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Introduction

Brad Banyas:

All right, everybody, welcome back to Play the King Win the Day. I'm Brad Banyas. I'll be your host today. We're the podcast where we talk about bold leaders turning vision into velocity. And today's guest is a powerhouse in platform thinking and AI execution. Aaron Bailey, the newly appointed general manager of devs.ai. So it's a next-gen platform making AI not just smarter, but radically simpler for the businesses of all sizes. So welcome, Aaron. Welcome to the show.

Aaron Bailey:

Thanks for having me, Brad. Good times.

Brad Banyas:

We've had the pleasure to work with your team at devs.ai so we know a little bit about it. But we're excited to talk to you about kind of the vision of devs.ai and where you guys are. So, welcome.

Aaron Bailey:

Yeah, right on. It's good to be talking to a customer here. We appreciate your business and we're very happy to be partnered with you guys.

Brad Banyas:

We've already got into some anti-money laundering stuff and some other good things. We're jumping right in there. So you're not new, Aaron, to kind of the marketplace and channel. I mean, you kind of came to AppDirect via an acquisition of a company you built. So I'm just curious of how you feel you guys were acquired, you were doing that, and then they said, hey, Aaron, congratulations, we've got this great new AI platform and we want you to run it. So congratulations.

Aaron's Background and Journey to devs.ai

Aaron Bailey:

Yeah, no, it was a very interesting kind of turn of events. Yeah, my channel journey started actually at the first company that I was at, Impact. It was in affiliate marketing, which I would call is like a general part of the channel. It's more of an ancillary part of the channel. So there are different revenue generating roles for about five years. And then I actually went into VC for a while in the in a kind of a partnerships capacity, which was very interesting as well, because we basically is where the business that I built with my co-founder Michael came from. But we were kind of acting in the channel as well. I won't go too deep into that, it's a whole other podcast. But in the acquisition process with AppDirect, we had two on-site meetings out here in San Francisco, actually just north of San Francisco in Cavallo Point.

And Nick, the CEO, during our second on-site was pulling me aside, like, hey, we've been, I'm really excited about this initiative that we've been running called appdirect.ai. I want to show it to you, etc. cetera. of, and he was like, you know, I might want you to help out with the go-to market to this. And we were talking a ton about it. And in the back of my mind, I was like, focus on the deal. Like, let's get this, let's get our deal done first. And we'd love to partner with you on it. So after the acquisition, about six months in, this was two March's ago about six months in.

I brought it up to Nick. was like, Hey, how's it I got AI going, like, tell me about it. And he's like, actually, funny, you should ask, like, can you write up a go to market plan and present it to me tomorrow? And I was like, I'm actually going on vacation tomorrow. So if you're serious about this, like about me actually taking on this responsibility, let's let's chat after I get back. the Monday I got back we had a more in-depth convo. Asking a co-founder to leave the original business, there is definitely an emotional side of things, but we worked it out and I was very, very excited about the opportunity. That was September, October last year and went full, full time on it, January of this year, rebranded in March to devs.ai from appdirect.ai. Yeah, so it's been an exciting journey.

The Vision Behind devs.ai

Brad Banyas:

That's awesome. was just gonna say, man, there's a tidal wave of interest in AI for obvious reasons, but it's really also got some people confused, scared, don't know what to do. You know, there's so many different LLMs and you know, which platform should I go to? And so I think the way you guys have structured this as a service provider and someone who, you know, builds kind of on AI platforms, you know, we are really excited to see what you're doing. So what is what does this mean and why should I care? And what you've done is pretty unique, I think, from being in the platform space, the SaaS space, and coming from that, it's pretty uniquely positioned from a market perspective.

Private AI Workspaces and LLM Integration

Aaron Bailey:

So the way that we talk about it is the foundation of devs.ai is a private AI workspace for our end users. And that private AI workspace, the background there, we're usually selling into IT. The background is a lot of these enterprises have 75 % of their employees plus surveyed, are playing around with free AI tools, whether that's their personal accounts.

The free version of ChatGPT or Gemini or Grok, et cetera. The issue is, mean, T's and C's for these apps are, for lack of a better term, they're kind of data sharing programs. So when you put in data, their T's and C's allow them to train off of the inputs and outputs of that data or the content as it's defined as a legal term. And obviously at the enterprise level, that's not kosher. And so they ensure that that's the kind of a zero retention policy at the enterprise level. We allow folks to consolidate all their usage across all the different AI providers because everybody kind of has their different flavor of ice cream. The engineers really like Claude, Sonnet 4, Opus 4. The marketers like 4 on OpenAI, Gemini right now, if you look at the leaderboard against the benchmarks, if you go to LMArena.ai, it's a great resource to see kind of who's winning.

There's kind of a circle of life, there's two new LLMs on average that drop every week. They're constantly leapfrogging each other. And so you need a safe and secure place to be able to access every LLM and as well as kind of build agents. And so, I mean, we're an agent to AI platform fundamentally. It's kind of the first thing that we built. Agents are going to augment and amplify what humanity can do. We're not big believers in replacement, rather in kind of augmentation. Work will definitely change, right? ⁓ But from our perspective, mean, private AI workspaces that give you access to every LLM and a no-code agent builder, that's what Devs.ai AI is.

Infrastructure and Build vs Buy Discussion

Brad Banyas:

Right. And then you're also from from the execution and launch. I mean, you're you're providing really the whole back end infrastructure right from an Azure perspective. And so I think that's like people probably need to understand that, right? Like if you're gonna go off and do this on your own in a particular LLM, you know, there's the infrastructure behind that that you also will have to do to scale that. And you guys have kind of combined that into the one service, correct?

Aaron Bailey:

Yeah, it's funny. I just did a LinkedIn post on this. There was this Reddit thread going around where this engineer was like, I just got paid $35,000, kind of a one-time fee to build out a law firm's private AI workspace, essentially. They talked about using CoreWeave, know, CoreWeave, they're renting out GPUs, they're doing a mixture of kind of on-prem and cloud. And, you know, the costs were gonna be seemingly in the tens of thousands of dollars. And it was going to be, first off, ugly to build, and then very ugly to maintain, especially as you want to bring on the new models. mean, the build versus buy math, just it doesn't make any sense to your own kind of private AI workspace internally. Although I will say, I we talked to a variety of different customers in different industries where on-prem is a must, right?

We talked to a DoD, kind of I would call them an emerging prime, and they have to be on-prem for particular projects. And so we just provide the whole stack. If I could show you a slide right now, I mean, you'd see, you know, we have seven different layers to what we build, and you can swap out any of layers. You want to bring your own secure environment. We have on-prem deployment options. You want to bring your own LLM that's trained on your industry, on your company data. We allow you to bring that. And for the most part, it's very appreciated from the 99 % of our customers that we provide the whole stack and architecture that people can build off of.

Brad Banyas:

Yeah, absolutely. Our developers love it. and it's also just even from that perspective, if you're trying to do proof of concepts or, you know, kind of a small, I don't know, the MVP, right? You're trying to figure out something what you really want to do. It's really unique to be able to do that and do it really quickly. That's been our feedback. So kudos to that. So what are some of the things like I know you guys as a channel AppDirect for people that don't know a lot about AppDirect, right, and what AppDirect does. I know that you guys sell through a lot of advisors, and those advisors are out consulting across multiple products and licensing products, Microsoft, things like that for their customers through AppDirect.

What are you seeing some of the early kind of adopters around advisors? What kind of things they're trying to come back or their customers are asking? Are you seeing a trend in that? Like customer service is always big, know, things like that, but.

AI Agent Use Cases Across Industries

Aaron Bailey:

So I'd say the kind of more unique ones, maybe those aren't unique. do think that like every business is going to go in this direction, whether they have or not yet. So it's kind of sales coaching for the larger advisors that have sales teams kind of under them. Having an AI that you can, that's trained on all of your sales knowledge. I mean, after a catalog of 16,000 SKUs, right? We have this whole thing called the tech wheel. You're selling the life cycle of all the different, telco wireless connectivity, hardware, cloud infra, and advisors usually specialize in it a couple of those, but we try to provide resources for them to sell the, what we call the entire tech wheel. And AI is the first year AI has been a part of the wheel. We're very, we're very happy about that.

Brad Banyas:

Yeah, the wheel. Everyone's seen the wheel slide.

Aaron Bailey:

That's the most common thing we see is for larger advisors having a having a sales coach customer support. Obviously, I mean, we do have on devs no code way to build a customer support agent that you can deploy on your website will provide the code for that. It's under a little deploy button after you've built your built your agent, trained it on your support documentation, what have you. Those are the those are the easy ones.

There's a lot of other kind of complex agents. The way that we think about this from when I'm in sales processes with different enterprises, you see that there are common agents per department that folks need. Sales departments need this set of agencies, four or five agents, HR departments need this, legal departments need this. So can cut across every single department.

But then there's also there's a longer conversation usually around what are the agents that are kind of that will be unique to you because they're solving unique kind of business problems. So I'll give you a for instance for large how do I put this like a not technically allowed to like mention their name large, large device manufacturer. You know big public company has 20 years of schematics and different documentation that they want to give their system engineers that are down on the floor. They need to, one, structure that data in a way that can be read by the LLM, so vectorized and embedded into a vector database. And then they want to make it kind of query able.

You could you could view it as an internal support agent, but like this is very unique to their business and their kind of the industry that they the workflows that they have. There's other ones. I mean, I talked to a CPA today who's like, hey, want to I need to automate the creation of SOC 2 and ISO 2700 reports. I have all the information, all the evidence I've gathered. I have in our kind of Microsoft OneDrive. I have a template that I typically use and it takes hours for our admins to go and plug in all that info before I review it. Can I just have an agent do that? So the answer is like easily yes, right? And there's horizontal agents you could say, and then vertical, like very business specific agents as well. And that's what we're seeing.

Brad Banyas

It's probably much like any case. I think a lot of people we see are starting with simple, you know, customer sport type, you know, can you answer these type questions for us? If it's, you know, and that I think benefits everybody. So that makes a lot of sense. And then I would say also you guys, I saw something on your marketplace where just like you said, your advisors have 16,000, you know, opportunities to sell something in that wheel. Just simply a general recommendation.

Of what am I looking for, what area am I in, know, which vendors or partners might be, you know, instead of me looking through 30 of them, yeah, which one of these guys does CRM, which one of these guys does whatever, and I think, you know, in a marketplace like you guys have, that's got to just be phenomenal because it's information overload sometimes.

Aaron Bailey

Exactly, querying the catalog, totally.

Totally that's spot on it. And I mean, we make it really easy to fill up the rag pipeline where we give you the ability to scrape websites, right? So you can just put in catalog.appdirect.com and it'll scrape every page under that site, and under that sub domain. Then make it, make it query able, which is very powerful to your point.

Sales Use Cases and Agent Onboarding

Brad Banyas

Right. That's great. What are your hopes? You guys have kind of a subscription model either for an individual to build site, build some agents or from a company perspective. What's that like for, we're staying in sales right now. Let's talk about somebody who's in sales ops, rev ops or something like that. What typically would you recommend for them to get started or how to get on the platform?

I mean, I've been in and I'm not an AI guru, right? So I'm a good case study because I'm not an AI programmer. But what's a good point for like someone in sales, a VP of sales that wants to get in this and use this and be more effective with his team? You what are some of the things you might recommend someone in that area?

CRM Automation and Agentic Futures

Aaron Bailey:

Actually, my answer to this kind of question has changed a lot over the last two weeks because, well, mean, the space is moving so fast, I will say. And I talked to, as you can imagine, a ton of customers. And what I'm actually having them do now, it very much depends on the level of sophistication of the user. But I find a very good exercise for them starting exercise is just to chat on agent list chat. If you go to devs.ai, you can sign up for free. Agent list chat just means you haven't built an agent. You're not speaking with an agent. You're just speaking with the LLM directly and give it context on who you are, what your role is, what your company is, the stage of your company, the geo of your company, if it's relevant, and ask it what agents you should build for yourself.

It's actually extraordinarily good depending on the level of context that you give it. Right. And so overall, we do want to begin to get to this point where you're not, where you kind of don't have to explain yourself so much. And part of that is just giving it access to the systems that matter, whether that be your email or your CRM, if you're a VP sales, right? And not just read access, but also write access. so, if you're a HubSpot shop or a Salesforce shop, not just saying like, okay, hey, tell me what James's pipeline looks like, where do think the opportunities are?

And it'll kind of give you its best level insight. But also, if I'm a salesperson, I just had a call with Brad. Can you update the opportunity to go from discovery stage to the demo stage and make it a $20,000 opportunity? And now, I tell you, as a sales guy, because I used to be a sales guy, right? I'm technically, you're never not a sales guy when you're a founder or GM, but updating your CRM is just the feels like the biggest waste of time of all time, unless you're a VP of sales, in which case it's like you're the one hounding everybody, or maybe the managers are hounding everybody to update the CRM. And so that's the kind of future that's not coming. It's here, right? And so, you can connect those systems and begin to take action.

They can begin to take action on your behalf and that's really powerful. think, you know, I'm not sure, I think the jury's still out for the folks in the audience who are in the back of their head. There was a famous kind of Satya Nadella interview that happened what a few months ago where he was basically like, listen, CRUD databases are potentially gonna go away. What is it? Read, update, and so Salesforce is, I mean, it's basically just a massive Excel sheet.

So what's going to happen to those when you can just talk to an AI has all that information. I'm not sure it's I'm not sure they're going to go away. But but I definitely think the workflows are going to change pretty dramatically. You know, and not just asking an AI, hey, what does my pipeline look like? But maybe every morning it's giving me a custom dashboard and it's writing the code, pulling the data, creating a custom dashboard for me so that I can see kind of what should I be focused on today? Oh, the Cloudflare went down today. Google was basically, so maybe I should hit, if I'm a security company, maybe I should hit up all their customers or something like that. And that's very tailored to, and relevant to what's happening for the day.

Brad Banyas

Yeah, absolutely and you just made every, every salesperson in the world who hates any kind of CRM really happy because, now, it's always been, early on, well, if we could just have a voice type thing where we can ask. Versus going in or typing and no one, 60 % of CRMs fail because of adoption, not because the technology doesn't work, right? It's the adoption that people in the biggest complaint is they don't want to enter the data, which nobody does. So thank you AI for that, for all the CRM fans out there.

Aaron Bailey

I'm more talking about reactive agency. There's this there's this kind of proactive agents which will like call ends between Aaron and Brad. Our recorder that's in the call has the transcription asks Aaron, the sales guy, hey, you know, here are the here are the notes. Here's the full transcription. Here's a summary. Can I update the opportunity instead of me going asking, hey, can you update the opportunity? It's asking me right. ⁓ And now I'm just approving all of the updates that need to happen in in the CRM.

Brad Banyas

It's amazing what some even just some, know, I've got one of my kids is in the construction business and you know, they're dealing with a lot of plans and layouts and calculations and they have to give, you know, reports back, you know, on on what these statuses are. And he, you know, he's not a tech guy, but he figured out how to train it to where it pretty much does all that. He trained it on the format that they needed. And now he doesn't waste any time with it. So it's amazing how just everyday people are using AI to you know get creative and make their their work more efficient and really a lot of this stuff a lot of it's just time-consuming and not necessary.

Innovation, Vibe Coding, and the Future of Devs.ai

Brad Banyas

So what are you really excited about as far as not only from the platform adoption but ⁓ this the future of how you guys are going to use AI. mean, obviously you've built a management platform with all these different 20 plus LLMs in it. You know, what do you see? How do you see that helping you even with the platform continuation and advancement? Does that make sense?

Aaron Bailey

Yeah, well, I'll tell you. So it's the platform, the plans that we have for devs are very, very exciting. And I mean, give you a couple of examples like this, this whole idea of vibe coding, it's kind of a street term. You know, it's, I maybe want to change the name because it's, does it like it might scare away enterprises, but vibe coding is essentially just natural language to code. Right? So you're prompting, you're prompting an app and you know, and in our case, maybe a business app.

Brad Banyas

Yeah. Right.

Aaron Bailey

I mean, you know, I kind of want to run a case study over this, I mean, we, we've essentially we've, we've kind of built our own internal vibe coding tool, not really just going to be a while till we, ⁓ we kind of are able to release it publicly, but we've replaced, ⁓ internal technologies already, ⁓ that costs a hundred thousand dollars a year because non-technical folks have vibe coded, an app that is, you know, that is 90 % to parity with what we needed from that app, which is pretty, I mean, that's pretty disruptive. And I mean, our CEO, Nick, ⁓ Vodkoded a whole new website, ⁓ from scratch with a bottle of wine over the weekend. I think it was four to eight hours or something like that. ⁓ brought in marketing, marketing, took it from there, ⁓ launched the website.

Very complex. mean, again, I’m anonymizing some of the details because I'm not, you know, I'm not sure if we should, if we're, if we're doing the full kind of a case study soon, but I'm obviously very bullish on doing a case study because I think it's, those are very powerful stories. Obviously, you know, there are shortcomings when it comes to vibe coding, that sort of thing. It's very important to keep the engineers in the loop, make sure that, you know, security is robust, et cetera.

But the way that we're thinking about enabling enterprises to use those tools ⁓ is, think, is a very exciting future. the build and another post I did recently, the build versus versus bi-math is changing pretty dramatically, pretty quickly. ⁓ And so I'm very excited about that. I'm, you know, I'm really excited about the level of innovation and the speed at which these AI providers, which we use obviously like OpenAI Anthropic are getting to more sophisticated models. I'm very focused right now on this idea of continuous learning. think that's once we have LLMs that can continuously learn their knowledge is not just static other than adding like a rag pipeline that can be kind of inferred from. Very excited about that.

Maybe context window begins to go away, you know, and, you know, your entire, your entire life over time, can be in the context window. So it, so it just continually has the most up to date information on you as the individual. I think that that brings up a lot of other really interesting questions about the memory that's built up over time, personally, and that work. We are building out a templated policy right now that we've been asked quite a few times by customers, hey, can you help us write an AI policy? And so far we've said no. A couple pointers, but now I'm like, there are enough people asking that there needs to be some maybe some leadership in the space. And so we're gonna release a number of policy templates that folks can edit themselves, but gives them kind of that zero to one kind of piece. So that's on the way. Yeah, I could talk about other things forever. I'm kind of rambling over here.

Brad Banyas (25:50)

No, you're excited about it. You guys are doing a lot of things that, know, AI is moving so quickly, just like you said. I mean, new models are coming out every day. So it's hard for, I would say, people that aren't in the space to even ⁓ comprehend like how fast this is moving and like what you potentially may do with it. So I think it's really important to kind of share, hey, you know, we don't want to give a use case out today, but hell, it may be out tomorrow, right? I mean, it may move that quick and I think people are a little confused and don't yet know how to use it and I think once we kind of internalize you hey it's it's gonna be part of what you're doing you know just being able to prompt and tell it what to do or what you want is is amazing you know that's an amazing jump so

Aaron Bailey

I don't even know if you know this yet, Brad, because we just released them in the past couple of days, but we actually do have a couple trainings for folks now who are interested out on YouTube. Maybe you can post them in the show notes if you guys offer those up. But it's just, it's like a Dev Essentials, which is really, you know, how do I use, how do I build agents? How do I, you know, what do I do with an agent to get a platform?

So there it's a maybe 30 minutes worth of short short videos people can go through and then also a prompt engineering course as well that we just released. And so I'm happy to share that with the crowd. So no at no cost. You don't have to sign up to anything. You know, it's just a free resource.

Brad Banyas

That's amazing. I mean, I think that's needed because I think more once people get used to it, then the innovation like you're an entrepreneur, right? You're not an entrepreneur. Had had a couple of businesses, sold businesses. And, you know, we're excited from an entrepreneurial side just what you can do really with with less people. Right. When you start a company as an entrepreneur, you're facing giants. And many, many of the obstacles are people. Right. They're people, they're engineers.

There are people across different places that some of these small businesses. And if you've got good ideas and you're innovative and you can learn to use AI in that role, I mean, you can take on giants. We're working on one of those right now, which is fun. So, you know, it's fun to try to unseat people that typically have more resources than you do.

Aaron Bailey

There's, I mean, there's a tough, there's a couple of points that one Sam Altman just just posted another blog post, which is kind of a maybe a turning point or seminal moment. But one of the things he kind of said was, you know, the concept of like a quote unquote idea guy, is about to have his or her day in the sun I mean, the ability to prompt to code where non-technical people can now create consumer apps, business apps, workflows internally, et cetera. Very powerful concept. I mean, I love, I think it was Jensen, Kuang CEO, of NVIDIA, who said, yes, mean, your earnings are gonna skyrocket. There's gonna be a lot of cost savings and productivity and growth due to AI. But what are companies gonna do with those earnings? They're gonna hire more people.

Which is great, I do think the nature of jobs are going to change, but the efficiencies are going to go way up. It's an exciting future. There's this kind of hope versus fear messaging out there, like the Luddite message in the AI is going to take over the world. even see some of these companies out here in San Francisco, if you drive down the 80 with these billboards that are like, this AI doesn't go on vacation, doesn't ask for a raise, doesn't ever take PTO.

Like that is not the vision that we think is it is actually even going to be the most productive. Like if you I was talking to Nick, our CEO today and he's like he had a great quote. He was like if it's if it's human AI or human plus AI beats human alone and human plus AI beats AI alone. So the human plus AI like combo is the best combo. People in tech are better together. And, you know, that's, that's what we're kind of leaning into. Like how do we empower and augment the human with AI, right?

Brad Banyas

Yeah, absolutely. Well, I mean, it's here and you know, it's so funny because, you know, we've been around technology for a long time, you know, 30 plus years and gone through all the you guys were probably a little younger, but the Y2K scares and the world, the world didn't end. Right. I remember we had it. We hired a bunch of programmers and everyone all the fear. Nobody died. It was OK. But I think, you know, as a business, we were always business process people, workflow type people, know, integration type people. And, you know, all that stems, AI just kind of, you know, 100 times that.

So it's an exciting time for people that are in that kind of looking to improve a business process or a workflow process or just a system process. It makes it a lot easier. You go faster. I saw something this was probably a year and a half or two years ago. And I can't disclose obviously who it was for reasons because let's just say it was a government agency kind of deal. And they had a mainframe type program.

Aaron Bailey

Totally agree. We're talking about all this confidential stuff on this public podcast. You love it.

Reflections on AI Potential and Transformation

Brad Banyas

They built this thing over 20 years. It was a very complex thing. And we saw early AI tool literally convert a million lines of code in seconds. Now all the functionality was they converted it to a different language, updated it, whatever. And all the functionality, so I don't want to say it was 100%, it wasn't. But what it did, and when they saw it, they're like, that would have taken us three years to do that.

Aaron Bailey

Yeah. A lot of money too.

Brad Banyas

And it happened in, it happened in, yeah, a lot of money in seconds, maybe a minute. I'll give it a minute. Just say 60 seconds. Yeah, 60 seconds, damn. Yeah, well, that's terrible. But my point was we were watching that as well and we're dumbfounded. Like as to, wow, this is just thinking of all those systems now we can convert into. I think they did some of that recently and some of what was going on in the government. But it was just mind boggling. It was amazing to think while you could literally change something that was really way out of date and get it to a point where now the real people can come in and define really how this should be interfaced and used in the security around it. It was eye-opening for us, certainly.

Aaron Bailey

It's actually a great point. There's, there's still like many executives have in their head files, you know, in their, in their file cabinet in their head. This is a big Harry problem that I never want to face. Like that, like, like what you just mentioned, or this workflow is so redundant. How, how have we not automated this process yet? It's been so many years that they just haven't revisited that, that file folder.

Now maybe the barrier is like, okay, AI, I know AI can like change the world. I know it can do all this stuff. I don't really know how yet. I feel like I don't understand it. And so I'm actually gonna continue to keep that file cabinet closed for now. I'm happy, this is a big shout out. I'm happy to speak with anyone who has, who wants to open up that file cabinet and we can work through how you can automate those workflows and how we can fix those kind of big hairier problems that might get fixed in 60 seconds. I mean, it doesn't sound like it was fully fixed, but generally at least get it going zero to one. That's the other pieces you have to check. You have to keep the human in the loop, right?

Brad Banyas

Absolutely. It did probably save $10 million or more. Let's be honest. mean, it saved a bunch of money. but yeah, well, I'm really excited for you guys. mean, we ⁓ as partners, you guys being in the space, we saw immediate value in it. So as someone who's kind of our team, not myself, but our team, that's kind of technical in nature and in all these different LLMs and understands the complexity around, you know, setting one up and securing it and doing all that. I think it's going to be a huge success. So we were really excited. So where would, so just if someone, can you give the audience just all the detail where to go? And we'll put this in the show notes as well.

Also on the learning side of that, if you just want to kind of get in and learn how to prompt and do all that, we would love those links as well. But just give the audience a place or shows we've been talking about customers, but your case is and we do a lot of work with advisors and your advisors. Just give some good spots they can go to immediately and get started.

Final Thoughts and Getting Started

Aaron Bailey

What's great is again, we have a pretty robust free version. There is a rate limit on the number of tokens we give our free users per month. But you can sign up for free at devs.ai. So D-E-V-S dot A-I. And if you want to have a chat, if you're an exec, you want to have a chat, open up that file cabinet that I was talking about before. You can email me and you know, maybe I shouldn't put my email out on air, but I'm happy to and I'll change it if it gets a little bit wild.

Brad Banyas

Well, if you got a wife or girlfriend,they might be mad, but that's okay. It's just business. It's just business, Aaron.

Aaron Bailey

Yeah, yeah, I mean, yeah, yeah, so it's Aaron at devs.ai. It's simple, right? So A-A-R-O-N at devs.ai. It'd be cool to post a couple things in the show notes, just as resources for folks who listen to the show. Yeah, and thanks for having us on. Thanks for giving me the time.

Brad Banyas

Absolutely. We're really excited for you guys. It's a great offering for a lot of people. I know you guys have a really big network of advisors and customers. I mean, the good news starting with that, you're not starting from scratch and you've already got the trust. So I think it's gonna continue to grow. So we're happy to be a part of it and appreciate all the support your team's given our guys. It's been great.

Aaron Bailey

I'm very happy to have you on as customers and partners, Brad.

Brad Banyas

Folks, you heard it. Aaron Bailey, devs.ai. Check it out. Even if you're learning and you're just trying to get a good grasp of what's going on. But from a business perspective, we've seen it work and you can also reach out to us at any time and give feedback on that. But Aaron, thank you so much for joining us today. Big things for you guys. And we're really excited and appreciate you being on the show. No worries.

Aaron Bailey

Thanks a lot, thanks for having me.