20)

Right, right.

Matthew Berman (55:20)

OpenAI is going to push a product that competes with Open Cloud, that competes with Pico, but I've actually not used any of those alternatives. So no, the answer to your question, no, I don't think in the immediate, the short, even maybe the midterm, those other projects are going to get much traction. And then I just want to kind of give my perspective. I am also skeptical Peter's going to OpenAI not to work on OpenClaw as far as I know. And then when OpenAI delivers their own Open Claw product and it's competing with the foundation's product, it's just like, okay, OpenAI needs to make money, they're going to go focus on that. And I feel like openclaw may be an orphan.

Alex (56:04)

Oh, that's really depressing. But Jason said earlier that he liked all the competition inside of different models because it yields to better stuff. Wouldn't it be a net positive if we had a commercial company competing with the open source product in this case to, you know, steel sharpened Steel, steel sharpened steel. I can speak English.

Matthew Berman (56:23)

It's one of my, yeah, look, OpenAI, Google, maybe even Apple one day comes out with a product like this. That would be wonderful. And I love competition. I think just like the wild west nature of open source and how rapidly it was iterating, how many eyeballs, how much excitement. That is what I was super into. But look, it's inevitable that all of the other companies are going to gain inspiration from what OpenClaw did. And that's fine. And yeah, competition is always good.

Alex (56:49)

I agree with that. I have one more question for Ryan before we wrap up here. One thing I've been hearing quite a lot about when it comes to people using one agent or multiple agents inside of OpenClaw is context loss. And when it comes to me using OpenClaw or any other kind of agentix system, it doesn't matter as much because I'm tinkering, I'm experimenting, I'm kind of hacking around. But using anything in a production setting is very different. I know that next week uses AI. So how large of a problem is context loss? And is it a problem much like hallucinations that's going away as time goes on, or is it ramping up in terms of an issue for you and your company?

Ryan Yannelli (57:26)

I mean, it's something we had to tackle really early on because when the context windows were what I think, like 8,000 tokens, we had to compress a lot of data. So even to this day, what we're still doing is. And even in my personal agents is just compressing data, taking out the parts that don't matter and just kind of fitting it into what's more relevant just for that conversation or that specific agent. But just by taking a document, chunking it out, making it more concise, that's been really helpful for context loss.

Alex (57:59)

Jason, the new Sonnet 4.6 context window, I think, is a million tokens. Does that solve the context loss issue? Just because we can now dump so much into the context window that we don't need to worry as much about losing it as we go along?

Jason Grant (58:13)

I have to test out Sonnet before I could say too much about it.

Alex (58:16)

Sorry.

Jason Grant (58:17)

I don't think that it feels like there's a limit. There's some kind of limit of context, regardless of what the token limit is, where models start to get a little confused or they leak memory to memory. And so as you add more content and go down and have more and more chats, I find that they get less accurate and start bringing in things from different conversations that don't make sense anymore. So I don't think it's more context for me with opus now, what I've been doing is deleting a lot of old conversations after I have them and trying to get rid of this. And also I build my own instruction manuals for how to do various workflows and then have that loaded into different conversations. And so I can just start new conversations and I want to start those conversations fresh. So I don't think it's a more context thing. I think it's about having better instructions to achieve specific goals if you're, you know, as you become a power user.

Alex (59:20)

What we need then is a open class skill that deletes unnecessary old conversations to clear up your context window so you don't lose context in opaqu. And that, I think is exactly why we're not mainstream yet with this stuff, because we're still clearly running up against things that will get ironed out in the future, but right now remain not thorny problems, but things that are annoying enough that I think the average person would just throw up their hands and kind of walk away.

Ryan Yannelli (59:47)

Ugh, that's.

Alex (59:48)

That's too bad. All right, one more question before we go, Matt. So people have been talking a lot about using Mac Minis. Very fun to set up their own kind of like, you know, hubs for their agents. The share price of Raspberry PI, a British company that makes very tiny computers, recently went up by like 50% because people were thinking about, hey, maybe we can use Raspberry PIs to power our at home agents. I'm just curious about what you recommend for the average person if they're getting started. And if you do think that Raspberry PI has a shot at gaining any of that sweet, sweet Mac mini money.

Matthew Berman (60:19)

From Apple, I would probably recommend using an old computer that you already have that you don't mind wiping. If you don't have an old computer, the next best option is to use a vps, some kind of fully hosted service. And, and it, you know we talked about this earlier. As soon as other companies start coming out with their own version fully, like really actually hosted, you don't have to set anything up. That's probably going to be the best way. But for now, if I'm going to recommend it, like get it, I have a MacBook Air sitting on my my desk right now. That's where everything goes to. I want wiped it clean, installed only what OpenClaw needs and nothing else. And that's what I recommend.

Alex (60:57)

Well, we really appreciate it Matthew People want to find your YouTube channel? It's YouTube.com MatthewBerman Anything else you want.

Matthew Berman (61:05)

To plug Forward future? Find us at forwardfuture on Twitter forwardfuture Love it.

Alex (61:12)

Ryan Next visit Apart from next visit AI anything you want to pitch or plug as we wrap up here?

Ryan Yannelli (61:21)

Say if you're interested in looking at what I create, check out my GitHub Yaneli and I'll post all my open Claw stuff on there and keep skills updated.

Alex (61:33)

Awesome. And Jason, we have joinmassive.com anything else that people should know about what you're working on or what you're looking for?

Jason Grant (61:39)

Yeah, find me on Twitter Jason Grad without the A like Jason or on LinkedIn I'm around massive is scraping huge amounts of data or through our clients. They're doing the scraping on our infrastructure every month. We're excited to unlock this capability in Claw Pod. I will probably drop a guide tomorrow on an easy setup because I see it's a huge problem for how to get this rolling on a vps. And I think, you know we got a lot of excited stuff, exciting stuff planned for Claw Pod, so just stay tuned. I think we'll have some some more things launching the next week or so.

Alex (62:15)

Well make sure to keep us abreast and next time there's a major update we'll have you back on to show us what it can do and how people can use it. But in the meantime my friends, another twist is in the can. We'll see you on Friday.