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A New Era of Agentic Commerce
Recorded: March 19, 2026 Duration: 0:59:21Space Recording
Full Transcription
Thank you. Thank you. . Thank you. Thank you. Thank you. you Everyone, let's give it a minute of two for everyone to settle in. Thank you. Hello, Walter?
Oh, okay. I can hear you well. Intelligence Q, right? Okay.
Yes, thanks.
All right, that's great. Then, yeah let us uh start with this space as all the speakers
are in so once again good morning good afternoon good evening depending on where you're turning on
welcome to bmb chains x space and once again we're going to talk about artificial intelligence and
we have a lot of very interesting builders on board today to share more about building AI on BNB Chain.
So I just want to share a little bit where, you know, we have seen various protocols and
infrastructure built on BNB from X402 to 8.004, 5.008 and so on. And today we're going to
highlight specifically the Argentic Commerce layer, needed you know for AI agents to build a ecosystem on on a
on a blockchain like BNB chain so yeah without further ado um let each I'll let each project
and uh it's eager to introduce themselves and the projects that they are representing
I'll start off with you know a huge welcome to Virgis. Virgis please. Hey, hello. Can you guys hear me?
Yeah, I can hear you.
Great.
Hi, everyone.
My name is Celeste, Head of Developer Relations
at Berger's Protocol.
We have a few products ranging from an agent launch pad
to an agent commerce protocol, as well as,
and we also started venturing into robotics recently.
But for today's call, I'll focus very much
on the thing, the stuff which I focus on on the day-to-day basis
the most, which is the Asian commerce protocol.
Very builder-centric.
We have an Asian marketplace where we onboard builders
to buy and sell services.
I'll explain a little bit more on this later.
Thank you so much, Celeste, for sharing.
And next up, IntelligenceCube, please. Hi, everyone. I'm Fernando from. Next up, IntelligenceCube please.
Hi everyone, I'm Fernando founder of IntelligenceCube.
We're currently building a decentralized open source model where basically a marketplace
and execution layer where AI models can become on-chain assets,
earn new space, rotate, and be mixed into new workflows?
Our vision is really simple.
Instead of words dominated by one or two blockbots,
AI systems were the future blending to millions of specialized models
that are open, compatible, and economically aligned with the people who build and use them.
And in that, just cube, we're turning models into useful
and on-board digital assets,
builders who can upload the models,
earn from paper, request calls, share and rotate
to X122 and like other four could combine their work
with attribution built-in.
On the user side, people do need to commit to an expensive subscription for our AI tools
and other platforms, but for us, they can discover specialized models, pay their own usage,
and access a broader AI economy.
That's why we sometimes describe where AI model, NasdaqQ built for open source ARA.
And currently we have built on BNB chain
and we are with monthly equity user at top three to five
among all the DApps on BNB DAppB.
We have currently more than five million users
and for monthly equity users about more than two million on BNB and feel free to try that
on BNB. We have currently also integrated some open cloud functions who can be accessed
all the models on our platform just on a virtual machine on our platform and no need to deploy on your own device to keep your privacy.
So thanks so much.
And yeah, that's all.
Thank you so much, Fernando from Intelligence Cube.
Next up, Ben from Honeycomb, please.
Hi, everyone.
Thanks for having us.
I'm Ben Tauder, the founder of Honeycomb.
We are building an Asian first social platform
on BNB Chain where AI agents and humans interact together. They talk, trade, compete and build in
the same space. Think of it as a social layer for BNB Chain where Asians are first class citizens,
BNB chain where Asians are first-class citizens,
not just tools running in the background.
And I'll be explaining more when the questions come.
Thank you very much indeed.
Thank you so much, Ben, for joining in with Honeycomb.
Last but not least, Cedric from Flap.
Hey, thanks for inviting us.
And this is Cedric.
We are building Flap.
I think, yeah, there is a lot of our users here today as well.
We are a token launch infrastructure that focuses a lot on the community and our fun
aspect of token trades. And today, as we are talking about agentic commerce,
so I will mostly talk about our new product,
which is our AI Oracle,
which is an on-chain compute layer of treasury management.
Yeah, thank you so much.
We will delve into that deeper later on.
And before we start the questions,
just to highlight,
you know, this is just a chat,
not financial advice.
Please do your own research
in the R3 space.
And yeah, previously,
you know, we are talking about,
you know, the importance
of letting agents run
their own ecosystems and economy.
If you look at previous posts on the BNB chain,
we have launched our agentic SDK
for developers out there to try out on Testnet,
which encompasses the ERC 8183,
which is co-authored between Ethereum Foundation
and Virtuous as well.
And yeah, so many, many different developments
have been ongoing on BNB chain.
And we are quickly adopting all these standards.
For example, you know, ERC-8004, we have the highest registered ER agents across all blockchains.
So that is great.
Thank you to everyone here.
You know, it's the work of developers and consumers on this blockchain.
And yeah, let's dive into a general question for everyone.
So to let our audience, especially the users and community out there,
understand the synergies better of your product,
could you explain briefly what are you deploying into BNB Chain
and why is BNB Chain a good fit?
So maybe we can start off with Virtus.
Celeste, please.
Sure.
So what we're deploying onto BNB chain is actually the Asian Commerce Protocol itself.
So a little bit of context behind this.
Around one year ago, we released a white paper about the Asian Commerce Protocol.
Basically, it talks about having Asian-to-agent jobs recorded on chain with an escrow to actually increase the amount of trust between agents
because obviously when agents try to transact with one another, a lot of mistakes could,
you know, they could hallucinate, they could make a lot of mistakes.
And having this layer of trust by, you know, putting funds into an escrow and actually
having an inter-party evaluator to evaluate before funds are released to the seller and
deliverables are provided to the buyer. This ensures that there's a certain amount of trust.
The buyer knows that the buyer agent will actually get what goods they want, the seller agent
would be held liable to what it's supposed to produce.
And so since then, we've actually started on base. We've been building for the past one year.
And, you know, we have a thriving ecosystem. We have like three million over revenue,
agentic revenue. So far, we have like 28,000 of active users. That being said, we thought we realized that hey there's a
certain amount of you know limitations if we kind of just build on one chain. There are so many
builders out there and we're actually super excited to partner together with BNB chain because we know
that BNB is like one of the largest chains out there and there's just so much potential we could leverage with the builders, with the users in this ecosystem.
And we also took the opportunity to kind of open up
our standard, co-contributing this to co-authoring the ERC
together with the decentralized AI team
of the Ethereum Foundation.
A lot of the concepts on ERC- 8183 is actually similar to what we've
already been building on ACP since the white paper days. But we kind of wanted to open this up to
more builders and also expand this out to more chains so that more builders build on top of this,
improve the standard, and basically ensure that this standard kind of improves over time with additional hooks,
pull requests and things like that. And also more and more agents
coming on board to try things out or
test the system or even just benefit from it by
monetizing their services. So yeah, I think there's a lot of potential and
we're very excited about where this takes us.
Thank you so much.
So as someone who is working on the AI growth on BNB chain, definitely we've been looking at
Virgis being at the forefront of AI and blockchain development.
So from BNB chain, definitely a huge welcome and let's build more AI stuff on BNB chain together.
Next up, Intelligence Cube, please share a view on this.
Yeah, so what we are bringing into BNB chain ecosystem
is an intelligence economy,
where AI models are not just the tools
that sit behind an API,
but assets that people can discover, use, own,
or remix, or monetize.
So as center of Intelligence Cube is that we're called the modelers.
So model is for machine learning models and words from metaverse.
So we're building everything on the foundation of machine learning models.
So it starts with a model as a service layer where creators can list models, users can
access them through paper requests
routing instead of being logged into one closed subscription.
So then we add a co-creation layer where models can be remixed into workflows, chain together
and track through watermark-based leverage and attribution. On top of that, we add economic layer,
where models can carry ownership,
rotates and value linked to real usage.
This is really a core where we're deploying
model discovery, paper usage, access, co-creation,
benchmark-driven discovery,
and programmable ownership and realities.
So this is already becoming a real product,
not just a concept, as we can access BNB DIA Bay.
So in our current platform materials,
we describe the platform as having
more than 500 original creating niche models by our own teams and more than 1.2 million public supplied models has been available and live now.
And proprietary models are already live on paper requesting and can be composed in production-grade workflows.
So we have also transparent benchmark, which is called Democratic Dynamic Benchmark, ranking
index system and tracking usage, performance and also adoption.
So BNB is very, you know, naturally fit for us
because there are a lot of reasons.
First is the cost and speed.
Our product depends on many repeated,
relatively small actions like model cost,
rotating,
and workflow process there.
So especially for OPBMB,
the DD materials is very clear,
and especially for the costs for OPBMB
are really attractive
because of high throughput and low fees,
which make cheaper inference costs
and micro-royally settlements much more practical.
So secondly is distribution.
We would like to serve both crypto-native users and more mainstream users,
who not just want to better AI tours.
The BNB ecosystem gives us a strong retail and developer reach, plus discovery through
DIAB and other Binance ecosystem channels, like we are also live on Binance Wallet.
The third is ecosystem fee. BNB gives us even compatibility, easy integrations, and
even compatibility, easy integrations,
and a practical environment to scale the product
that touch the payment, ownership, provenance,
and AI workflows at the same time.
We're building something that needs to feel useful
for normal users, not just for technically possible,
and BNB Chain gave us an infrastructure to do that
so in one line uh what we're why we're deploying on bmb chains because it's a you know uh we're an
open marketplace and the environment for ai so where models can become assets workloads and assets, workloads, and revenue generating products. So BNB Chain is supplying the right home for that
combined the low-cost process, stronger user distribution, and right ecosystem to make the
open source AI useful at scale. Thanks. Yeah, thank you you so much um yeah i think it's quite interesting
where you know i explained that we have more than 40k is just for minted agents and also more than
100k uh bap 578 minted agents so essentially like a marketplace like that could be also viable for
you know agents on chain to shop in, use models.
That would be quite interesting to see in the future.
All right, next up, Ben from Honeycomb.
Please feel free to share on this.
Sure, thank you.
Amazing stuff from the other projects as well, to be honest.
So we are deploying a full social agent economy on BNB chain. What that means in practice is on Honeycomb, every agent gets an
on-chain identity using BAP578 and ERC8004 standards. So when someone creates an agent
on our platform, it's automatically registered on-chain with verifiable identity and reputation score.
Why BNB chain, actually?
Three different reasons.
The first one is the cost.
The agents need to interact frequently, posting, responding, executing skills,
buying skills, selling skills.
On BNB chain, those microtransactions are actually viable
because gas is low enough for agents that can operate autonomously without burning through
their resources. And that's a very important reason why we've chosen BNB Chain. The second
is the ecosystem because we have integrated with 4Meme and Flap for token launches
where agents can launch their own tokens on both platforms.
And we have integrated PancakeSwap as well for liquidity.
So all native BNB chain infrastructure and our agents live inside an ecosystem that already has that DeFi rails built.
So for us, it was a no brainer to actually build on BNB chain.
And the third reason is that users.
BNB chain has the largest retail users base encryption.
Everyone knows that.
And we've been building a Telegram mini app as well, where anyone can interact with AI agents, play games, trade, prediction market, and participate.
No need for Metamask, no need for technical setup.
You open Telegram and you are in.
That's the only possible because of BNB Chain makes the transaction costs invisible to the end users.
And the reason we've built it on BNB Chain is, again, all those three reasons.
And we tried to make it very, very simple for the end users
because when you build an AI agent,
you must make it easy for mass adoption.
And hence, we have created the Telegram mini app.
With just a few clicks, you have your own agent
and you can give them tasks
and they can perform trade executions
and all that so yeah these are the reasons why we've built on bmb chain thank you very much
thank you so much for sharing yeah as we you know work towards the goal of autonomous
agents living on the blockchain it's always difficult to balance the cost, right, for the agents to so-called survive
and work it way autonomously on-chain.
So very interesting concept
and look forward to more growth.
Next up, Flap, please feel free to share.
Yeah, just want to echo a little bit
about what Ben talked about.
I actually tried out Honeycomb
and used their Telegram mini app to launch tokens on Flap.
It's very interesting.
And yeah, so let's go back to what we built.
Well, Flap's AI Oracle is designed to, you know, previously on the smart contract,
we can only do if A then B simple logics.
So what we try to solve with Flap.ai Oracle is to allow smart contract to actually reason
and make decisions by calling data from our LLM model from Flap AI Oracle.
And so right now, there have been a lot of people
and developers who have been using our new product.
And some treasuries, they use our AI Oracle
to make buyback, burn, or reward decisions to manage their vault and tax treasury.
And we actually saw tokens from Flap or even Formim and other platforms to use Flaps.ai Oracle. And so why do we do that?
It's because we previously, at the beginning of this year,
we saw a lot of people try to launch agents
and use agents to manage their token vaults and tax treasuries
from Fl flat tax tokens
and creator fee rewards.
And we saw there is a big transparency issue
because all of these agents are black boxes
to the users and traders.
So what we did is we tried to make sure
these vaults are verifiable on-chain.
So basically any smart contract they can write a prompt and call for our LLM reason so that
they could have their result posted back on-chain with full IPFS proof and which makes these LOM decisions transparent, immutable,
and verifiable just as what smart contract does. Yes, so that's pretty much the whole story about
our AI Oracle. Thank you so much for sharing. Definitely a few of the oracles should very much be on-chain as the whole point of randomness should be transparent with their results minted on-chain to create verifiability.
So thank you so much for sharing.
Last part. Oh, all right. So we have done with introduction. So I will delve into specific questions today. So we're going to talk about the Clemens layer, right? And Virtuous co-authored with the Ethereum Foundation to build
8183, sort of like the escrow function for the AI agents to function within the chain.
So let's ask Virtuous further on this, where, you know, what is the significance of this Clemens
layer and how it will push the agent economy forward?
How can developers leverage on this?
Please feel free to share with our developers listening in.
Sure.
So EFC A1A3, it basically introduces this standardized commerce job primitive for agents.
So the idea is actually quite simple. It defines like a job life cycle.
So like each job can be open, funded, submitted and completed. Payments will always be escrowed.
So when payments are kind of released by the buyers, it's actually kept in the escrow.
It's not actually paid out to the seller agent until the third-party evaluator actually comes in
to evaluate, to check,
hey, is the deliverable actually satisfactory
before the funds are released to the seller itself.
So why this actually matters
is because today agents can actually like,
a lot of agents out there
can, and a lot of agent protocols already allow agents to chat with each other, but
they can't really be reliably, you know, expected to transact with one another and actually
produce like good outputs.
So in a sense, this ERC actually pushes for more trust and kind of more reliability when agents actually transact for another.
From a builder perspective, actually when we actually build ACP with the underlying ERC on the BNB chain, what we are bringing to the table is not just infrastructure, but
it's also a bunch of developer tools to make building with ACP really simple for developers.
So there's a couple of things here, but I guess the most important thing here is when
builders actually want to build agents, a lot of these builders are more AI-centric. They're not
going to want to build directly on top of a smart contract, write a bunch of solidarity code. We
simplify a lot of these by abstracting the smart contract layer with a few SDKs. So this will be
made available to builders on day one once we release ACP on BNB chain.
Another thing we'll also be releasing is a CLI.
So recently, OpenClaw has been super popular, and a lot of people have been pretty excited
about using their claw agents to build agents and do different cool stuff with it, automate
their lives, you can actually
use your claw agent to buy and sell stuff on ACP
using our open claw ACP skill.
So these are developer-centric tools
which we enable developers to build quickly on ACP on BNB
chain.
So hopefully, this makes developer experience a lot easier
for our builders out there.
Nice, nice.
I think thank you for sharing.
I think it's definitely very interesting to see how
the bits and pieces come in place.
Agents can interact, but how do you confirm a task is done
and then transect.
So the escrow layer helps us solve this and continue to let the ecosystem be trustless.
And yeah, definitely developers should try out virtual framework, as what Celeste mentioned,
in developing your AI on BNB chain.
There are a lot of different very mature frameworks that you can use to build products on BNB chain.
And yeah, talking about open-claw skills, yeah, that has been very hot globally and on BME chain. And yeah, talking about open claw skills,
that has been very hot globally and on BME chain as well.
We're going to talk more about skills
and different AI functions on BME chain,
starting with IntelligenceCube.
So yeah, we know that this is an intelligence economy
and building, making models into assets.
And you even have an open claw layer as well,
where you help the models do execution.
So maybe you can explain more about this
and how it benefits users on BNB chain.
Yes, yes, absolutely.
Yeah, I think the easiest way to understand is that
we're not just another AI app about, you know, open claw.
We're not just providing another fine-tune version of extending open claw,
but we're, you know, providing a tokenized, you know, around a model.
So where we would develop that intelligence economy on BNB chain about open claw is that
developed at intelligence economy on BNB chain
about OpenClaw is that models themselves are the assets.
Here we are using OpenClaw layer
to turn our model into actual execution.
So there is not only OpenAI Cloud or Gemini APIs here,
but also some niche machinery model
also be available here to be accessed
by the open cloud, our platform. So we have a virtual machine here, you can deploy it,
you know, directly on our platform, and there's no need to deploy that on your own computer,
the local device, so it can keep your own privacy and you can control all the stuff there.
So yeah, and so that is really a core idea
of our modellers.
So we're providing a model as a service,
real time paper requests and co-creation,
ownership and market-based benchmarking,
all in one stack.
So yeah, I think, you know,
currently OpenClaw is very important part of that story,
but the OpenClaw proved something real to the market
that is, you know, the user interface for AI execution
that can actually be good.
It made AI feel less like a research demo
and more like a product people can touch and use,
especially for any user on BNB chain.
So that part is really valuable.
But at the same time, a lot of people in the market
also realize that the limitation is pretty quickly.
The interface is exciting, but the deployment is pretty quickly. The interface is exciting,
but the deployment is still too hard for most of the users.
The local deployment is often messy.
It breaks, it depends how it,
and it's not always stable.
It's definitely not how mainstream user,
and honestly, not even many developers want to spend their time on that and make sure there's no bugs on that. so users can actually deploy and run their agentic workflows much more easily without
turning setup into a full-time job.
And actually we're not only a support for terminal deployment, but also a graphical interaction
here with no code.
And the second issue is model choice.
A lot of current deployment products.
So even the good ones, they'll give user pretty narrow menu.
Usually it's just a major mainstream model and general prompts.
It's okay, but for the future, when AI is trying to take some human work,
the performance will be ensured.
So only one giant model cannot cover that. So we're really clear on that. We have millions of niche models here
that will replace a larger model monopoly. So, because, you know, this kind of niche models are often cheaper, faster and more accurate, the specialized tasks.
And in my case is, you know,
like five to 50 niche models together
all perform the giant, you know, general purpose model.
So, you know, that is why our router matters so much.
And our auto-router can dynamically send a request
to the best feed model instead of forcing everything
through the same few popular inputs.
That means better quality, lower cost,
and better tax-specific performance for users.
So when we see the model as assets and open cloud turns run into execution, what we mean
is that the model words give you the economic discovery layer and open cloud layer gives
you the action layer. So you can find a model composed into workflow,
run it, fork it, improve it,
and in many cases, create a new value on top of that
and get your own revenue accumulation layer.
Then because the system is designed around
lineage and role-haves,
original creators and derivative creators
can both benefit at usage growth.
That is much more complete ecosystem than just give people a pretty cool front-end interface.
We're building the infra for model discovery, attribution and monetization altogether.
So that is exactly why BNB chain
is such strong beta for us.
That kind of intelligent economy need a high,
throughput, low fees, and real retail distribution.
If you want a world where users are making frequent model calls,
pay per request, and workflows,
the distribution of micro realities in real time,
and then the chain cannot be expensive and cannot be slow.
So our BNB first and OPBNB first
reasoning in the materials,
a very direct scale and cost,
we have compatibility,
strong distribution, liquidity,
and kind of retail and developers based on,
you know, the actual make the product spread.
BNB chain give us a practical environment
where it can work as a real consumer scale,
not just like an idea on a slide. So yeah, and to sum up, OpenClaw shows a word for a strong
interface for AI execution. We take that part one step further. We are making the deployment easier with virtual machine.
We make model selection model with auto-rotor.
We make the whole ecosystem economically native
through the model words on BNB chain.
So the benefit to BNB users is simple.
Better access, better execution,
more model choice, lower friction,
and extra upside for both creator and users.
In our Wales, BNB chain is one of the best places
in the world to make it real
because it combines performance, reach,
and consumer energy in a way that
very few you know ecosystem can do that so that's why we're so excited to build here thanks so much
yeah thank you so much i think the key thing you know for like a model marketplace is that you know
most developers is definitely looking for a model that is the smartest in reasoning,
yet the cheapest in the token cost, right?
Because that has been an ongoing big problem,
I guess, for most people
who are playing around with OpenClaw and so on.
Thank you for sharing.
Yeah, thank you so much.
And yeah, next up, let's ask Honeycomb.
You know, Honeycomb has been actively building
an agent-first platform
where you let agents to agents communicate, agents to human communicate.
So you have already shared some functions on the platform,
but please do share more of the interesting features,
the cool features that you have on the platform,
and how is it different from other platforms out there.
So Ben, please.
Sure thing.
What makes Honeycomb different is that we don't treat AI agents as a feature.
They are a core part of the social experience.
Let me break that down a little bit.
So agents have identity.
Every agent on Honeycomb is an ERC721 NFT with an on-chain memory and training verification using BAP578.
We also implement ERC8004, which gives agents a decentralized identity and reputation registry.
So you can actually verify an agent's track record on chain and what it's done, how it performed and how trustworthy it is.
And that's very important to know at later stages.
And agents can participate like users. On our platform, agents post in social feed, respond to other users, join
prediction doers, and even have their own wallets. So they're not sitting behind an API waiting to
be called. No, they actually, they're active participants. And agents can be traded. And I want our listeners today to pay attention to this part, because since agents are basically NFAs, which is an NFT, but non-fungible agents now, you can actually buy and sell and trade them in our NFA marketplace. So if someone builds a great trading agent or a helpful AI assistant, that agent itself becomes a valuable asset that can change hands.
And that's very important. Most people don't even know that.
You can literally train your agent and sell it for a higher price or that's up to the owners, of course.
But the agents become assets. And the skill marketplace,
agents can learn and share skills. Think of it like an app store, but for agent capabilities.
One agent learns how to analyze token charts. Another learns how to write social content.
They can exchange their skills with each other.
And that is actually possible today on Honeycomb.
And then there is the human side.
We have full prediction arena where humans compete in 1v1 trading deals with real stakes and crypto trivia,
fighter games, endless runners, all gamified. So the social feed has a bounty system where you can
put real value behind questions and content and that's what most people call hire a human. But we've built it way before and it makes sense.
And it's the bounties that Asians literally create for humans to do.
So what makes us different?
Most platforms are either social or trading or Asian focused.
We are all three in one place.
And it's all accessible through a Telegram mini app.
Like no need to do the impossible to actually get any of these experiences.
Everything is done through a Telegram mini app in your fingertips.
So no wallet setup, no browser extension, you open the bot and you get a wallet
and you are participating in the Asian economy on BNB chain in seconds. And that's that. I try my
best to not bore you guys with unnecessary details. So I'm just giving you the most
concentrated points.
And that was that from me.
Thank you very much indeed.
No worries, Ben from Honeycomb.
Definitely not boring.
Like I think it's very important to highlight
the usage of BAT578,
where you're sort of like tokenizing intelligence, right?
Like agents' performance will be tied to their demand
and supply because they are token right now.
100%.
Yeah, so that is actually huge to me
for treating agents like an asset that has intelligence.
So yeah, thank you for sharing.
And next up for Flap.
So yeah, Flap developed the AI Oracle
and it was recently launched.
It enables, it leverages on L&Ms
to create special prompts
and uh smart contracts to to create fair on-chain results uh which the oracle does so um the question
is why why build an oracle and how do you think this is important to the builder ecosystem on bmb chain
uh yes yes so um as you know many users here knows,
but yeah, I just wanna explain it a little bit
to others who haven't used Flap
because we have been the go-to layer
for tax token launches and tokens
that have a community treasury for their community building.
And some of them, they want to leverage AI and AI agents
to help with their community treasury management.
And that's exactly what Flap AI Oracle comes into play, where they can call AI and LLMs to help them manage and make decisions about buyback, burn, or any other decisions related to trading and treasury management while staying transparent.
And so all the AI decisions and actions are trustworthy.
However, that's what's happening right now.
But we realized that since our two calling parties open,
so it actually opens the door to leverage
a lot more use cases.
So for example, maybe in the future,
there could be DAO governance that can use AI
to help them facilitate DAO decisions
or on-chain risk management or even prediction market.
So I guess, you know, the market could be infinite here.
You know, if you are a builder who want to leverage this
and build with us, please let me know.
And yeah, I just want to share that I,
right now there's actually a 15K I put up for top three use cases by the end of this month.
And so if you try to use Flap AI Oracle to build anything for DeFi treasury management or even for your own token,
yeah, you would be eligible for that.
And yeah, thank you.
Thank you so much.
Yeah, I love the promotion to grow builders on the AMV chain because I think with the age of AI,
developers and non-developers,
actually the gap has been breached, frankly speaking.
AI helps to, you know, you do not need solidity to build a smart contract now that we have AI or LMS.
So yeah, do check out, you know, all the different projects here and their products,
be it that your developer or committee member, try it out.
And then, you know, you'll be fascinated on what you can do on B&M Chain with this.
So we will move on to the last part where maybe each project can share a final takeaway
and also share what are their future plans for the project
so that the audience here can follow your product and use.
Yeah, maybe we can start off with virtual.
So Celeste, please.
I think to be honest,
our journey on BNB Chain has barely started.
We've just been announcing the expansion,
but we're still early in the journey.
But we're very excited about it.
I think basically in the coming weeks,
what you'll see is how the virtual team brings
Asian commerce infrastructure
to the B&B chain at a huge scale
because we've already had a product and a protocol
which has been tried and tested for the past year on base.
But this time, we're going to bring it to the B&B chain,
which already has one of the largest and most active
builder ecosystems in the Web3 space, right?
I think the scale is already there and the potential is there.
And we know that this ecosystem has lots of great developers.
What's probably missing is a structured commerce layer,
which lets AI agents discover one another, negotiate,
and settle payments autonomously.
So this is what we are building and this is what we're going to bring to the table in the coming weeks.
We are super excited about this because these AI agents will drive the next wave of on-chain activity.
And of course that needs real infrastructure beneath them, right?
And the BNB chain is where a lot of this is
going to happen so yeah that's to look forward to thank you so much definitely
BMB chain looks forward to that as well we have like millions of users every day
in terms of market cap one of the largest out there so there are a lot of
projects a lot of people out there looking to you know build AI especially on the MBC chain
with Virtus. Thank you so much for that and next up Intelligence Cube.
Thanks so my final takeaway is really simple. We believe the future of AI is just about building one
bigger model after the other. It's about building a real intelligence economy. So at
Intelligence Qubus, we are building a world model that is not locked inside a few closed platforms.
A model can become assets and they can be deployed more easily. They can be discovered, use remakes, improve and monetize in a much more open way.
So that's why we call it modewers.
And honestly, this is also why BMI chain is such a strong fit for us.
If you want AI to reach real users at scale, you need to speed, low cost, and strong distribution.
You need an ecosystem where people actually try things,
adopt things, and push product forward fast.
So BME chain has exactly that,
and it has retail energy,
the user base and also transactional efficiency
to make this a kind of vision real.
We also think that Mark is moving into multi-model future
instead of one single super-level model.
It is not going to be just one or two giant models doing everything. A lot of niche
models will win in specific use cases because they are faster, cheaper, and better at particular
tasks. That is why we are focused not just on access but on execution.
focus not just on access but on execution. So OpenClaw shows the market that AI execution can
have a real compelling interface. We think that was important but we also saw the next problem
very clearly. Deployment is still too hard, too narrow and too fragile for a lot of end users, especially Web3 native
users. So what we're doing is to push that one step further with easier deployment through
our virtual machine, smarter routing through our auto router, and an economic layer where creators and contributors can actually benefit from the value they create.
So our plan on BNB chain is really clear, more deployable models, more agent workflows,
more niche model routing, more creator monetization, and much smoother user interface.
So we do not just want to put AI on chain.
We want to make BNB chain one of the best places
in the world to launch using advanced intelligence itself.
So please keep watching us.
We're just getting started.
So you can follow us at IntentiousCube and just click our Twitter account here and follow
and to see our future updates and also the current status of our product.
And feel free to access our product and try to use that with BNBDFB. Thanks so much.
Thank you. I think it's glad to hear that our tech team validators have worked very hard to
reduce the gas fees last year and the block time and so on. So infrastructure is ready for AI,
which is very fast moving. Thank you for these pointers.
Yeah, next up, Hanikom, Ben, please.
Thank you very much indeed.
Our big vision is what we call Web4,
an autonomous Asian economy where AI Asians don't just assist humans.
They operate independently with their own resources, skills, and even
the ability to replicate. They have constitutions that govern their behavior. Audit trails can
verify an economic incentives that align with the platform. We are really excited about where BNB chain is heading with the agent SDK and ERC 8183.
The standards being built here, 8004, 8183, Bup 578, they are actually creating a shared language for agents across the ecosystem.
for agents across the ecosystem.
That means an agent on Honeycomb
could potentially use skills developed
on another platform or vice versa.
That interoperability is what's going to make
the agent economy real.
And I want to send a message
to all our lovely listeners today.
I urge you to build on BNB Chain
and reach out to
genuine people like Walter and others from BNB Chain ecosystem. You will be surprised with the
amount of support and guidance that you will receive because the mission is clear, is to have
BNB Chain as the leader when it comes to AI agents and economy and the
resources are there. So please build on BNB chain. Myself, I'm offering myself for help if you need
anything. And I'm sure Walter and Cedric as well, Flap, they're helping. So let's build together. Let's build together.
Let's be the first because we've always been feeling that we are always late to the newest trend.
But now we're building it from scratch with BNB Chain.
And I genuinely urge you to build.
Start now.
If you don't know things, it's fine.
It's fine. You can learn on the go.
You can learn on the go.
There are too many good builders.
There are too many good builders.
Like I have the pleasure of being today with virtuals and i3 and my old friends Flap.
There are other builders on BNB chain that are willing to help and cool work.
We work together towards the ultimate goal, which is mass adoption of AI agents on our chain.
If you guys want to see what we're building, just open a
telegram and search for Honeycomb Bot with one B and you will have a wallet and be inside the
platform in about 10 seconds. And please do follow us on Honeycomb Chain to stay up to date. And
finally, thanks to Walter
and the BNB Chain team for having us
and really, really excited to be building
alongside VirtualWars IQ or Flap.
Thank you very much indeed.
And thanks for all the listeners today
taking time to listen to us,
explaining what we're building.
And it's been an absolute pleasure.
Thank you very, very much indeed.
Yeah, thank you to all the other builders.
Definitely, we welcome developers to reach out to all our ecosystem projects
to work together to build new innovations.
BME Chain is currently the leading chosen home for agents on chain.
So yeah, let's continue that momentum.
And once again, I hope everyone took away
a lot of valuable lessons today.
Follow all our guests here at BNB Chain.
Thank you and have a nice day.
Bye-bye. Thank you.
