Inside Genspark: $0 to $250M ARR in 12 Months with Wen Sang

13 May 2026 · 45 min · 28 chapters

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In short

GenSpark’s shift from AI search and “Spark pages” to agentic AI workspaces that plan and execute real tasks across tools, aiming to become an AI co-worker.

Key claims

by month 5 GenSpark hit $50M ARR, month 9 surpassed $100M ARR, and “near 100% of code is written by AI.” GenSpark’s “Superagent” uses a multi-model architecture (70+ models; OpenAI/Anthropic/Google/open-weight) plus code-based slide/chart generation and tool “arms and legs” to do work, not just answer questions. It also offers long-memory agents via OpenClaw (cloud VM on Microsoft Azure) and a Git server (SBGit) for agent knowledge/memory.

Notable examples

generating a VC pitch deck tailored to a specific firm; “Speakly” speech-to-output; a custom “Grant’s executive assistant” agent that delivers briefings and checks Reddit/TechCrunch; a DoorDash/Starbucks “Claw” computer-use demo; a power user running a sales-agent business with “Claw Goose.”

Guests

Wen Sang (co-founder and COO of GenSpark). Hosts: Corey Knowles and Grant Harvey (mentioned as co-hosts).

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

The Evolution of Human-Centric AI

0:00 to 0:54

Explore the transition to human-centric AI systems and how they impact work.

“The world is entering into a human-centric world.”

GenSpark's Journey from Search to AI Workspaces

2:06 to 3:18

Discover GenSpark's transition from AI search to AI workspaces and deliverables.

“Well, I guess to start off, so GenSpark started with AI search and Spark pages, But now the company is talking about AI workspaces, AI employees and finished deliverables.”

The Need for AI in Work Productivity

3:18 to 4:30

Discuss the reasons behind the need for AI to enhance work productivity.

“We grew to about 5 million users in a few months after we launched the first product.”

Rapid Growth and Market Reception

4:30 to 6:30

Analyze GenSpark's rapid growth and the strategies behind their market success.

“So can we then push the AI steps further to actually not only get the information, but actually get work done for the users, for everybody?”

Introducing Workspace 4.0 and Its Features

6:30 to 7:42

Learn about the features of Workspace 4.0 and how it enhances productivity.

“And before that, we didn't spend a single advertisement dollar.”

Customization of Workflows with AI

7:42 to 9:15

Explore how AI can customize workflows and tools for individual users.

“Well, so you mentioned a couple things there that I want to circle back to.”

The Role of Multi-Model AI Integration

9:15 to 10:48

Understand how integrating multiple AI models enhances functionality.

“and make it splashy but dark background, clean design.”

Real Work Execution by AI

10:48 to 14:01

Discuss how AI goes beyond conversation to execute real tasks effectively.

“And then these are the principles, right?”

Understanding LLMs and Their Limitations

14:01 to 14:39

Learn about the limitations of large language models and the need for additional tools.

“Like underneath, it's Python code that we wrote through our tools.”

The Rise of Podcasting as a Media Empire

14:40 to 15:19

Explore the potential of podcasting and its growth in the media landscape.

“I forgot to tell it to just go five pages, but now it's still going.”
Show all 28 chapters

JetSpark's Impact on Businesses

15:20 to 16:38

Discover how JetSpark is transforming business operations for various industries.

“And what we really learned is when people are making a lot more money off what they spend, it's a no-brainer, right?”

Real-World Applications of JetSpark

16:39 to 17:42

Hear about a user’s experience with JetSpark and its advantages over traditional methods.

“And Goose does everything for him from his business to plan out his grocery and so on.”

Pricing and Access to AI Tools

17:43 to 18:49

Understand the pricing model and access to various AI tools within JetSpark.

“So basically, you pay$25 a month to get access to all the Frontier stuff on the market.”

Connecting Multiple Tools with JetSpark

18:50 to 21:19

Learn how JetSpark integrates with various tools to enhance user experience.

“If you were paying for a Gemini, a Claude, and a ChatGP, they add up, right?”

Creating Custom Agents in JetSpark

21:20 to 22:47

Discover how users can create custom agents tailored to their needs with JetSpark.

“So we see the world exactly the same way.”

Setting Up Your Custom Assistant

22:48 to 24:59

Step through the process of creating and configuring a personal AI assistant.

“The process of working is similar in a way that now it's building the grant's executive assistant agent for you.”

Understanding Open-Claw Framework

25:00 to 26:54

Gain insights into the Open-Claw framework and its implications for AI interaction.

“When Chagibiti just came out, the way human beings interact with AI is we go to AI.”

Practical Uses of Open-Claw

26:55 to 28:00

Explore practical applications of the Open-Claw framework in daily tasks.

“and we'll set up OpenClaw on that machine for you.”

AI Agent in Action

28:00 to 29:00

Explore how a digital agent interacts with real-world tasks like ordering coffee.

“But if you – yeah, this is like – this is a Microsoft Azure computer at the same time.”

Simplifying AI for Everyone

29:00 to 30:40

Discussing the accessibility of AI technology for non-technical users.

“I'm tempted to give you my actual address.”

Advancements in Human-AI Interaction

30:40 to 32:50

Learn how human-like interactions with AI are evolving and improving.

“Because I know when you use let's say like GPT agent, for example, you know, it's all in that sandbox and there's the window and it gives you the option to click and take over.”

Future of AI Innovations

32:50 to 35:00

Insights into potential future developments in AI and its applications.

“So basically the progress we're seeing is the feeling of human AI interaction is getting closer and closer to human and human interaction.”

Adapting to Business Demands

35:00 to 37:00

Understand how GenSpark evolved to meet business needs with new features.

“But right now, it's like an explosion of innovations.”

The Role of AI in Code Development

37:00 to 39:20

Discussing the use of AI in coding and the future of software development.

“That is when we got into the motion of, yo, what?”

Empowering Freedom through AI

39:20 to 40:30

Exploring how AI can free individuals from mundane tasks and enhance life choices.

“Say three years from now, where do you see GenSpark?”

Practical Use of GenSpark

40:30 to 42:00

Guidance on how to effectively use GenSpark for various projects.

“We see new job titles popping up, AI specialists.”

Exploring GenSpark's Capabilities

42:00 to 43:16

Learn how GenSpark can be used in various business applications.

“And the Git technology by itself is born to do this, right?”

Closing Thoughts and Gratitude

43:16 to 43:44

Hear the hosts express appreciation for the guest and the discussion.

“I've seen, yeah, marketers building on marketing materials and then packaging up a whole project, you know, just to deliver it to their clients and that really make their lives a lot easier.”
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Transcript

Automatic transcript. May contain errors.

0:00The world is entering into a human-centric world. So none of us, you know, the boundaries among all of these tools are disappearing. And basically, the legacy software is taking a step back to become the infrastructure for agents. Everybody's a boss now. You just have a fleet of Goldman Sachs and analysts running in your pocket doing things for you. Why do people need information? We need information to get the work done. Can we then push the AI steps further to actually not only get the information, but actually get work done for the users, for everybody. With this wave of AI breakthroughs, we finally arrive at this historic point where we no longer have to work.

0:37We can choose to work. At least we no longer have to do the busy work in order to achieve the real business results. That sort of change is like, it's insane. Today, it's also possible because at Jansburg, today near 100 % of code is written by AI.

0:53Corey:Welcome humans to the Neuron AI Explained. I'm your host, Corey Knowles. With me, as always, is the man whose inbox has been asking for autonomous processing since 2017, Grant Harvey.

1:04Grant:Yeah, needs it. Needs it desperately. That's for sure. I'm doing good. I'm doing good, Corey. How are you?

1:10Corey:Doing good. Doing good. So today, we're talking with Wyn Sang, co-founder and COO of GenSpark, about the jump from AI chatbots that answer questions to agents that actually finish work.

1:23Grant:GenSpark is one of the fastest moving agentic AI startups in the market right now. And they've got a lot of recent launches, including Workspace 4.0, GenSpark Claw for desktop, Microsoft Office integrations, Speakly, Autonomous Workflows and Meeting Agents, and most recently SBGit, which is a Git server that they rewrote for agents. So excited to talk about all of this. The big question for today, though, is when does an assistant become something closer to an AI co-worker? And what has to be true before business is trusted? So excited to talk about all that.

1:58Corey:Wynn, welcome to the Neuron. We're happy to have you. Thank you, Corey and Grant. Super excited to be here. Excellent.

2:05Grant:Awesome. Likewise.

2:06Corey:Well, I guess to start off, so GenSpark started with AI search and Spark pages, But now the company is talking about AI workspaces, AI employees and finished deliverables. What makes me wonder, what did you see in user behavior or something like that, maybe even that convinced you search wasn't the final form? 100 percent, Corey. So so so just so you guys know, I'm the least technical co-founder on the team. We have six co-founders, all the other five guys. They know how to code. Some of them built the world's earliest search ranking technologies at companies like Google. Eric, my co-founder, he was early at Bain, worked with Satya and Nadella.

2:50They all knew how the internet worked. And when ChatGabini just came out, it's pretty clear to us how information is going to be served to human beings. It's forever changed. It's no longer going to be one keyword. Everybody sees the same thing. you browse through and then you try finding the useful information for you. Everybody's going to get personalized and customized information. That was the spark that, you know, got JetSpark started to provide the, you know, the next generation search. But then we had good growth. We grew to about 5 million users in a few months after we launched the first product.

3:25Essentially what happens is when you put in a topic with JetSpark that you're interested in, And we would, instead of just search on the web, we would actually do all the research and then put together a customized Spark page for you, multimodal, to basically cover everything, anything related to that topic. And that is just built for you. Wow. That's awesome. Yeah, that was our first product. But then we came to kind of a revelation moment that it seems like everybody's doing that. So, I mean, it just became a norm. Like Perplexity is doing that. ChatGPT is doing that. Like it's pretty clear that is just going to be how information is going to be served.

4:12Even Google is doing that. So we're like, well, so it seems like there's a lot of buzz, but is there a lot of money there? We're not sure. So then we started asking ourselves the question, why do people need information, right? Right. Like curiosity aside, we got to the point where, well, we need information to get the work done. We really wanted to get the work done. So can we then push the AI steps further to actually not only get the information, but actually get work done for the users, for everybody? And then it just so happened beginning of 25, I think. So net 3.7 came out, 01 or 03 came out.

4:53The reasoning capability of the models really came through. and we started seeing the glimpse of hope that, hey, maybe this is a time you could really let the model plan out a whole project and then start executing on it. And now we basically just made the bet that what we believe, there probably is going to be tremendous value if we could push AI to do real work for us. And then we're like, okay, what are we going to build? Well, we decided to build something that is useful to ourselves, the people who we know just intimately. like knowledge workers. And also that's because we have about 30 million coders, software developers in the world, but we have a billion plus knowledge workers.

5:36So we're like, okay, let's work for a bigger audience.

5:38Grant:Bigger town. Yeah, exactly. So that's how we launched our Jenspark AI Workspace 1.0, which we also call Jenspark Superagent, with the goal to essentially build AI that does not only just talk to you, But it also just really gets the work done for you. And within, I think, 45 days or a month, I can't remember, we got to about 2 million users and people started paying less. The AR was grown through the roof. Yeah. That's awesome. There must be something. Let's keep going. Yeah. So that's when we doubled down and kept building, kept releasing new AI agents on a weekly or biweekly basis. and by month five, we broke$50 million ARR.

6:27By month nine, we broke$100 million ARR. And by month, that was toward the end of last year. And before that, we didn't spend a single advertisement dollar. And then right after that, we're like, the signal is real. Let's put the fuel on the fire. That's when we bought the Super Bowl commercial, halftime, fourth quarter. It was a lot of fun. And I started doing out. Yes. Yes. Our web search traffic went up 6 ,000 % according to some people.

6:57Grant:Never underestimate the Super Bowl. That's wild. Yes. And then we started doing outdoor campaigns in New York and Tokyo because these are the knowledge worker hubs with 10 million plus knowledge workers in these mega cities. And if you're in Manhattan, I'm in New York today, and I've seen some of our ads. It's surreal. Like if you're in Manhattan, you cannot not see Jensbach. That's awesome. Yeah. So we kept going. By the end of February, we added another$100 million AR on top of that$100. So we doubled in two months, and then we added another$50 in the month of March. So it just kept growing.

7:39It's like a wildfire.

7:41Grant:That's wild. That is so awesome. Well, so you mentioned a couple things there that I want to circle back to. So you talked about, you know, you launched Workspace ONE. You're now on Workspace ONE. So I'd love to know, you know, what all you've added since, you know, in those iterations. But also, if you could just tell people who maybe haven't heard of GenSpork before or if they're totally new to it, when you say AI that finishes the work, what does that actually look like? Are we talking about, is it primarily a workflow automation layer? Is it a browser, computer use agent, or something entirely?

8:14Grant:You mentioned you're the least technical of the six companies. So you can keep it high level. It's okay. Sounds good, Grant. You know what? I'll show you. Let's do it. I love it. Why don't I just bring up my screen and let's see it. So this is 4.0, as you said. Initially, when we just got started, the 1.0, I believe we had AI slides, AI sheets, AI docs, and AI chats. And maybe AI call for me or something. All of our agents are here. so we kept adding more new agents. So these are some of the agents we kept adding on. So basically, initially, we just built the basic stuff, like the things we touch every day, right?

9:01I'm a startup founder. I need to pitch to the VCs. I hate building decks. Can it be easier, right? What a great place to start. Yeah, I hate it too. The thing is, you could ask our super agent, why don't we just do it? Let's say, research of not Kostla, the founder of Kostla Ventures, understand his preference in pitch decks and then build me a pitch deck on behalf of the Neuron podcast, raising$10 million from Kostla Ventures to get onto the next phase of growth. and make it splashy but dark background, clean design. Perfect. As you can see, I talked verbally just now. This is our speakly. Good luck.

9:54Talking is, I don't even necessarily. I think the spelling was, maybe it's me. Let me just fix this one thing. I was going to. Oh, yeah. I was going to brag about how.

10:11Grant:No, that was a that's a tricky one, you know. Yeah, that is. Yeah. So so the good thing is it gets better constantly. Wait. Oh, I refreshed these. Let's see it. Let's see.

10:26Corey:I rely on on speech heavily, too. I've really grown to appreciate it. yeah so when we when we speak we're four times faster than typing right um so so yeah that's just uh how you know if you're in our office everybody's talking so um is that ever weird

10:50Grant:is that ever surreal like you walk in and everyone just at their computer talking to themselves yeah i mean so so that to a certain extent it it is a little bit of you know sci-fi vibes but what what i i was just at the wall street journal uh future of everything event i shared on stage with everybody that my goal is by the end of the uh by the end of this year i wanted to cut down 50 of my screen time in front of a computer and get a lot more done while i'm on the go and that is through jens barcloth and and uh i wanted to play more golf i wanted to get things on golf course so yeah yeah this people talking in the office to the computer is kind of a uh transition base um yeah and then eventually they'll be on the golf course talking to their computer as if they were telling their assistant yeah yes yeah so you see so basically um our super agent would get started with your uh research basically taking up on everything anything that is online available about what Vinod Coastal prefers when it comes to a pitch deck.

12:00And then these are the principles, right? Okay. So these are the principles. This is very specific. You could do this with Sequoia. They have a template. You could do this with Benchmark. You could do this with any venture firm you wanted to pitch to. That's awesome. I didn't know that. Yeah, same goes with all your customers. So the world of having one cookie-cutter piece of content for everybody is long gone. You cannot afford to burn few tokens and really just customize the information, customize the content for everybody that you're trying to cater to, right? You're trying to do business with.

12:32So as you can see, this is a pretty simple task. So our super – wow. Damn, it's quick. That was cool. So yeah, on the left side, so we released the world's first mixture of agents tech architecture. So what that means is we sit on top of 70-plus state-of-the-art models. We work with OpenAI. We work with Anthropic. We work with Google. We work with all the open-weight models. And so what we do is we do model actuation. So because all of these models are good at different things, for example, the GPT models used to be really good at reasoning. Cloud models are better at coding. And Google models are better at image and video.

13:12And when it comes to visualizing data, we ask open-weight models to write Python coding, driven notebook to really put the chart together and then put it back on to these slides instead of just asking an image generation video to generate the charts. That doesn't really work, right? So it matters how you kind of take advantage of the strength of each of these models. And what we do is here, the super agent would call on the recently model to build a work plan. This is a simple task, so three tasks remaining. It basically built a very simple plan. And then when it comes to putting together slides, as you saw, the code is written through possibly cloud models in HTML and to render slides.

13:54And then when it comes to data, like, you know, this, even as simple as this chart, this is not image generated, right? Like underneath, it's Python code that we wrote through our tools. So basically, yeah, on top of the models, we also understand the LLMs are like brains. They're intelligent, but they don't have arms and legs by themselves to touch the real world, to do real work. So basically, we said, you know what? We're going to build out the tools for the LLMs to use to really do things for you beyond just talking to you, right? So that's a difference. You can see it as kind of GBD chats, clock codes, and JetSpark does real work for you.

14:40That's kind of the difference there. I forgot to tell it to just go five pages, but now it's still going. It's all right. This is 16 pages. You see? Raising 10 minutes, build Next Media Empire. Podcasts are the last unbundled Media Empire. It has some data, did research. Five million podcasts.

15:04Corey:99 % of them. Yeah, this is like, you can use this, you can send this to Monaco, to be honest. We should use this, Corey.

15:13Grant:We should try to raise some money. For real, I mean, I have no idea how the podcast business works, but yeah, like, imagine how, but we're just talking here, and it could just get so much done for us. we've talked to some of the biggest corporations that they have dedicated offices building hundreds if not thousands of slide decks a day it's insane wow yeah there are slide deck factories out there so uh when they saw this like people in the consulting world in the advertisement agencies world in the real estate world they were like oh wow this thing is just built for us um doesn't matter if it's you know small businesses big corporations they were like yeah let's i mean Let's just jump on.

15:58And what we really learned is when people are making a lot more money off what they spend, it's a no-brainer, right? Yeah. Yeah. So I talked to some of our power users. I was like, yeah. Why do you spend so much money on Jazz Park? I talked to this power user of ours, Savvy. He runs this business with 600 sales agents under him selling payment devices from Clover, from Square, and so on. And before, it was like Google Sheets, Slack, and Notion. That's it. That's his operating system. He does all the manual data entry. And now he built his entire business on Jetsbar Claw. He named his Claw Goose.

16:41He talks to Goose all the time. And Goose does everything for him from his business to plan out his grocery and so on. So if he let Goose spend money, Goose could just get Instacart right into his fridge. It's like, yeah, I mean, he spends$2 ,000 a month on JetSpark. Wow. It's insane. Wow. But I asked him, like, why? He said, I make a lot more, and this is way better than hiring someone from the Philippines for me. Because this thing codes. It could write all the webhook stuff that he's into and then just automate a lot of processes. I was completely blown away. I probably understood 30 % of what he was doing.

17:20So it's insane. We can relate to that.

17:23Corey:We talked to some smart folks.

17:26Grant:I want to talk about that for a minute. So it's based on a credit system, right? So technically he could, you know, the sky's the limit in terms of if he's like, hey, I'm getting a lot of value out of this. I can just buy more credits and then continue using it. Yeah. There's no sort of rate limits like there is with Claude or any of that stuff. So, yeah.

18:16Yeah, one bill. Exactly. So basically, you pay$25 a month to get access to all the Frontier stuff on the market. And you don't have to think about when to use what if you don't want to. Our system would just make sure because you don't need a Opus 4.7 for everything. That's like not necessary. Yeah. So, yeah. But it is also important to have access to it so that the performance ceiling of this whole eugenic system for you is up there. It's not limited by just cheap models or whatnot, right? So you want to have access to the full spectrum of AI, agentic AI capabilities. But it's optionality. I mean, think about it.

18:58If you were paying for a Gemini, a Claude, and a ChatGP, they add up, right? All of a sudden, it's like$100 just for the subscription.

19:09Corey:You're at$60 with the cheapest model, with the cheapest one. Exactly, exactly. So yeah.

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19:14Grant:And you also have to figure out all of this engineering and harnessing yourself. Exactly. Yeah. One of the best benefits you have here, because one of the things I've been struggling with with the frontier models is trying to figure out exactly the best way to build essentially something like what you've built here, where for myself, where I'm just saying, hey, I have a lot of recurring tasks that I need to do in any given week. and how do I build skill systems that help me, you know, essentially solve all these problems for myself, but I have to connect it to all of these different applications.

19:47Grant:So it looks like here you have connectors as well. Is that correct? Yeah, let's take a look. So from a connector standpoint, we totally understand a lot of our data sits in different systems. And look, here's the thing. The world used to be one that is tool-centric. Each of us would have to learn how to use 20, 30, 40 tools to get our work done. And people used to get certifications for being good at Excel. That was a thing. So those days are long gone. You no longer have to get certified for being good at Excel anymore. What happens is now you can just connect your JazzBark. And then JazzBark will learn how to use all of these tools and move, edit, delete, and then just make changes to all of these data for you.

20:31So, yeah, to that, like connectors to all mainstream stuff, Google Suite, Microsoft Suite, Notion, Slack, HopSpot, Pipedrive, GitHub, Box, anything, everything, Zoom, MailChimp, all of these integrations. Beyond that, we also support different super base and so on for the AI developers and so on, financial data. And we also support over 650 MCP servers today. So you can even set up –

21:04Corey:Even the Reddit MCP. What's that? Even the Reddit MCP. I like it. Yes, yes. And you can have your own MCP server set up for you. So we understand the world is entering into a human-centric world. So none of us – the boundaries among all of these tools are disappearing, and you probably saw the ex-post by Mark Vinioff saying that Salesforce has gone headless. So we see the world exactly the same way. Basically, the legacy software is taking a step back to become the infrastructure for agents, and we're building the agent to work for human beings to use the software tools on their behalf. so we're getting elevated everybody's a boss now you just have a fleet of goldman sachs and alice running in your pocket doing things for you is basically the case how would you um launch your

21:56Grant:own aid like can you create your own agent on here i know you have a lot of built-in ones yeah like you could you could build a creative designer coding assistant and then you can configure configure it basically for example say um we can say hey build me a executive assistant for Grant at the Neuron podcast. And he loves chocolate cookies. I do. It's true. So, yeah, basically, this is where you get into the custom agents. Yeah. Okay, perfect. And then once you tap onto that, you come to this page. And then once you click on create new, there are a bunch of other agents you could use. But once you click on create new, you could just get in here.

22:50The process of working is similar in a way that now it's building the grant's executive assistant agent for you. Yeah, amazing. So, okay. It's like, oh, yeah, it is. Yeah, we can publish it now. Put this to the test. Yeah. Yeah. Okay. That was fast. It was fast. Okay. Let's try it out. Who are you? What are you here for? Hi there. And yeah, what's your purpose?

23:26Grant:I'm Genspark, Grant's executive assistant. I'm here to keep track of the latest AI companies and agentic systems, deliver Grant's morning briefings, and prepare board-ready reports based on the Neuron podcast. If you need anything related to Grant's work, just let me know.

23:46Grant:Grant's big on AI and agentic systems, loves chocolate cookies, and has a soft spot for the show. Yeah, thank you. Anything I can help you with along those lines? That's cool. And then, so, would I have to do any sort of extra work to connect it? Like, let's say I wanted it to look at Reddit. Let's say I wanted it to look at, you know, the websites that I check every day. what could I do from this point now when this is set up? You just tell, hey, moving forward, please remember to check Reddit. And what else you said it would be? Whatever other words. Let's say, like, let's check Reddit. Let's check TechCrunch and all the tech blogs that publish about AI.

24:24No.

24:26Grant:TechCrunch as well. I'll keep checking Reddit and any other sources you find helpful. Great. Just let me know what else you'd like included.

24:34Corey:This is exactly how this should work.

24:36Grant:I'll make sure to keep checking TechCrunch, too. If anything else comes to mind, just let me know. So, look, yeah. So, this is a custom agent that lives on our cloud in front, which is Microsoft Azure. So, you can give your custom agent more and more and more context whenever you feel you want it to. and on top of that you can also set up your claw jensbark claw which works i'm gonna ask about jensbark claw yes it's even cooler for people who don't know so what is open claw we we've talked about it on our show and we've talked about it you know in our newsletter but you know how how do you understand it and if you could just give people a quick review of what it is so basically um my My understanding is this, Grant.

25:30When Chagibiti just came out, the way human beings interact with AI is we go to AI. We go to Chagibiti.com or we go to Jenspark.ai and we do single sessions. Maybe a talking session, maybe a project session. There's no true memory. There may be preferences saved somewhere, but it's like session by session. Every time it's a complete new session. Today, with the open-claw framework, what happens is, one, the AI follows us wherever we go. Let's take a look.

26:03Corey:I'm an open-claw junkie, so you have my curiosity. So on a higher level, the technology or the framework is similar. But we know that not everybody is as technical as you gentlemen here. Buying a Mac mini, setting up Node.js scripts, and then getting the API keys is no joke for a normal, non-technical person like myself. Absolutely. It scares me. And trying to make sure it's all safe and secure, it's a lot. So what we did was, you know what? We see the tremendous benefits of running long memories and then allowing your agent to do long horizon tasks. but how to save that trouble for our 1 billion plus non-technical target audience.

26:54We say, yo, we're just going to rent a virtual machine on Microsoft Azure for you and we'll set up OpenClaw on that machine for you. And all you need to do is click a button saying that I want access to this and that it's up and running. So if we click on Gensbart Claw here, it's the same thing, right? You can connect all kinds of channels. Is your claw in the cloud too or running locally? So we have both now. Okay. Yeah. So that's such a great question, Corey. So this claw you're looking at, I'm accessing it through a browser, and this is behind it, I'll show you. It's a virtual machine. So you can see open remote desktop.

27:35So this is a virtual machine. Sharing this tab.

27:44and so basically, yeah, this is my LinkedIn. It opened up. I asked it to add everybody who I met at this event on LinkedIn for me. Nice. I don't have the click of the button. But, yeah, it's a virtual machine. But if you – yeah, this is like – this is a Microsoft Azure computer at the same time.

28:08Grant:So basically what we're looking at is the computer that the agent is running on right now. Correct. So if you were to click on that randomly at any point in the day, would you be able to see what your agent is doing technically? Yeah, let's see it. So let's say, okay, buy a cup of coffee for Corey, who is in St. Louis. Ready to continue. Who is in L.A. for me. I'll give you their addresses shortly. Feel free to use my DoorDash account. That's a good callback. We just tried to set up a DoorDash agent last week. Sure. Okay, so Corey is at the 123 Main Street. Grant is in Hollywood. I don't know.

28:59Sunset Boulevard 1234.

29:06Let's see what happens here.

29:08Grant:I'm tempted to give you my actual address.

29:10Corey:Let me set up those coffee orders now.

29:12Grant:What's that? I'm tempted to give you my actual address. I'm on it. I'll let you know as soon as the orders are confirmed. Let's get it. I don't know if I want to dox myself. Maybe we'll take that part out.

29:29Grant:It looks like we need to log in to DoorDash first, and we'll need to place separate orders with the coffee details. Could you log in and let me know what type of coffee you'd like for each? So in the very beginning, it does require, yeah, log in. So let's see what happens here. Yeah. Let me check on that for you.

29:44Corey:DoorDash stumped us the other day. We tried to do that last week on another tool. Oh, really? Yeah. And had DoorDash problems, it felt like. Okay. Yeah. I see. It was on their side. Yeah, let's see if Desperate Cloud could come through. um you know something i think is is really cool here that you've done and especially with the claw but not just with that and and you mentioned it was this idea that for normal people a lot of this stuff has been inaccessible like like open claw is awesome if you can do it and if you get it and same with these other edges but the fact is most people are not technical enough for for that approach or that amount of troubleshooting that comes with it sometimes.

30:30Corey:To have simplified that in an easy way is really cool.

30:37Grant:So this is all the agent operating right now? Is that what's happening? So let's see what's happening. It says I'm not logged in. This is me. I'll just log in for the agent. Is there any sort of indicator? Because I know when you use let's say like GPT agent, for example, you know, it's all in that sandbox and there's the window and it gives you the option to click and take over. Is there any sort of indicator, you know, perhaps that we can't see that says like when you're controlling it versus when the agent's controlling it? Or do you both control at the same time and you compete for the mouse?

31:14That's a great question, Grant. So for the computer use, I could use the computer. The agent could use the computer. We could compete. We could do it separately on separate tabs at the same time now for the browser use we would basically it'll have the the blue thing that that'll it'll tell you it has taken over um so that's browser use yeah but here i'll just uh tell okay so yeah uh let's just get latte for uh both of them from the closest the starbucks or not or so um and yeah feel free to uh operate now typically i do this through my whatsapp i I don't even come into the –

31:50Corey:I use Telegram for my claw work. All of these channels, WhatsApp, Slack, Line, Telegram, Microsoft Teams, all of these, you can basically kind of in and you can talk to your claw, your dedicated agent like 24-7, and it'll just do things for you, not only using the agentic capabilities, for example, but also it could open up a browser. It could operate the browser. It could anything that human beings could do, the agent would be able to do for you. So the AI follows you, and it's not just a single set. It runs a long memory of you. I've told my priorities, and whenever it does anything for me, like scheduling meetings and or just setting up new conversations with the clients and so on.

32:47It always check on that priority list to see if this is a good use of time. So basically the progress we're seeing is the feeling of human AI interaction is getting closer and closer to human and human interaction. Yeah. That is kind of, yeah. I would say though, this may not be the last innovation in the year. We probably would see even more powerful things coming up because even with OpenClaw kind of a framework, even with Jens Bar Claw, sometimes it's fast, it's amazing, it does a lot of good work for us. You still see kind of certain gaps like, oh, that's a common sense thing. Why don't you just get it?

33:32There are still like, of course, we have a high bar. But what I'm trying to say is, yeah, we're in the beginning of the beginning, and it is just amazing to see how quickly AI could become something. Not only it talks to you like a human, it actually does things for you like a human, and it remembers things now for you like a human. It's just, yeah.

33:56Corey:Yeah, and we're only at this moment, what, less than four months removed from the Open Claw moment when it first released? So, I mean, the truth is we're, you know, this is still brand new. That there are already, there's already solutions that work in a way that is more user friendly is really encouraging. I can't imagine by the end of this year that everyone doesn't have one of these. I couldn't agree more. I think. That probably works easier than we could dream of right now, if I had to guess. Yeah, yeah. Look, I would say the exciting thing about, you know, this is really an exciting time to be alive.

34:36It's things are moving so quickly, right? Like new things are coming out every day. And I would say, yeah, any product on the market, it may not be perfect, but you're seeing magical moments just popping up constantly. That is kind of what we're experiencing. I'm sure there will be more polishing work falling in the future days, whatnot. But right now, it's like an explosion of innovations. That is just, yeah, insane. Like, yeah, I mean, you asked me a question earlier.

35:14What Jetsbark initially did and then what is 4.0? I mean, at this point, yeah, 4.0, we launched the club. but also like we have the creative suite, like beyond the, you know, dark slides, whatnot, you have image video, you can do developments. Basically, we can build a song about your podcast right now in a couple of minutes, a theme song. Oh, wow. To your preference that you own the IP. So. I love that. Let's, yeah. On that subject,

35:42Corey:I have a quick question for you. We're getting, I noticed we're just a few minutes from time here and I don't want to, I want to be respectful of that for you. But as a business owner, going through what you all are going through right now, how do you keep up with the pace and ensure that, like, you have things in here that are extremely current, in my opinion. And I'm wondering, how do you keep up with that? It's a whirlwind, Corey. I'll be honest. When we first launched Jazzburg, AI Workspace 1.0, we did not have the expectation that it's going to go like this. But it's amazing. It's overwhelming at the same time.

36:22It's just so exciting. I mean, yeah, I'm having fun. It's also, you know, there are new challenges constantly. Like when we first launched, it was really a product for individuals. And by summertime, a lot of corporations started reaching out, you know, consulting firms in Chicago, auditing firms in Atlanta, you know, insurance companies in Hartford and San Francisco, you know, PD firms in Japan, management banks from London. and oil gas companies from Bogota, Colombia, government agency from Dubai. They were like, oh, our employees used their solution. They loved it. They wanted us to pay for it.

36:56Do you have a business offering? We're like, what do you mean? You can just swipe the card. They were like, no, no, no. We need to centralize the billing. We need SSO. We need SOC 2 Type 2. We need all the enterprise stuff. That is when we got into the motion of, yo, what? We need to build this out because eventually we wanted to serve prosumers, power users, but also the Fortune 2000s. And we launched Jenspark for business back in November, right before Thanksgiving. And just last week or two weeks ago, I checked, we have now over 5 ,000 business customers. So that sort of change, that sort of change is like, right?

37:34It's insane. Yeah. This is absolutely, I'd say, on the one hand, unfathomable, and on the other hand, impossible in the old days. But today it's also possible because at GenSpark, today near 100 % of code is written by AI.

37:54Corey:Yeah. Wow.

37:55Grant:Do you use GenSpark to build GenSpark? Oh, sorry to cut you off, but do you use GenSpark to build GenSpark? So not exclusively. We absolutely use Jenspark to build Jenspark, but we also use – so, for example, our landing pages, it's like Jenspark. But we also use other amazing tools on market. Like, for example, earlier it was Cursor and then later on ClockCode, CodeDax. So, yeah, I mean, we're a believer of this amazing, this great time. And we are absolutely in it to basically just go all in. We're absolutely fully native because we see some of the really successful tech giants struggle with building new things because they have too much burden to kind of patch on.

38:55Like if you have – yeah, so for us, clean slate. We architected our technologies three layers as we talk about. And for us to build new AI agents, it's like just the speed of – our company is basically speed of an individual. We don't have like front-end, back-end, design, DevOps teams. No, it's like every one or one of two engineers lead one full project or product, and they can just run with it.

39:20Corey:Say three years from now, where do you see GenSpark? We believe deeply that with this wave of AI breakthroughs, humanity finally arrives at this historical point where we no longer have to work. We can choose to work. And at least we no longer have to do the busy work in order to achieve the real business results. And we're in for that mission. We wanted to free all human beings from the mundane, busy work so that we can decide if we wanted to work harder and earn more, do more, or we want to just take a step back and chill and then just enjoy life, spend time with families and so on. That's completely up to you, but it's about more freedom.

40:02It's about more freedom. It's about creating a lot more freedom for each and every of us. We're all different. Yes, some people like to hustle. Some people like to chill. That is all good. But the important thing is to give all of us a lot more freedom. And how to do that? You just autopilot all the busy work. And you kill the busy work, but you create a lot more new jobs. Yeah, because we're seeing a lot of these companies, if you're good at AI, you get promoted these days. We see new job titles popping up, AI specialists. I've never seen that before until someone told me, you should search on LinkedIn.

40:40I searched it. Oh, my God.

40:42Corey:Yeah, there's about 40 names it might go by too.

40:45Grant:Yeah, yeah, yeah, exactly. The two lightning round questions I have. So the first one is we mentioned the Git server. Could you just very briefly explain why that's needed? And then the second question, which you can answer right after, is if people are using, you know, you have so many capabilities in here, there's a lot of power. If people are using GenSpark for the first time, what do you recommend they do? What's their, what flow should they start with? So those are the two questions. Yeah, yeah, definitely. So on the Git, basically, Grant, what we're seeing is we're seeing a lot more teams and organizations started using Genspark.

41:21And there are possibly years of experience insights within these companies. and it has always been a struggle that there was no like organizational or even for a single person kind of that memory or that knowledge base. It's just so difficult to do the kind of the search thing and that really truly synthesize all the information and make good use of it. And the world is moving toward one that, you know, human beings just interact with AI agents and AI agents does a lot of these work. So we basically – this probably got sparked by Andrew Kparthy's one expo saying that, hey, it would be amazing if there's a wiki or something for the agents.

42:02Well, that makes perfect sense. And the Git technology by itself is born to do this, right? So we're like, okay, why don't we just build this out to benefit all the people out there who want it to have – because memory is a huge thing for us to approach the next level of agentic capabilities. and we have Michael Von der Jesting, he scaled technologies like Facebook Messenger from zero to billions of users, also founding member PyTorch he's like, I know exactly how to do this so that was just it was, yeah

42:32Grant:and then 30 seconds if people want to use GenSpark where do they go and what's the first thing they should build with it? You go to GenSpark.ai like I'll show you quickly here on the screen yeah, GenSpark.ai GenSpark.ai And then first thing is anything that you want, truly, because I've seen, you know, I've seen, you know, dev shops asking Jenspark to build a full website on Shopify for them and then just deploy and then, you know, just charging their clients for six, seven thousand dollars. And they pay it past twenty five dollars a month. I've seen business, you know, brokers, consultants securing bank loans with Jenspark by building up the full market analysis, financial models and the pitch deck to the banks, securing millions of dollars.

43:16Wow. I've seen, yeah, marketers building on marketing materials and then packaging up a whole project, you know, just to deliver it to their clients and that really make their lives a lot easier. All kinds of things. As long as it is leveraging AI to get the work done and to earn you more money, James Bart got this.

43:35Corey:Well, Wynn, thank you so much for joining us today, man. This has been a lot of fun. It's been really cool to check out your tool with you. Absolutely, Corey. Thank you. Thank you, Grant. This is amazing. and hope we can launch more new agents and then come up onto the show again soon. Excellent. Yeah, absolutely. And gensmart.ai? Yes, that's it. Cool. Go check it out, everyone. One quick note before we sign off. First, please remember to hit like and subscribe above so you don't miss any future or past conversations as well as our weekly live sessions. Also, if you're trying to keep up with this space, likely all are, and it feels like a lot because it is, that's basically why we write the neuron every day.

44:13Corey:It's a short daily breakdown of what actually matters in the AI space. Pop by and subscribe today at the neuron.ai. And that's all we have for today, folks. Farewell for now, humans.

From the publisher

Genspark went from AI search startup to autonomous AI agent platform, hitting $250M ARR in 12 months with no paid ads until they bought a Super Bowl spot.


Co-founder and COO Wen Sang joins Corey and Grant to explain what "AI employee" actually means, demos Genspark Claw live (including buying us coffee mid-interview), and lays out his big thesis: legacy software is becoming infrastructure while AI agents become the new interface between humans and work.


We get hands-on with Workspace 4.0, Claw, and a custom agent built live for the show.


• Genspark Workspace 4.0 announcement: https://www.genspark.ai/blog/genspark-ai-workspace-4

• Genspark sb-git: https://genspark.ai/sb-git/intro

• OpenAI's customer story on Genspark: https://openai.com/index/genspark/

• Forbes AI 50 (2026): https://www.forbes.com/lists/ai50/

• Marc Benioff on Salesforce Headless 360 (referenced by Wen): https://x.com/Benioff

• Andrej Karpathy's "wiki for agents" idea (referenced as inspiration for sb-git): https://x.com/karpathy

• Wen on the DealMaker Show: https://alejandrocremades.com/wen-sang/


Try Genspark for free: https://genspark.ai


Subscribe to The Neuron newsletter: https://theneuron.ai

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