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

And the platform makes me no problem. I have many problems, but the platform is not a step away.

“I have the feeling that shopping trip is a platform that can only be obtained. Everything is super integrated and balanced.”

And the time and the money that I can't invest in there is no other way. For all of you in the box. It is true. It is the cost of those tests of Shopify.com to DEA. Instead of helping people write co-faster, we have to make decisions, execute, and the money type. More on the end to end side. You can imagine, in a single-prom, 8-hems can research market, design a product, build a system, launch it,

and even optimize revenue for you. We have SEO agents as well. With all these kind of multi agents, they coordinate, we object and they run your very good efficiency and they deliver entry-end. This is right about now with Ryan Alford, a rad-cast network production. We are the number one business show on the planet with over 1 million downloads a month. Taking the BS out of business for over six years and over 400 episodes.

You ready to start snapping necks and cash and checks? Well, it starts right about now.

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 A. I. 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 isn't going away, that genie isn't going back in the bottle, but that's why we bring the best of 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. You'll tell you more. His name is Ethan. Oh, Yang. He is the head of US Department of atoms. 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 scratch 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 agents first.

And then we can talk about in general about the AI and all these related businesses. The first item is the multi agent system for building revenue-ready products, which are autonomous AI team. So instead of helping people write co-faster, we have to make decisions, execute, and monitor more on the end-to-end side. You can imagine, you know, single-prom, items can research market, design a product, then build a system, launch it, and because even optimites revenue for you, we have a few agents as well. With all these kind of multi agents, they coordinate,

we object and they wrong you where a good efficiency and they deliver entry-and-to-end. Really fascinating. Essentially, I'd call it a business in a box.

“Like, it's turned key, 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. The big agintic AI, though, is a little bit misunderstood and not completely leveraged to the way it can be. Talk to me about the way deep wisdom and atoms leverages these agents within the platform. Most AI's tools today are still assistance. They weigh for instructions and optimize isolated tasks coding or copyrighting. I think A-times is fundamentally different. This is not just code or just implementations.

These decisions, atoms run the food decision loop, appalling, autonomy, research, planning, execution, and iteration. We don't help people just build or work faster. They tend to work on their behalf or with prompts. And on the technical level, Ethan's single model or just prompt is a system program. What's priority for us is how agents coordinate plan over normal regions 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 source in the foundations.

We have a website called Foundation Agents, a lot of top researchers of the work. Our team try to gather everybody together and try to focus on the same thing called Foundation Agents. And our system is built on top of that research and on top of those series. Ethan, so if I need to train an agent, I need to build an agent. I need to call Ethan. Is that what you're telling me?

Yeah.

You can always call me, yeah.

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For example, you have a shop with Shopify and business. And you have our own code. With the check-out with the world for the best conversation. That's right, the check-out with the world for the best conversation. The legendary check-out of Shopify is just the shop on your website.

It's just the social media and everything else. That's the music for your work. The video is also released with Shopify. It's easy to get a real help. Now I'm going to ask for some specifics either not like proprietary specifics, but just specifics of capability.

“Because I think people hear these things about agents and decision-making.”

And I don't think they quite understand the level to what you're talking about.

Because as you said, most of it to now you can have these agents, but you're still always prompting them.

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 already seen a lot of use cases that are a lot of products built from items.

One example could be like a DTC brand direct to consumer brand. So maybe you are a designer, you have your own taste of design and you only have a rough idea and a few sketches. And then you probably upload to items and they ask items according to what I have. I have to build a product I can sell. And then items will the multi-agent system just ramp up, right?

They start and then the first start building first. Because they don't even know what to build with this like limited information. Our deep research agent will start to do a deep research first and try to explore the market and see what's actually. You have the opportunities here in the market. And then they will give you some recommendations and solid data for you.

And you can actually ask 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 will look like. Maybe you haven't saw through yet, but this will help you think through. And then you approve or say, "Hey, this is not what I want.

You want to work." Then you can iterate and keep prompting. And after you made the decisions, you align with agents and they will start building. And when you build, there's a cool feature called Race Mode. You can use the system to use different models of foundation models to actually give you the first.

And we've version of the product and you can choose the one you like most. And then you can continue with that version, with that model. Imagine a good model. And then it starts with the execution phase. In the execution phase, we keep human in the loop.

You human can make the critical decisions.

Like 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, you know, with optimizing the revenues. This is an example that we build things and we communicate with people. And every things deliver the entry end. People don't have to have a very clear idea.

They don't have to control everything. They just need to make key decisions. Yeah. So they become the manager, but not necessarily at a level where they know everything that 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? A lot of ways. Yeah.

Or you can find some people. You can hire some people. They know how. That's way more expensive. It takes more time.

And then it comes turn time and then I go. 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 idea, you don't even know it's a good idea. You're 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 new instance.

“The judgment, the taste become more important.”

That really changes how who gets to build a company, 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 probably find something that's better. And you're also growing people are also growing from own disease iteration.

Yeah, you get knowledge. I came up in a time working with brands and doing marketing. You spent hundreds of thousands of dollars and months and months.

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 sort of put there. 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 got a lot of different places. Ecom and D to C makes a lot of sense. Are you familiar with like base 44? Yeah, my personal. App building is prompt to app.

It is all of that capability sort of built into atoms as well. That it can literally give you from prompt to visualization. I know that your tool is 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 reason we call our product atoms. Our product is still don't have a lot of unit features or like functions. There's so many features or functions living in the software world right about database about stories about payments. You need to be able to receive money and pay money to buy stuff.

Also about recommendations about deployment after the code is built. You need to have a container or deployed your web or your application to the cloud. Everything ends and those are the core features. We support those like you can preview your product.

You can basically store your data.

We can support like blogging and log out. And there's a time to treat fact. If you use one eight one ID for for users. We can also like implement. We also support the recommendation feature right.

You can build a e-commerce website. We have a building like recommendation engines for using logging and things to see. Hey, this product looks like looks fine. I probably want to buy that.

“Actually, that's because we have some building features inside.”

We have all these features. That's the very core capabilities from our product. I'm very familiar with base 44. I've used it to build 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. We have an app environment that is usable right then exactly. That's our quote.

We've been to that's only part of the entry and flow. It's more on the execution phase. That's also very important. Executions were important. Ethan, I know that the tool 80% less costs than a lot of other tools.

So, Ethan, talk to you about cost here. What can people expect? We have our own foundation agents department. This is the group. We have spent years publishing.

And that really gives us the cost efficiency from our. Our occupations and 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 enough need for the backhand.

So basically, we use different foundation models. Sometimes we use open source foundation models, which is way cheaper than those. We try to deliver the same impact. We deliver the same performance. We still 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. And you're in Greg. Yes. We, AI native company. Everybody in the company uses AI.

It's just like engineers in the classic software company. You may see like designers and test engineers backhand front engineers. Now we go into AI native. And our designers can also use AI to create the prototypes or dogs. And our engineers are more end-to-end.

They use AI to write better performance code. And they use AI to actually code design the system. [Music] I ought to say, for personal experience, back to sort of 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 of 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 mismatch 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 atoms work through those types of challenges and things when sort of building out tools. Yeah, there are two aspects. One is from our product site. We pay polishing and improving our product from internal. We've been like building bugs.

Our system. And that will help the system to pretty less work more reliable or more higher performed outputs. And that's the thing that we are eatery can quickly. We're also having a lot of talents joining our company and trying to optimize our upgrade and optimize our product.

And the only other hand, for the user experience, we are posting blogs.

“We are posting documents and Q&As to majority of our users.”

Because most of the time our users don't know how code work. They don't have an engineering background, but that's fine. Actually, they are our tactic audiences. And so we just tried to help them onboard and try to help them feel more better. When they see about they should know it's not the end of the world.

You have way to make it work, but just need to be patient. And just need to probably use the correct way, which I try to give them support. As many supports as possible to 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 talking on solo funders, indie hackers, or small business or small teams. Who doesn't 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. That's our tactic audiences. And in terms of what we can build, I can give you some examples. I already gave you a DTC consumer brand example. And there we have some more reuse 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.

And now they build a single application that brings together booting, booking, estimate, scheduling, and customer documents in one place. And they also take that app and also handle payments.

“Everything you can, so that's why we call atoms.”

So the business depends on what kind of features or what the actual requirements you need. And then we just provide those features. And our AI agents try to select and try to query to select. And to based on your request and we can build with this combination. You can build whatever you want to build almost, right?

Because we are not saying we're supporting all these kind of features you can imagine. But we are iterating, right? We keep adding the recommendation feature, maybe in the future. And so it's not cutting on now because it's more on the data side. We probably need more data when it's actually getting top priority. That's actually one, for example.

Also like we've seen the Florida phase insurance company use agents built their naming papers. And also all these queries on the like their features inside their company to brand their products.

“Ethan, working everyone learn more about the software website details, social media.”

Give you any of those details for audience. We have ATEM's thought there. That's our official website. And you can just visit that website. And you know, we can sign up or you can try to free and try to put it on stuff.

We have all this social media in life. We post on x. It's also called ATEM's thought there. And then we have linking for the reason. Talk with me just periphery to go to linking in the x and all this social media.

Try to search for ATEM's. Thank you for coming on the show, Ethan. Appreciate having me. Thank you, right? Thank you for having me. Hey, guys, you're going to find us Ryan is right calm. You'll find the full episode here with Ethan and Adam's.

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, social media and learn more. Look, it's not time to fear time to get your ass on it. It's time to do it.

That's why we're bringing these. Yes, we're trying to give you the knowledge to put you ahead right now. We'll see you next time. All right, about now. This has been right about now with Ryan Alford, a radcast network production.

Visit Ryan is right.com for full audio and video versions of the show. Or to inquire about sponsorship opportunities. Thanks for listening.