Aircoins that have no use case and only cut the grass will go to zero
Only projects with use cases and revenue can succeed
AI and payment are stable in terms of incremental and large-scale applications
The field is crowded with competitors
It just depends on who can scale the business
Recently noticed @Pan_Ecosystem
Continuously building payment and AI agents on BNB
Let's talk about this
1/ First, the big picture: why AI + payment is the future focus
AI now has plenty of models, what it lacks is a closed loop
The toughest link in the loop is payment
Whether you can complete order placement, payment, settlement, and profit sharing determines whether an AI Agent is a toy or a business
So in the future AI handles decision-making and interaction, payment handles value flow – that’s the overall direction
2/ What PAN is doing now: strengthening the foundation
PAN’s first stage saw high interaction heat, which already proves users are willing to participate
Now it has entered a maintenance and upgrade phase, actually to prepare for the next mass-deployment stage
Many projects die because they cannot sustain the initial hype without upgrades
PAN is using this round to solidify the system early, so later it can talk about scale
3/ Progress broken down: upgrade points are clear
Backend service layer
API interfaces and distributed databases have completed testing
The goal is to withstand high concurrency without crashing when user numbers rise
Frontend interaction layer
User interface has been upgraded
Supports core functions such as batch opening of AI blind boxes
Batch capability is a key step from trial to mass adoption
Business workflow
User payment → blind box generation → A2A profit sharing → result display
The complete workflow has been end-to-end verified
This part is highly valuable because it involves money; any broken link crashes the experience
Blockchain payment layer
Final integration is underway with BNB Chain node service providers
Ensuring A2A payment is stable and reliable under the x402 standard
In the future, transactions between agents will increase; A2A is not a gimmick, it’s a necessity
Deployment and security hardening
Production-level API cluster is being deployed
Release pace is steady: first security verification and stress testing,
then gray-testing for the core community,
and finally full open release
Payment should be slower rather than rushed for hype; a crash once essentially means chronic death
4/ Core pain points:
The biggest issue with AI Agents in the industry today is rough interaction
A bigger problem is the separation between interaction and payment
You can chat but not settle, you can execute but not share profit, you can run demos but cannot scale
PAN’s approach is payment as the base + interaction as the entry point + profit sharing as incentive
The goal is to create a commercial closed loop for AI Agents
5/ Assets:
The market ultimately recognises only two types of projects
Those that can make money
Those that are about to make money
Payment brings high frequency, AI brings high stickiness
Only the combination offers a chance for a positive revenue model
Later, when the Agent economy matures, machine-to-machine transaction volume may exceed human volume
Whose payment pipeline is more stable and lower friction will capture the increment
6/ Call To Action: what to watch next
@Pan_Ecosystem’s first stage already has a large number of users participating
Current maintenance and upgrades are for future mass rollout
I will focus on two things next
First, payment chain stability
Stability is a hundred times more important than flashy features
Second, can interaction turn from fun into sustained participation?
Sustained participation leads to revenue,
and revenue leads to longevity
This track isn’t lacking stories, it lacks teams that can turn stories into cash flow
I will keep watching; if they achieve large-scale adoption and revenue,
it should be a good opportunity
