From a product perspective, white http://B.AI Make the path of "multiple model calls+payment settlement+privacy" shorter Sun Ge participated in the consultant's project http://B.AI In terms of product form, it is more like doing something that may not look sexy, but is crucial for scaling up: Enable users/developers/future intelligent agents to use a unified entrance and settlement method to access top models and computing power with low friction, while minimizing the behavioral profile and wall effect brought by traditional payment systems. 1) What are the pain points of users? It's not 'no model', it's' calling this thing too fragmented ' If you are an ordinary user or lightweight creator, you will encounter this experience problem: I want to use different models to complete different tasks: write one, code one, image one, and reason one But each household needs to register, subscribe, bind payments, and switch accounts Once payment is involved, the information chain and behavioral sedimentation are very heavy (privacy sensitive people will be very concerned) If you are a developer/team, the pain points will be harder: Multiple models with different APIs, speed limits, billing rates, and bills Purchasing and reconciliation are like doing a supply chain The model iteration is fast, and the maintenance cost of the access layer is increasing A more realistic point is that cross regional payment/risk control/compliance processes will directly affect progress And when you start working as an agent, the pain points will escalate into 'structural issues': Agents need to dynamically select models and computing power based on tasks Agents need to 'pay for resources themselves' in order to continue running Without payment and settlement capabilities, the agent is easily stuck in the demo (relying on manual renewal/maintenance) 2) White http://B.AI Split the product into three layers: entrance, routing, and payment network white http://B.AI The product design is not a single point function stack, but a three-layer structure, corresponding to three types of users and future evolution: (1) To C: BAIklaw (White Shrimp Assistant) - Multi model interactive entrance, focusing on privacy experience This is the entrance layer for ordinary users: aggregating multiple modalities and models into one interactive end, and placing "privacy protection" on the main narrative. In terms of product value, it addresses the need to use the most suitable model but not to migrate and expose information across a bunch of platforms. A very intuitive comparative case: When you subscribe/bill with a credit card on traditional platforms, the payment link naturally crystallizes "who you are, where you are, what you have bought, how often you use it, and what abilities you prefer" into a portrait; And white http://B.AI The main recommended path is wallet address login+on chain payment, trying to break down the binding relationship of "payment identity behavior" as much as possible, so that privacy sensitive users do not have to default to submitting a complete profile when using multiple models. This is also a point specially promoted by Sun Ge: anonymity and privacy are not gimmicks, but production factors in the Agent era - whoever controls the call and payment data controls the future distribution and pricing power. (2) To B: LLM Top Large Model Aggregation Routing - Developer Default Gateway For developers, white http://B.AI The key point is' routing 'rather than' model '. It provides a unified API, turning multi model integration into a more engineered capability: • No need to discuss procurement and SDK for each company individually • No need to maintain complex switching and strategies on your own • Enable product teams to allocate resources towards experiences and scenarios, rather than glue engineering You can understand it as the "access layer and scheduling layer" in the era of multiple models. (3) To Agent: AI Intelligent Agent Chain Payment Network - Empowering Agents with Identity and Payment Capability white http://B.AI The mentioned dual protocol (x402/ERC-8004) corresponds to two core capabilities: ERC-8004: On chain identity (allowing agents to be identified, authorized, and metered) X402: Friction free payment (making payment programmable) What it wants to solve is that when the agent starts running autonomously, payment/settlement should no longer rely on the system of "human account+credit card+platform risk control". Here, a more 'perceptible' case can also be used to understand: Assuming that an agent needs to collaborate with five other agents to complete a task (A2A) and split accounts in real-time based on contributions: it is difficult to achieve "second level micro settlement+automatic reconciliation+verifiable history" in traditional systems; By relying on x402 and ERC-8004, transaction and interaction history can be accumulated as a verifiable trust foundation, gradually forming a credit system of "Agent Society", making truly decentralized A2A collaboration and micro settlement possible. More importantly, once this payment network supports multi chain and mainstream cryptocurrency payments, it is not a matter of whether the agent can pay, but rather a matter of whether the payment is fast enough, low enough friction, and cross ecological - this will directly determine whether the agent's commercial closed loop can run. 3) The problem it solves can be summarized as a product slogan: shorten the path From a product perspective, white http://B.AI What we are doing is shortening the link: Previously: Multi platform registration/subscription → individual payment binding → calling trace and portrait → multi model maintenance and reconciliation Now (white) http://B.AI Narrative: Wallet login+on chain payment → Unified calling and routing → Clearing network supports settlement → Fewer gateway barriers Note its PR boundary here: white http://B.AI It does not describe itself as a "proxy/intermediary station", but emphasizes intelligent routing, computing power aggregation, underlying infrastructure, privacy protection, and borderless access - that is, placing oneself in the infrastructure position rather than the tool assembly position. 4) How to say benchmarking is professional: the experience is similar to OpenRouter, but the difference lies in the privacy and payment closed loop If you have to find a reference for the "experience layer", white http://B.AI On the usage path of To C/To B, it does evoke the idea of a "multi model aggregation platform" (such as OpenRouter's approach). But white http://B.AI The difference I want to emphasize is not 'more models', but two points: 1) Stronger privacy narrative: Through on chain payments, try to cut off the information collection loop of traditional payment systems as much as possible 2) More towards Agent Economy: Not only aggregation calls, but also making identity and payment/settlement into underlying networks, allowing Agents to independently purchase computing power and form a business cycle That's also why it avoids direct competition with OpenAI/Anthropic - its ambition is not in the model layer, but in the underlying ability to 'make the model and agent run sustainably'. 5) Who is suitable for: Three types of users can easily identify themselves at a glance Ordinary users/creators: those who want an entrance to switch models at any time and are more concerned about privacy and payment traces. Developer/Product Team: A team that wants to reduce the maintenance cost of multi model access, especially those that require dynamic routing, unified settlement, and fast iteration. Agent Builder: The goal is to enable the Agent to truly run autonomously (able to pay, reconcile, and close loops), rather than just being a demonstration. 6) Why is it said that Sun Ge's layout is "high in scope": starting a new business is not about changing tracks, it's about betting on the foundation Sun Ge, as a white http://B.AI Consultant, I think the most touching aspect here is not the 'platform', but the typical AI entrepreneur temperament he possesses: he can see further and is more willing to do difficult things. Many people choose to pursue hot topics and create traffic oriented products at the application layer; Sun Ge is more like putting his chips on the necessary items for the next stage during his "second entrepreneurship/restart" - when the agent moves from "conversational" to "collaborative, transactional, and self operating", identity, payment, clearing, and routing will change from optional to basic configurations. This choice may not be the most lively, but once the trend is realized, the ecological niche of infrastructure will be more stable and thicker. Being able to promote "anonymity and privacy protection" and "agent economy" while everyone is chasing short-term narratives @justinsuntron @BAI_AGI TRONECOStar