Transcript of Agentic AI Is Here: How ATOMS Turns Ideas into Revenue with Ethan Ouyang

Instead of helping people write code faster, we help them make decisions, execute and monetize more on the end-to-end side. You can imagine in a single prompt, Atoms can research market, design a product, then build a system, launch it, and they can even optimize revenue for you. We have SEO agents as well. With all these multi-agents, they coordinate, they orchestrate, and they run a very good efficiency, and they deliver end-to-end.

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What's up, guys? Welcome to Right About Now. We're always talking about what's here, what's now, and what's more now than AI. Two letters that you shouldn't be scared of, but you should be maximizing to get the most out of your business, out of your life. It That isn't going away. That genie isn't going back in the bottle. But that's why we bring the best, the brightest, the coolest companies doing all kinds of innovative things today. We're talking about splitting things. We're not splitting atoms. We're talking about how you split up and do a million different things with one tool. I can tell you more. His name is Ethan O'Yang. He is the head of US Department of Adams. It's the deep wisdom. It's the parent company. What's up, Ethan? Hi, Ryan. How are you? I'm great, man. Thanks for coming on. I always like talking AI. I like demystifying it a little bit. I think we're getting past it. A lot of people are using it. I don't even think we've scratched the surface of how capable it truly can be. I know that's a lot of what you guys are working on. What says you about the landscape of AI in business right now, Ethan?

I can give you a brief introduction about our product, Atoms, first. Then we can talk more about, in general, about the AI and all these related businesses. But first, Atoms is a multi-agent system for building revenue-ready products with our autonomous AI team. So instead of helping people write code faster, we help them make decisions, execute and monetize more on the end-to-end side. You can imagine in a single prompt, Atoms can research market, design a product, then build a system, launch it, and they can even optimize revenue for you. We have CEO agents as well. With all this multi-agents, they coordinate, they orchestrate, and they run you very good efficiency, and they deliver end-to-end.

Really fascinating. Essentially, I'd call it a business in a box. It's turnkey, all done by AI in a way. Am I describing that right, Ethan? Is that essentially what this is? Exactly, yes. We have an affluent audience. They understand business, they understand AI at a high level. I think a agentic AI, though, is a little bit misunderstood and not completely leveraged the way it can be. Talk to me about the way deep wisdom in Adams leverages these agents within the platform.

Most AI tools today are still a system. They wait for instructions and optimize isolated tasks, coding or copywriting. I think Atoms is fundamentally different. This is not just code or just implementations. It's decisions. Atoms run the full decision loop autonomously. Research, planning, execution, and iteration. We don't help people just build or work faster. It comes to work on their behalf or with prompts. On the technical level, it isn't a single model or just prompt. It's a system problem. What's a priority for us is how agents coordinate, plan over no horizons, and actually execute in real environments, not just reason in isolation. On the other hand, our company and our team have spent years publishing and open sourcing the foundations. We have a website called Foundation Agents O. O. C. Actually published a lot of top researchers all over the world. Our team try to gather everybody together and try to focus on the same thing. It's called foundation agents. Our system is built on top of that research and on top of those theories.

Ethan, so if I need to train an agent, I need to build an agent, I need to call Nathan. Is that what you're telling me? Yeah.

You can always call me. Or you can use Atoms to build your own agent or own SaaS platform as well.

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It's like prompt and prompt and prompt, versus truly training and then real business decisions take place based on that training. Give some examples of how deep that can go with the decision making of an agent and activities they can actually do based on their own reasoning.

We have always seen a lot of use cases or a lot of products built from Atoms. One example could be like a DTC brand, direct to consumer brand. So maybe you are a designer, you have your own taste of designs, and you only have a rough idea and a few sketches, and then you probably upload to Atoms and they ask Atoms, Hey, according to what I have, how to build a product that can sell. Then Atoms will... The multi-agent system just ramp up. They start and then the first start building first because they don't even know what to build with this limited the information. Our deep research agent will start to do a deep research first and try to explore the market and see what's actually the opportunities here in the market. Then they will give you some recommendations and solid data for you. Actually, that's the phase that actually you can learn. You better understand what you actually want to do. Because most of the time when you prompt, maybe you don't even have the full picture of what the product look like. Maybe you haven't thought through yet, but this will help you think through.

Then you approve or say, Hey, this is not what I want. You want to more. Then you can iterate, you can keep prompting. After you made the decisions, you align with agents and they will start building. When you build, there's a cool feature called Rase Mode. The system can use different models or foundation models to actually give you the first MVP version of the product and you can choose the one you like most. Then you can continue with that version, with that model, a large language model. Then it starts with the execution phase. In the execution phase, we keep human in the loop. Your human can make the creative decisions. Most of the time, agents will just run and implement testing for you. And then eventually, you can publish and then our SEO agents can also help with optimizing the revenues. This is an example that we build things and we communicate with people, and everything is delivered end-to-end. People don't have to have a It's a pretty clear idea. They don't have to control everything. They just need to make key decision.

Yeah. So they become the manager, but not necessarily at a level where they know everything, how it's getting done. They're just controlling what gets done. We used to live in a world where the how really mattered because to get it done, you needed to know how. Now it's more, what do you want? In a lot of ways. Yeah.

Or you can find some people, you can hire some people, they know how. But I think that's way more expensive or takes more time. And it takes time and.

Are we replacing ourselves, Ethan? Is that what's happening?

No, no. It's just the focus is different now because originally, when you have an idea, you don't even know if it's a good idea or not. You don't even know it's going to make revenues or not. You have to get some resources first. You don't need to hire people to actually implement for you. Then you go to the testing phase. But now the execution is near instant. The judgment, the taste become more important. That really changes who gets to build a company or who gets to build a product. You have your own resources, you have your own judgment, your own taste, your own preference. You can go ahead and try and test, and then you'll probably find something that's better. You are also growing. People are also growing from this situation.

Yeah, you get knowledge. I came up in a time working with brands and doing marketing. Spent hundreds of thousands of dollars in months and months. Big brands had that. But now it's more accessible for this research and knowledge that used to be only attainable by large corporations. It's now attainable to guide small business decisions. And that's where the power of this comes from for the entrepreneurs that are willing to put their, Oh, I got an idea to the side, and go, Oh, I got an idea, and it can actually generate revenue. Talk to me, Ethan, about what we ultimately output here, because I go to a lot of different places. Ecom and D2C makes a lot of sense. Are you familiar with like Base 44? Yeah, I've heard that. App building. It's prompt to app. It is all of that capability built into Adams as well, that it can literally give you from prompt to visualization. I know that your tool does more than that, but does it have that capability if you want to do a SaaS-based or develop a tool that's used internally in a company or something? Is all of that here as well?

Yes.

Actually, that's one of the reasons we call our product Atoms. Our product is built on top of a lot of unit features or functions. There's so many features or functions living in the software world, about database, about storage, about payments. You need to be able to receive money and pay money to buy stuff. Also about recommendations, about deployments. After the code is built, you need to have a container or deploy your web or your application to the car. Everything end-to-end. And those These are the core features we support. You can preview your product, you can basically store your data. We can support like logging and log out. There's a chemistry effect. If we use one ID for users, we can also implement And we can also support the recommendations feature. If you build an e-commerce website, we have a building recommendation engine for you to log in and then see, Hey, this product looks fine. I probably want to buy that. But actually, that's because we have some building features inside. We have all these features. That's the very core capabilities for our product.

I'm very familiar with Base 44. I've used it to develop several apps. It's visualizing the app on the screen to the right. You got to write a left prompt, give me a database and log in for admin and users on app platform that looks like this example that does these things, building it in web app environment that is usable right then.

Exactly. That's our core capability. That's only part of the entry and flow. It's more on the execution phase. That's also very important. Execution is very important.

Ethan, I know that the tool, 80% less cost than a lot of other tools. So Ethan, talk to me about cost here. What can people expect?

We have our own foundation agents department, or this group. We have spent years publishing. That really give us the cost efficiency from our algorithms and how we orchestrate our multi-agents and how we design our system. Everything is more on the technical side. Those researchers really help a lot. And also, on the other hand, we model agnostic on the back-end. So basically, we use different foundation models. Sometimes we use open-source foundation models, which is way cheaper than those closed-source models. So it depends on the task. We have a good way to try to deliver the same impact, deliver the same performance with the same cost. That's our advantage, and that's pure technology.

It's a little meta, to be honest. You're using AI, I bet, to pick what AI you use, model what LLM, in a way. That's what it sounds like. Am I hearing correct? Yeah, we are an AI native company.

Everybody Everybody in the company uses AI, not just engineers. In a classic software company, you may see designers and test engineers, back and front engineers. Now we are going to AI native, and our designers can also use AI to create the prototypes or docs. Our engineers are more end-to-end. They use AI to write better performance code, and they use AI's help to actually co-design the system.

I'd just say for It's a personal experience. Back to this change of how to do it versus what you get. I find you have to be really good at debugging. That's a skill set when I've been doing apps that's getting underneath the right questions to ask, not how it gets done. But asking in a way that you sort out the things that inevitably come up. I'm just speaking from experience with Base 44, developing tools and apps and things. Inevitably, you run into these mismash of code that an activity you expect to happen does not happen. And they have self-correction in a way, but it's not always perfect. Help me understand how Adams works through those types of challenges and things when building out tools.

Yeah, there are two aspects. One is from our product side, we keep polishing and improving our product. From internal, we've been like killing bugs in our system. And that will help the system to create less bugs or create more reliable or more higher-performed outputs. And that's the thing that we are iterating We're also having a lot of talent joining our company and try to optimize those, upgrade and optimize our product. That's one thing. And on the other hand, for the user experience, we are posting blogs, we are posting documents and Q&A's to majority of our users, because most of the time our users don't know how to work. They don't have an engineering background, but that's fine. Actually, they are our targeted audiences. And so we just try to help them on board and we try to help them feel more better when they see about. They should know it's not the end of the world. You have a way to make it work, but just need to be patient and just need to probably use the correct way. We try to give them support, as many support as possible, two aspects.

How sophisticated can Atoms go and who is the ideal customer for Atoms?

Our product is a global product. We call it Atoms. We launched in US, but actually it's launched worldwide. It's targeting on solo funders, indie hackers, or small business or small teams who doesn't We have that many resources or domain knowledge, which means most of the time you need a big team to have all this knowledge in the house, in the room. That's our targeting audiences. And in terms of what we can build, I can give you some examples. I already give you a DTC consumer brand example, and we have some more re-use cases we collected from our existing users, like a businessman who runs window cleaning business and they use to rely on multiple apps to get things done. Now they build a single application that brings together booking, estimate, scheduling, and the customer documents in one place, and then that app can also handle payments. Everything you can... That's why we call it Atoms. The business depends on what features or what the actual requirements you need. Then we just provide those features. Our AI agents try to Select and try to query to select and to build on your requirement or your request.

With this combination, you can build whatever you want to build, almost. Because we are not saying we're supporting all these features you can imagine, but we are iterating. We keep adding the recommendation feature maybe in the future. So it's not currently not now because it's more on the data side. We probably need more data when it's actually getting top priority. That's one example. Also, we've seen the Florida-based insurance company use Atent to build their landing pages and also all these queries on their features inside their company to brand their products.

Ethan, where can everyone learn more about the software, website details, social media? Give any of those details for our audience.

We have atoms. Dev. That's our official website. And you can just visit that website and you can sign up or you can try free and try to build your own stuff. We have all this social media on live. We post on X. It's also called atoms. Dev. And we have linking for the reason. Talk with me, just feel free to go to linking and X and all this social media. Try to search for us, Ethan.

Thank you for coming on the show, Ethan. Appreciate you having me. Thank you, Ryan.

Thank you for having me.

Hey, guys, you're going to find us, rianisright. Com. You'll find the full episode here with Ethan and and Adams, and Deep Wisdom. They're doing some cool stuff. We'll have links to all of the stuff that Ethan talked about and ways to get in touch with them on social media and learn more. Look, it's not time to fear. It's time to get your ass on it. It's time to do it. That's why we're bringing these guests. We're trying to give you the knowledge to put you ahead right now. We'll see you next time on Right About Now.

This has been Right About Now with Ryan Alford, a RADCAST Network production. Visit rianisright. Com for full audio and video versions the show or to inquire about sponsorship opportunities. Thanks for listening.