---
title: "Unique Friends | Fuzflo’s Bai Shuang: Unlocking Expert Experience Beneath the Tip of the Iceberg"
author: "Unique Research"
sourcePublication: "Unique Research Substack"
originalPublishedAt: "2025-11-06T08:26:00+00:00"
canonical: "https://ffcap.cn/en/research/unique-research-2025-11-06-02"
source: "https://uniqueresearch.substack.com/p/unique-research-2025-11-06-02"
language: "en"
---

# Unique Friends | Fuzflo’s Bai Shuang: Unlocking Expert Experience Beneath the Tip of the Iceberg

_Original · Unique Research · 2025-11-06_

_Editor’s note: This complete English edition retains the original report’s commentary and Bai Shuang’s interview in full. Product capabilities, market expectations, compliance practices and projected economic effects are statements of the source and interviewee, not independently audited findings. No publication city is inferred._

In artificial intelligence, one challenge is even harder than the technology itself: turning human experience and wisdom into productive capacity that machines can inherit, execute, and amplify. Bai Shuang is working on exactly that.

A serial entrepreneur fluent in Chinese, English, and French, and working at the intersection of language science and media science, she is not interested in technological showmanship or stacking up parameters. Fuzflo, the company she founded, and its core product, the Leapility agent operating system (Agent OS), target a field that has long been overlooked despite its enormous potential: releasing expert experience at scale. Her goal is to turn every expert’s signature know-how into a “digital externalized self” that can be replicated, traded, and upgraded in the AI era.

Knowledge Is Not Information; Experience Is the Scarce “Fuel for AI”

If earlier AI systems were “moving knowledge,” then Leapility, as Bai Shuang has designed it, is “transferring experience.”

In her view, some of humanity’s most valuable intelligence—the tacit experience of doctors, lawyers, operations consultants, marketing experts, and educators—is often missed in the AI era. It is rarely captured in structured documents, standard textbooks, or code interfaces, yet it contains the most practical and adaptable ways to solve complex problems. This is precisely what AI needs to move from “general intelligence” to “professional intelligence.”

That is also where the problem lies: experts cannot code, while developers do not understand industry pain points. Most Agent development platforms on the market are built for technical users, leaving experts either unsure where to begin or unable to maintain what they build. Monetizing knowledge? Fraught with difficulty. Converting experience? Impossible to scale. Truly valuable insight therefore remains locked inside individuals, unable to make the leap or be shared.

Leapility is trying to break that deadlock. It is an Agent-building platform, a marketplace, and an ecosystem. Bai Shuang describes it as a move “from SaaS to VaaS” (Value as a Service). An expert’s experience is no longer an abstract idea or a speech, but an Agent in its own right—one that can be invoked, executed, trained, and optimized.

This is an entirely new path for turning knowledge into an asset. It does more than deliver a tool; it gives rise to a new economic model: the expert-agent economy.

AI Is Moving from the “General” to Having a “Persona” and Serving the “Individual”

In the past, conversations about AI focused on algorithms, models, and accuracy. Now the discussion is turning to a more human-centered question: Can AI represent “me”? Can it understand “me”? Can it work on my behalf?

Leapility’s answer is yes. Its “expert agents” essentially encode an expert’s language, experience, logic, and problem-solving strategies in AI, creating an Agent with a distinct persona. It can not only take repetitive administrative work off an expert’s hands, but also reproduce that expert’s style and judgment in professional services.

Once this capability can be packaged, reused, and traded through a platform, an Agent rises from an “assistive tool” to a “productive role.” One person can “employ” multiple Agents of their own creation to serve different platforms, clients, and use cases; a small team can likewise use fewer people to achieve broader service coverage and greater delivery capacity.

This is the “intelligence for individuals” that Leapility is advancing: a one-person company is no longer a dream, and a small team can deliver big results.

Rebuilding the AI Value Chain: Technology Is Not Just a Tool, but a Force Reshaping Production Relations

One important point Bai Shuang makes is that Agentic AI is not merely a breakthrough in technological paradigms; it also restructures production relations.

Traditional AI applications are mostly organized around enterprise services, in a “large center, small endpoints” structure. Leapility is instead trying to establish a new “multiple centers, interconnected network” structure: experts are both providers and consumers of Agents, and every agent can serve its creator while also becoming a productive tool for others.

This entails an extraordinarily subtle yet far-reaching shift: AI is no longer a tool a company gives you; it is leverage you use to build your own capabilities. Within this structure, expert experience is not a one-off deliverable but a living asset that is continuously optimized, versioned, and developed alongside its creator.

Leapility connects these assets to a marketplace. Through its CAF ecosystem (Customer-Agent-Factory), it links end-user needs, expert agents, and ecosystem services to create a “Value as a Service” cycle—directing the power of AI toward enabling people to make their own leap forward.

Globalization Is Not Expansion, but the Joint Construction of Bridges for Knowledge to Flow

Leapility also brings a distinctive mindset to globalization: it begins not with “taking products overseas,” but with “connecting experts.” The spread of AI is not simply an export of code and models; it is also a transfer of knowledge and experience.

For different countries and regions, Bai Shuang’s team works with different types of expert partners. It builds local adaptation mechanisms for data privacy, compliance, and cultural differences, and uses multilingual content capabilities to create an agent ecosystem in which knowledge can genuinely circulate.

She has a clear-eyed understanding of China’s global role in AI: the country must export not only tools and technology, but also “the ability to solve problems.” Truly influential Chinese AI companies will be organizations that understand problems, solve them, and connect different bodies of knowledge around the world.

From “Signature Know-How” to “Value at Scale”: Individual Awakening in the Agent Era

“Pioneering Intelligence | The Age of the Individual” is not merely a slogan; it is a dual revolution in productive capacity and production relations. In this era, individuals are not targets for replacement by AI. They are centers of intelligence that collaborate and grow with AI.

Bai Shuang’s idea of an “externalized self” is not a fanciful digital double, but a highly practical, operable, and tradable network of Agents. It helps turn the judgments in your mind, the experience in your hands, and the explanations you repeat again and again into agents that act automatically. It extends your intelligence, offers a way to monetize your professional ability, and becomes your “second self” in the AI era.

Over the next 1 to 3 years, those who master Agent design thinking and asset-management capabilities will be the first to secure a position in the agent economy. Individuals and small teams that become “AI-enabled” early will no longer be dependent on platforms or organizations; they will possess their own value leverage and capability engines.

This revolution does not depend on enormous GPU capacity or require complex foundational modeling. It requires just one conviction: everyone deserves to be empowered by AI, and every body of experience deserves to be shared with the world.

Leapility offers not an AI product, but a roadmap for a “leap in capability.” In her own way, Bai Shuang is drawing that map for everyone seeking direction amid the AI wave.

Selected Interview Q&A

Q1: Could you begin by briefly introducing yourself, along with your company’s background, development history, and core positioning in AI?

Bai Shuang: I am Bai Shuang, a serial entrepreneur in artificial intelligence, founder and CEO of Leapility—known in Chinese as Yuexiang—and the planner and initiator of the technology talk series Shuangshuang Talk. My academic background is in language science and media science, and I am fluent in Chinese, English, and French. I am committed to bringing interdisciplinary thinking and a global perspective to AI product innovation.

Leapility is an agent operating system (Agent OS) launched by Fuzflo. Initially designed for experts and AI-native organizations, it helps business experts create AI-agent “externalized selves” of their own. By combining each expert’s distinctive knowledge and experience, these agents can undertake administrative work at scale and with high efficiency, unlocking virtually unlimited productivity. Our core positioning in AI is to advance an “expert-agent sharing economy” and make artificial intelligence a powerful engine for leaps in human knowledge and capability.

Q2: What is your company’s principal AI product or solution today? What industry pain points does it address, and what innovative value does it create?

Bai Shuang: Our flagship AI product is the Leapility agent operating system, an Agent OS platform for experts.

It primarily addresses the following industry pain points:

Limitations of general-purpose models and agents: the tacit experience of human experts is valuable AI input that has yet to be used at scale

Technical barriers: most Agent design tools on the market are intended for developers and do not effectively enable experts to convert experience and professional knowledge into Agent capabilities

The difficulty of scaling expert experience: experts have limited time and energy, making it difficult to bring their best solutions to a broader customer base

Inadequate mechanisms for monetizing knowledge: without a rigorous and sustainable model for knowledge monetization, experts are cautious about making their “signature know-how” explicit

Innovative value:

Pioneering a new model for the “expert-agent economy”

Enabling the transition from SaaS (Software as a Service) to VaaS (Value as a Service)

Creating mechanisms that turn expert knowledge into an asset and continuously optimize it

Q3: As the company’s founder and core leader, what original purpose and vision guided you as you founded and developed the business? What drives your sustained commitment to AI?

Bai Shuang: My original purpose comes from the life principle of “unity of knowledge and action” and the belief in “technology for good.” As an entrepreneur and media professional, I use Shuangshuang Talk to share an optimistic, open view of technology and advance people’s understanding (“knowledge”); through Leapility, I seek to let AI genuinely free human labor, unleash creativity, and help people achieve leaps in capability (“action”).

What drives my sustained commitment to AI is the goal of making artificial intelligence a powerful engine for leaps in human knowledge and capability. I believe AI technology can help more people attain both economic freedom and creative freedom, enabling humanity to move confidently into the AI era.

Q4: What do you see as the most groundbreaking advance in generative AI today? How is your company incorporating these frontier technologies into its products or services?

Bai Shuang: The greatest breakthrough in generative AI is the rise of the intelligent-agent (Agent) paradigm. From answering knowledge questions and thinking deeply to planning and acting proactively, AI has entered its third stage—the Agent stage.

Through an original natural-language Agent-building tool and an operating system that includes an expert-Agent marketplace, Leapility has created a breakthrough expert-Agent operating system. It enables expert knowledge and experience to be effectively converted and accumulated, while the marketplace allows the expert-agent economy to develop at scale.

Q5: As AI technology iterates at high speed, how does your company balance technological innovation with commercial execution? Where do you place the emphasis in resource allocation and strategic planning?

Bai Shuang: The company adheres to the principle that “technological innovation drives commercial execution.” We use the CAF ecosystem model to connect business needs with expert resources, turning expert knowledge into an asset and continuously improving it. In allocating resources, we focus investment on Agent design tools, the marketplace, and the talent-development system, ensuring that technology and the market work as twin engines.

Q6: Has your company already begun positioning itself for or exploring emerging technological paradigms such as Agentic AI? How do you believe these new paradigms will reshape the future ecosystem for AI applications?

Bai Shuang: Leapility is already deeply engaged with Agentic AI and is committed to advancing the “expert-agent economy.” The Agentic paradigm will reshape the AI application ecosystem and restructure production relations and value chains. It will allow individuals and small teams to unleash greater productivity through expert Agents, moving AI toward an agent economy.

Q7: As AI applications become unconstrained by boundaries, what major opportunities and challenges has your company encountered in expanding its AI products or services globally? How do your market strategies differ across countries or regions?

Bai Shuang: Globalization creates enormous market opportunities, particularly for the flow of expert knowledge and the agent economy. Because our growth model is driven by expert users, we emphasize different types of expert partners in different countries and regions according to local market demand.

Q8: As AI technology expands globally, how can companies effectively address cross-border issues such as data privacy, ethical standards, and cultural differences? What practical experience does your company have in these areas?

Bai Shuang: The company addresses cross-border data privacy and ethical standards through compliant data-processing mechanisms and multilingual support. Our team members have a global perspective and actively collaborate with local partners to deploy AI in compliance with regulations and adapt it to local cultures.

Q9: What role do you believe Chinese AI companies play in the global AI market? How should they further strengthen their competitiveness and influence as they globalize?

Bai Shuang: Chinese AI companies are gradually becoming important drivers of global AI innovation. We should remain committed to original innovation and approach the search for problems and solutions with optimism and confidence. At the same time, we should promote international cooperation and ecosystem building to strengthen our capacity to serve global markets.

Q10: The theme of this conference is “Pioneering Intelligence | The Age of the Individual.” How do you interpret this theme? In your view, how will AI technology redefine an “individual’s” creativity, productivity, and commercial value?

Bai Shuang: “The Age of the Individual” means that AI will empower everyone and unleash individual creativity and productivity. Through expert Agents, everyone can possess an “externalized self” of their own, enabling knowledge and capabilities to flow at scale, allowing “small teams to deliver big results,” and reshaping the distribution of commercial value.

Q11: In the context of your company’s business, could you share a specific case or scenario showing how your product or technology empowers an “individual creator,” a “one-person company,” or a “small team”?

Bai Shuang: Consider a consultant who helps SaaS products expand overseas. Leapility helps the expert turn global operating experience, SOPs, training materials, and other resources into agents, forming a portfolio that might include a personal-brand content-generation Agent for the individual expert and an overseas social-media strategy-analysis Agent. Without complex technology, the expert can deliver professional services at scale, greatly improving efficiency and achieving a leap in personal capability.

Q12: For “AI Creators” in your field, what are the greatest opportunity and the most serious challenge today?

Bai Shuang: The greatest opportunity is the rise of the agent economy, which is making it possible to monetize expert knowledge and scale capabilities. The greatest challenge is that technical barriers remain and knowledge-monetization mechanisms still need improvement. Experts need a secure, sustainable path for turning knowledge into an asset.

Q13: Looking ahead over the next 1–3 years, where should “individuals” and “small teams” prepare in advance to better capture the opportunities of the AI era?

Bai Shuang: Individuals and small teams should develop AI-agent design and application skills early, master Agentic workflows and knowledge-asset management tools, cultivate a mindset of open collaboration and continuous learning, and actively participate in the expert-Agent ecosystem to achieve leaps in capability and value.

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Original publication: https://uniqueresearch.substack.com/p/unique-research-2025-11-06-02
On-site reading page: https://ffcap.cn/en/research/unique-research-2025-11-06-02