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Unstoppable Domains x @SynergeticsAI
Recorded: April 22, 2025 Duration: 0:48:54Space Recording
Short Summary
In a groundbreaking discussion, Sandy Carter and Raghu Bala unveil the launch of Dot Twin, a new top-level domain for AI agents, emphasizing its potential to revolutionize digital identities and transactions. The partnership between Unstoppable Domains and Synergetics AI aims to integrate blockchain technology with AI, paving the way for innovative applications and significant growth in the crypto space.
Full Transcription
Thank you. Hello, hello everyone.
We'll give it just a few minutes and let everyone come on in and then we'll get the space started. Hello, hello everyone.
We'll give it just a few minutes and let everyone come on in and then we'll get the space started. Thank you. Hello, hello, hello everybody. This is Sandy Carter from Unstoppable.
We're going to get started here in just a couple of minutes as soon as we have Dr. Radu
on the line. Thank you. And we're going to have some fun today because we're going to mix it up with a little bit of Web3.
We're also going to talk about AI agents and why we need an AI agent as well with a wallet.
So I just pinged Wayne and Raghu.
We'll see when they jump on.
We'll get started.
Oh, there's Raghu, I think.
Raghu, if you could just signal that you want to request to speak, we'll bring you up.
Okay.
Okay.
Raghu, are you up on the stage
Raghu can you hear us
Greg can you hear me
I can hear you loud and clear
I cannot hear Raghu
okay Raghu can you come on the stage
now Raghu I hope, Raghu, can you come on the stage?
Now, Raghu, I hope that you are on a mobile device because you'll need to be on a mobile device and not a desktop. Are you able to speak at all, Riku?
Or are you just, are you, you're not muted.
It doesn't look like you're muted anyway.
Oops, now he's a listener.
Let's see what happens.
I'm sorry guys we will get started here in just a second it's going to be worth the wait for sure
we'll be talking about AI agents and this is one of the first AI agents with a wallet such a cool
story and then you've got the dot twin which is almost surpassed 1,000 domains.
Let me go take a peek and see where they are today.
Okay, can you hear me?
Yes.
Hey, Raghu, how are you?
Good, good.
Sorry, I was requesting to speak, but somehow it didn't go on.
But now we are good.
Okay, thank you.
No worries at all.
Well, welcome, Raghu.
And we're going to probably go ahead and get started if you're okay with that.
Just so that we can get through a lot of questions and stuff that we have today.
So everybody, again, my name is Sandy Carter. I am the CEO of Unstoppable Domains.
And I met Synergetics AI and was talking to them about doing a really cool TLD for their new AI agent.
We ended up launching Dot Twin.
And Dot Twin has been wildly successful.
I'm just rerunning the numbers right now to see where they are.
They're getting very, very, very close to 1,000.
So, Raghu, before we get started, why don't you tell me a little bit about who you are
and then tell us about the company that you founded.
Sure.
So, thanks everyone for tuning in.
So, my name is Raghu Bala.
I'm the CEO and founder of Synergetics.ai.
A little bit of background, I've been in the software industry for about 30 plus years
and been with some larger companies such as
pricewaterhouse infospace yahoo and automotive.com and then a large part of my career has been with
startups and i've had four exits to date three to public companies and one to a private company a couple of years ago. And apart from this, I always have had a foot in academia. So in the past, when I was on the East
Coast, I served as an adjunct faculty at Columbia University. In the last eight years, I'm involved
with 2U, facilitating MIT Sloan courses on AI, blockchain, and DeFi.
And I also hold some faculty positions with universities overseas.
And apart from these things, I've also been writing a lot of books and stuff like that.
And so, currently working on a book with a couple of professors at Rutgers.
And most recently, a couple of years ago, published a chapter in a book called Handbook on Blockchain,
as well as a book, I was the editor of a book called Step into the Metaverse.
Whoa, so that's pretty incredible.
And how long have you been working in AI?
Why don't you tell us a little bit about what an AI agent is?
AI actually, I started working on it during my days at Yahoo.
That type of AI today is called classic AI.
We use a number of different AI techniques
like support vector machines and so on.
But classic AI, basically, we all use it daily,
I mean, knowingly or unknowingly.
So I'll just give you an example.
So if you go into, let's say Amazon,
and whenever you are shopping around for things,
and it shows you a number of items that it might say,
people who bought this also bought these other things,
that's known as the recommendation engine.
And you'll see those types of things also in Netflix, for example.
So if you watch this, you might like this, that sort of thing.
So AI, I've been using for 20 plus years.
And we also use it in Gmail, for example, how spam gets classified.
That's AI as well at work.
But what happened in the recent years, as of, I'd say, mid-2017,
there's a big paper that was released called Attention is all
you need.
And that started this whole process of creating transformers.
And transformer happens to be the T in chat GPT.
That last T is actually transformer.
And that put into motion this whole arena of generative AI, which is different from
the classic AI, which is basically used for classification, whereas generative AI can
produce new stuff, whether it's text, music, video, and so on.
And we have seen, all of us have seen all of these examples come about
in the last couple of years. And so Synergetics, we started in 2023 with the goal of creating
AI agents. And AI agents in a short sort of way to think about them is they are agents that perform certain operations autonomously or sometimes assisted by human
instruction. They are sometimes given a goal and they can go about solving a problem on their own.
They are continuously improving and learning and also they are capable of decision making.
So those characteristics form what is
known as an AI agent. Super cool. And I think many of you know, I just wrote a book called
AI First, Human Always. And I actually wrote my own agent for that book. And right now I'm crafting
a digital me of me so that I can have
some help and some assistance in doing what I'm doing and making decisions and that sort of thing
to really to learn the platform and to understand what's going on. So I've played with probably 17
different platforms for creation of an AI agent. But when I talked to Raghu, Raghu's had a little different twist. And
I'd love for you just to talk a little bit about your AI agents also have an identity
and have access to a wallet. Why don't you talk about why you did that and how that works?
Right. So AI agents, the way we have defined it is actually all of our AI agents are tokenized.
And they're tokenized because ultimately we wanted our AI agents to have the following
characteristics.
We wanted them to have an identity, that is they have a persistent ID. So if you don't have a persistent ID,
an AI agent can sort of start and stop,
and it can perform some tasks,
but that does not become traceable,
or it is no longer accountable because it's a random piece of code that did something
but did not leave an audit trail behind.
So we, and the way we look at agents is that agents are almost tantamount to digital humans.
And so just like a human has a social security number or driver's license or passport, there
needs to be some sort of identity.
And that identity manifests itself in a decentralized ID given to an agent.
That's the first part of what we wanted to sort of create an agent with.
It has to have an ID.
The second thing is this ID has to be stored somewhere so an agent will carry
a wallet just like you and I carry a wallet where we put our driver's license into it this wallet
can contain other things as well just like we have a medical card or a some cash or credit cards and
so on our agentic wallet can contain all of the same elements.
And so these agents can now act as your proxy and conduct business, whether in the digital world
or in the real world, physical world. And in order to do that autonomously,
they need to carry this wallet with all of these
capabilities so that they can pay for things or they can exchange value with someone else
or they can identify themselves and so on.
So they have an ID, they have a wallet, and this ID is registered in a registry.
So these are some of the elements that we developed agents with.
Now, I'll just mention one more thing.
The agents built by other technologies such as Crew AI or Langchain and so on,
they do not have these capabilities.
So what we decided to do is we wanted to make our platform compatible
with all of the major players in the field. And we have an ability to take their agent, run it through our wizard and
add these capabilities to their agents. And so these agents have all of these ID, registry,
wallet, and so on, irrespective of which technology you used to build it with.
And one additional kind of cool thing that happens
when you do this is because we have a protocol
for communication, all the agents are now interoperable
and they can communicate with one another.
So that's the thing that we're set out to do.
And it's ready to go now.
It's pretty fascinating that this agent now can, you know, do things that leave a mark, that, you know, spend money, for example.
For example, I was looking yesterday at one of the agents that's out there, and it was really interesting because it was actually making payments, executing payments in USDC when a rate fell below like one and a half percent.
I was looking yesterday at one of the agents that's out there.
So it wouldn't make the payment until it fell below that out of its wallet, which was pretty, I think, pretty, pretty interesting, pretty cool.
So these agents, too, have a digital identity,
and you chose Dot Twin for that.
Why don't you talk to us a little bit about, you know, Dot Twin
and why you decided to also give them an identity?
Yeah, so just like you and I have a phone number,
but then I don't necessarily remember Sandy have a phone number, and but then I don't necessarily remember
Sandy Carter's phone number,
but I might remember Sandy Carter's name,
because that's how I look it up in my iPhone.
The same way, we didn't want our agents to be near numbers.
Like, just like humans, we all have IDs,
but we don't call each other
by our driver's license number or something. We call each other by our driver's license number or something.
We call each other by name.
And so the same way we wanted to sort of create, you know, treat agents as almost human-like and wanted to give them human-readable names.
And so that gave birth to the idea of creating a name with the extension.
And that extension happens to be .twin because we look at an agent as an extension of a human.
So that was the sort of genesis of how .twin came about.
I think it's pretty cool.
And .twin is doing quite well today. What were some of the,
you know, maybe interesting features that you wanted to do with Dot Twin? So obviously,
what we just talked about, the ability to exchange crypto is something that was important to you.
But how do you see Dot Twin helping you
to gain more mainstream adoption for your AI agents?
So we have kind of a very, very cool use case
or a killer use case that I'll talk about
that we hope to release soon.
So, you know, we have all done e-commerce shopping
and my daughter and my wife often do that
as well.
But I often find out that whenever they do apparel shopping, apparel is one of the tough
ones to do shopping online because of fitment issues, whether it's too loose, too tight,
doesn't look good, this, that, or the
other thing. So I end up going to drop off returns at the Amazon drop off place every
once, every so often, because something doesn't fit. And so this problem for e-commerce retailers
is a $150 billion problem.
I think that's just the US number.
If you take global, it gets into much larger numbers.
So why do I mention this?
One of the kind of cool use cases is once you create your twin using our platform,
The twin is in your likeness and has your measurements.
the twin is in your likeness and has your measurements.
So we have a use case where using our agent connect
protocol, which is similar to wallet connect,
which a lot of web three natives will be familiar with.
Agent connect connects to your Dapp or your websites.
And this could be a apparel shopping website
tryout capability that can be easily plugged into any apparel shopping
experience using JavaScript and your twin will appear in that virtual tryout trying out the
clothes that you picked up and this is actually working and it took a lot of
effort to do it but this is a killer use case for twins because I love this idea
oh my gosh you didn't tell me about this one Yes, yes. I was holding it back. I was handbagging it for later.
Yeah, you were.
Oh, my gosh.
This is really cool.
So what happens is your twin can now, you know, literally try out your clothes online.
And if it doesn't fit, the AI model says it's too loose or it's too tight or it just doesn't look good on you.
loose or it's too tight or it just doesn't look good on you. And you can either swap for a
different size or maybe try a different brand or whatnot. But what it really does is besides the
coolness factor from the consumer perspective, it really solves a big headache for retailers.
Because when you have a return, the amount of money that goes into the shipping charges,
the credit card, I would call it chargebacks, and so on, is actually really cost prohibitive,
which is why a lot of small online retailers ultimately give up and they go and sell through the bigger guys like Amazon
and so on because of this problem.
And even for the big guys, it's a big problem.
There are many, many articles on this.
And from the consumer perspective, it's also a, you don't want to necessarily buy something
that's ill-fitting.
You want to get it right the first time.
So we believe while it may not, there's to get it right the first time. So we believe while there's no
panacea to this problem, it's a very difficult problem. We think that we can cut down this
particular problem by a significant amount, like 20-30% easily, using the first version
of our platform. Because the fitment AI is quite a difficult issue and there are a few companies
who are trying it. A lot of them are trying it from a fashion angle but this is not only a fashion
problem but it's a digital twin problem. So we believe we have the mousetrap to solve this.
I think that
is a great example. I don't know how many
other people do that, but
I essentially don't even go shopping
anymore. I used to go shopping all the time.
Now it's just so much easier
to pick out stuff
online. But Raghu, you're absolutely
right. This morning,
early this morning, before we started
work, when my husband was leaving,
I gave him like five boxes of stuff to drop by at the UPS store so he could take it back
because stuff didn't fit me or my daughters or something. So what a great use case, you
know?
Actually, I'm laughing because I just did that yesterday at a drop off at Kohl's.
I was in the line dropping off a package to my wife. But anyway, there's one other use case that we think is kind of interesting and cool as well. So for those of the listeners and people who are
developing small gadgets using devices like the maker community. So they're using Arduino,
they're using, what do you call it, Jetson Nano, they're using Raspberry Pi and
things like that. Those types of devices in the future are also examples of agents.
Agents don't need to be human-like but they can be devices as well so when i was at automotive.com one of the things uh you
know we were dealing with cars one of the things i learned at one of the car events was that i
believe it was tesla has been building wallets into their vehicles since 2016. but you know, these wallets are sort of dormant and even Daimler Benz had a wallet for cars,
even pre-COVID.
But the issue is these wallets had no one to talk to.
But right now things have changed.
In the last couple of years, the Wendy's drive-through is actually an AI agent.
So technically speaking, your Tesla car can place an order for food with your
Wendy's drive-thru. So why I mentioned that is for anyone who's building any sort of device
using one of these platforms, our wallets can be embedded in those platforms and controlled
through your mobile device. And so now you not only have a device, but you have a smart agent device.
And this device can also participate
in agentic communication transactions, on and on and on.
So it gives another sort of dimension
to many of these makers
for developing all kinds of devices in the field.
That's really cool.
Do you think, like, eventually, like, I know you had some bank tellers,
do you think that they'll be kind of managing money with their wallet
and maybe retailers, you know, trying to get down the return rate
or trying to help customers maybe give out discounts
or even, you know, like in a flight, like an AI flight, you know, where they give, sometimes they give upgrades or they give, you know, here's have a couple drinks because the weather was not good or something.
Do you see agents being able to do that out of their wallet as well?
Yeah, yeah.
I mean, I think all of those things that you mentioned are going to happen.
And in fact, Brian Armstrong, who's the CEO of Coinbase, he's been saying in several articles
online, that one can go and check out that the number of transactions that humans make
using wallets will be dwarfed by the number of transactions that agents make using wallets.
It's going to be 10 times, 50 times larger,
but the transaction sizes might be different,
might be nano transactions.
It could be regular-sized transactions,
but it could be also micro-sense
where something is talking to something else to get data.
So device-to-device communication also micro cents where something is talking to something else to get data so device to device communication uh using um wallets and the currency and the currency can be stable coin can be crypto
all of those are going to be huge and just as a side point i just learned something new uh i think
yesterday i read somewhere that fidelity for, for example, the finance company, Fidelity
is going to issue its own stable coin.
And the state of Wyoming is also introducing its own state-based coin that can be used
by those who are in the crypto community and so on.
So a lot of people are issuing coins.
I think the US.S. itself,
the regulatory framework will change very soon.
Yeah, very interesting.
I think this new world is going to be crazy fun.
I mean, I think for a little while it's going to be chaotic,
but I think it's going to be crazy fun as well.
So, you know, everybody listening in, hopefully everybody's grabbed their dot twin.
But what would you say to folks on the line?
Why do you think they should go ahead and get a dot twin today?
And by the way, you're sitting at like 970.
So we only need 30 more to hit 1,000 sold in a week.
So why should everybody on the line get a dot twin domain today?
Yeah, I think ultimately these dot twins are going to be huge i believe
that device manufacturers to to individuals will all have twins and and they'll be used for
different purposes uh for example your your when i say device is not just your phone but your
television your washing machine,
your refrigerator, your car. All of these things will have digital identities and potentially a
.win type name. And also every person would potentially have one or more digital agents
operating on their behalf, doing things on their behalf.
So, for example, if you're a small business person, a small business operator, SMB, today
what happens is you have to do a lot of the work yourself.
What we see happening very, very quickly, and I've been speaking at several small business forums, is that you can easily hire an agent from our marketplace to go do your QuickBooks.
You can hire another agent that is constantly putting out social media posts, tweets on LinkedIn, X, other medium.
One agent could be doing that.
So you as a person now just multiply yourself threefold, fourfold, fivefold,
doing different functions at the same time,
while you are just a single person operating a business.
So what does this do?
This changes the dynamics because previously,
small businesses could not compete with larger businesses.
But now through the use of agents in AI,
they're absolutely able to compete.
But so it starts with people thinking along the lines
of agents as being part of their extended family
or team or whatnot, and giving them identities and names, which
is why the .twin name is kind of useful so that we can build teams of agents performing
various functions for us.
I think this is going to be really cool.
So this is like you're part of history, right?
You're making history with a domain that's going to be used by agents, by us.
It's just fascinating to me how quickly this whole space is changing.
What do you think some of the downsides are of having an agent with its own identity and
its own wallet? Have you thought about that? Yeah, so we have given it a lot of thought and
you know of course it first comes with the first sort of point that we tried to make is our wallets
while the twin has a wallet, the primary owner of the twin has control over that wallet.
So that's number one.
So, and its funds and so on are being controlled by the human operator.
So any sort of risk can be mitigated.
Of course, if you put a large amount of money in a Twins wallet and it gets
stolen or whatnot, that's not advisable. You want to start small and so on. But we have
protected our wallets with a lot of the cryptographic security mechanisms, which are state of the
art to prevent such occurrences.
And also, it's much more...we've given a lot of thought to usability and UX, so it's easy
to use.
And the wallet manifests itself not only as a mobile app, but also as embedded within
devices and also for use by agents and so on.
But the second thing is guardrails. On the agents,
agents have a knowledge base which is run through models, LLMs and other things. And so
having guardrails with these models is important so that the agent's knowledge doesn't cause it to hallucinate
and do things which you don't expect it to do so we try to sort of put it within a construct
that prevents bad outcomes so so we have taken precautions for doing that um so that's, whenever you build agents with our platform,
with other platforms, I'm sure there are some best practices
that are out there as well.
I think the whole ecosystem as a whole
is looking at this as a serious issue as well.
And then third is there is certain sort of regulations that are coming into play that
also protects consumers and users and so on.
So when the EU passed its EU AI Act, I was one of the persons was interviewed in some
of the forums to comment on some of these, the EU AI Act, which has got a four level
sort of classification of agents or AI technologies to be, for example, dangerous. That means do not
roll it out. Second was risky. Third was low risk. And fourth like you know like a g-rated movie anyone can use it as
for common use so so there are some ranking mechanism and similarly uh california colorado
and i think texas is about to also pass legislation so these things also help because
uh those who are developing these agents and so on have to these are almost like safeguards that
are being put in place regulation wise to avoid bad outcomes oh one more thing i wanted to mention
is when we do agents i forgot is when we put put these agents into the agent registry, we go through a process called KYA, know your agent.
So those who are listening might have been familiar with KYC and KYB is also there,
like know your business. Now we have KYA. So we'll ask for certain information documents
and things like that so that we don't have sort of bad
actors in the system so that you can be sure that the provenance of the agent, the ownership
and all that is sort of secure and you know where it came from.
It's not some bad actor, man in the middle,, and those types of things are not going to be there.
Fascinating.
Yeah, I think I'm going to need a couple of agents helping me out doing different things as well.
So how do you envision, like, you know, if I look at the roadmap, where do you see this going?
And I know that you have opted to have .twin go forward to ICANN as well.
You want to take .twin forward to ICANN because of the promise of agents.
Why don't you just talk about those two as well?
So the second one is, you know, names, as you guys know, everyone knows,
names can be resolved in a couple of ways,
web two and web three.
So for web three, we are going with unstoppable
as our partner to resolve these names.
And then for web two, of course, they get resolved
through, you know, using your DNS and so on.
So the dot to an extension, we want it to resolve to your agent,
whether you type it in a browser
or you go in and use it in a wallet.
Either way, you get to the same place.
So we wanted both those capabilities
because we think that over time,
this whole sort of separation of Web 2 and Web 3 will start to blur.
And we want to be there on both fronts.
So that's one of the issues.
What is the first part of the question?
I missed that part.
Can you repeat that?
Yeah.
Where do you see, like, in the future, like, where do you see agents going?
What's, like, the roadmap you see agents going? What's the roadmap you see? Yeah. So I think this agent space currently is predominantly, I'd say, predominantly being discussed in the context of the digital world where enterprises and others are starting to use agents for solving problems within an enterprise, I think that
is going to expand to two or three places. The first one is it's going to expand to agents talking
to other agents from other enterprises. That's number one. Number two, I think from the B2C standpoint,
with that example I gave you with virtual tryout
and things like that,
I think consumers will start to create agents
of their own personal agents.
And then the third is physical agents
where we have already seen some of this,
like Tesla is launching Optimus and then I think Nvidia has shown some
physical bots and then we have already seen the slightly older bots like Roomba
and I saw one in New York City cutting grass that day at a park. These are all robots, but these robots will start to get agentic IDs and so on.
And I think physical agents will come about. For example, the canonical example we have
working in our prototypes are car talking to parking meter, car talking to fast food
kiosks, car talking to tollbos. So both are agents in these cases.
And there are different vocabularies
that govern the communication between these two,
any two entities.
And so I think all of these are areas for expansion
in the agentic AI space.
Yeah, I was just thinking, you know,
I could have Sandy.twin and my Sandy.twin could monitor my deal flow, it could monitor domain trends, it could flag potential partnerships, it could signal to me which TLBs are heating up, which ones I might need to help.
It could summarize DAO proposals for me or investment updates or even go buy a domain for me.
I mean, I think the world is open for what these agents can do, right?
Absolutely.
So just to add to that point, I think you figured another thought in me, which is the Web2 world is already, as everyone knows, it's got a lot of SaaS products.
Whether it's HubSpot for marketing or
Salesforce for sales or your bank, mobile banking website or whatnot. So there are a lot of web to
sort of applications, data sources and so on. So one of the kind of hotest protocols out there
is something called MCP, which is model Context Protocol, which brings those assets into the agentic AI world
such that agents can now talk to those assets
in a uniform manner.
So MCP is the equivalent of your USB port for laptops.
Whether your laptop is connected to a camera or a printer
or an external drive,
USB sort of resolves all of that for you
and you plug it into the same USB port of your laptop.
Same way here, agents can talk to any of these sort of
applications, Web2 applications and so on,
and it makes it easier.
And in the Web 3 case,
you used to have oracles like Chainlink and so on.
And those oracles used to talk to web services
and things like that.
That communication is also simplified using MCP.
So it's a good protocol because now it does not alienate all of the existing resources,
but brings them under the same fold and makes them available to agents to use easily.
Yeah, I think this is fascinating. I do think this is the way of the future
one of the things that I did do this week is I wrote a Forbes article because I was just
so incredibly fascinated by the work that that Raghu was doing and his company and you know the
potential for Doc Twin and so I got permission to write about that in Forbes. And we showed an org chart in there. It's an actual org chart. Companies who are doing this today are like Moderna, for example, where they have humans for a marketing team or event management or social media management.
And this is being executed and implemented today.
So imagine, you know, copyeditor.twin or
x.twin that could really be working in this org chart as well. I'm curious, Rikki, what
did you think about that org chart?
Yeah, yeah. No, that's the way it's going to be. So that's why when we start our presentations,
we always say that the workforce of the future, and I have a seven-part article on Medium on this thing,
which is the future of work, but the workforce of the future in enterprises is composed of both
humans and digital humans, and the digital humans might take the form of avatars, but they can also
take the form of voice agents or chatbots and so on. So, yes, you're absolutely on the mark.
These org chats will start to morph.
They'll have both humans as well as digital humans.
Yeah, I think it's quite interesting to try to play with it
because, you know, if you don't start playing with it now,
you're going to be left behind,
which is why I feel so excited that at Unstoppable, we got to launch Dot Twin.
We launched Dot Miku earlier. Dot Miku was for a fashion AI agent, which is super cool.
We were the first with a TLD for an AI agent ever.
And then with Raghu, we're the first for a digital identity for, I guess I would
say a swarm of agents. And not only agents, but with their own wallets as well, which I think is
even takes it to the next step or raises the bar even one more time. I know I've run over on your
schedule a little bit. Do you have time for one more question, Rangu? Yeah, go ahead. Yes, please.
Okay. Okay. Okay. So, you know, if I was, so I'm listening into this,
what can listeners do? Like, should they go out to your platform? Can they create an AI agent?
Obviously grab their .twin, but what should they be doing right now so that they don't get left behind so what we are going to release very shortly is a site called twin dot
bot where anyone can basically upload their own image and create a twin in
their own likeness and that twin will automatically be registered in the registry and they can select a name,
a dot twin name, which can be a name which is free or a vanity name, which is a shorter name,
which might be, I think, eight characters or less, right, Sandy? So those vanity names,
less right now sandy so so so those vanity names you can pay for it but it's kind of cool because
this is a new area and uh where you get to uh sort of like hold on to your digital twins identity
with a name that that reflects you so uh so i would encourage people to to sign up for vanity names because it's kind of a new area
and you get the first dibs on these things.
So we're going to release this Twin.bot site very soon.
And so anyone can create these twins with wallets, IDs, names, all bundled in one.
And then we will be also following that up
with a set of applications that their twins
can start to do on their behalf
that automates various day-to-day functions
while they can spend time doing more productive
or easily task to watch Netflix or something
while your agent is doing gr you know, grunt work.
Yeah, that's true.
So now you not only have to think about domains for businesses, but domains for agents, which
might do part of a business.
So this is like a whole new market for domainers out there to start looking at, obviously,
names for yourself, names for your business, but names for pieces of businesses.
Like what Raghu walks me through, you know,
a set of AI agents as bank tellers or as retail customer support or as us.
And your own digital twin too, right?
You need your own Candy.twin or Johan.twin or Mark.twin.
You need your own one of those too.
Yeah, roadmap-wise, I think there's one thing that will happen very soon after this, which is,
and we have tools for those who want to train their twins to have a knowledge base,
which is quite extensive in a particular discipline as well.
So, for example, I'll tell you where this is all headed also where
let's say that you are offering tuition to k through 12 let's say now today you can offer
tuition let's say online and there's only one of you as a human and you're offering tuition to a set of students but if you can can sort of train your agent with
your knowledge base in let's say a particular subject let's say it's English
or physics or math or whatnot now what happens is you can multiply yourself and
so your agent can conduct some of these classes on its own and you still get paid and you can do some of the classes as well.
So this way what happens is you can be in more than one place at one time.
So that's going to happen.
Wow.
That's going to happen.
I've always wanted that.
I've always told my husband I'd like to be at two places at the same time.
That's amazing. Do we have any questions?
I know we've got some folks still in the audience. Any questions that you guys would like to ask?
Raghu's just a fountain of knowledge here and is doing amazing things for sure.
Any questions anybody has? We'll give away a free dot twin if anybody wants to ask a question of Raghu.
Any questions?
Looks like you've wowed them all, Raghu.
No questions today.
So thank you so much, and thank you for the partnership.
I think you're like leading, leading edge.
I know we're going to stay ahead of the game with our partnership.
So thanks so much for coming on, sharing the information with us,
and also allowing others who join in later after the live stream to join in too.
Thank you for the whales out there who joined us.
Johan, you're like my fave now, man.
You're on like all these faces with us.
Really appreciate that, as well as all the rest of you guys, too.
So thank you for joining in.
And we will be chatting with you later.
Raghu, any last words for the audience?
No, I think, you know, like what you had mentioned, Sandy, if folks want to get .twin, please register for it.
And check out twin.bot.
I think we'll be out there in a week or two
and looking forward to everyone registering and having fun with these things because this is
where it's all headed and and I think it'll open up a lot of business opportunities
so get in early on the action that sounds great get in early for sure guys get in early on the action. That sounds great. Get in early for sure, guys. Get in early.
Get your dot twin. I can't wait to see when we come back in a
year, will we even be on the Twitter space or will we
have our twin on the Twitter space for us? Or maybe we'll be speaking and our twin will be
listening and giving us hearts and encouragement
as we speak, which would be kind of interesting too.
Thanks for imagining the future with us. We really appreciate it. Thank you.
Thank you. Thank you so much.
Thanks. Thank you.
