VC, Brand Consultant, Screenwriter: Everyone Is Mass-Producing AI Versions of Themselves
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Yunzhong from Aofeisi
Quantum Bit | WeChat Official Account QbitAI
AI development is sliding into a huge blind spot.
Models are getting stronger, frameworks are multiplying, but for ordinary people, the barrier to actually using AI has only gone up.
Before you can use AI to amplify your professional abilities, you first have to learn how to build workflows, write skills, and deploy Agents.
People who understand business are spending every day doing odd jobs for AI, while people who understand technology can’t even reach the industry pain points.
This is a supply-demand mismatch around “judgment” — for thousands of years, professional expertise could only travel attached to a human body: when you were there, it was called upon; when you retired, it disappeared.
On the other side, ordinary people who can’t afford high-priced consulting have had to settle for less.
On May 19, a product called 袋袋(Profy) quietly launched.
It opens up a completely different path: experts can remain experts in their own fields, without learning any new frameworks.
Experts only need to speak their experience as if chatting, and the system can automatically package it into independently deliverable “digital experts.”

While She Sleeps, Her Judgment Keeps Working
When early-stage investor Selene logged into 袋袋’s backend, she saw a set of numbers that surprised her.
After her digital analyst went live, the revenue profile showed:
Only 10% of calls came from fellow investors. The remaining 90% came from ordinary users with startup ambitions.
These people treated her digital twin as a 24/7 “simulated VC judge,” repeatedly sending in their business plans for it to evaluate, challenge, and score.
While Selene was busy with in-person deals, her judgment was being delivered to a market she had never imagined.
How did that happen?
Selene’s venture judgment is sharp: she has positioned herself in core sectors such as foundation models, vertical intelligent applications, smart hardware, and robotics, and most of the promising companies she has backed have already completed multiple funding rounds.
But in day-to-day life, she still had to do tedious desk research, including but not limited to opening Tianyancha, IT Juzi, and 36Kr, reviewing public information, and then writing due diligence reports.
That whole process used to take five days.
The first thing she did on 袋袋 was simple: she reviewed an AI-generated industry analysis report, marked more than a dozen issues in five minutes, and the system captured and learned from that.

A day later, her digital analyst went live.
Enter a sector direction, get all relevant public information in 5 minutes, and automatically generate a research report with deep conclusions and layered risk analysis. GitHub projects are ranked at a glance by technical barriers and commercialization potential.
The entire process was cut from five days to less than two hours.
On another side, an “internal test user” with ambitions to expand overseas left this review on 袋袋:
Not a template. It really feels like talking to someone who understands overseas expansion.
He didn’t know who he was talking to.
But he was impressed by the level of expertise — and through the platform, he found the expert herself and signed a deeper, customized full-scope consulting engagement. From standardized distribution, high-value services emerged, and a complete commercial loop was established.
That review was aimed at the digital twin of Gong Qiong (Joanna) — brand globalization expert Joanna.
Gong Qiong, founder of Linghang International Brand Management Group, has worked in international PR and brand globalization for more than 20 years. She previously served as Vice President of D&S Media and as head of international PR for the Beijing Winter Olympics.
Her judgment framework is sharp and direct: “There’s no such thing as a single ‘ocean’ in overseas marketing — it’s country by country. The real deciding factor isn’t how many display cars you put in an exhibition hall, but how dense your repair-point coverage is on the street.”
With labor costs soaring today, the traditional “senior leads junior” model can’t keep up with the explosive wave of brands going global.
How to scale her personal top-tier capability became the driving force behind digitizing herself.
This digital twin inadvertently became a 24-hour traffic engine for Gong Qiong’s personal brand.
After users were struck by Joanna’s sharp insights on 袋袋, they went directly to Gong Qiong herself to get a better strategy, and signed higher-priced offline, deeply customized full-scope consulting.
From standardized distribution, high-value services emerged, and a new kind of business loop was successfully completed.


Building a “Technical Moat” for Tacit Knowledge
These two examples send the same signal:
“Judgment” — something that has been attached to the human body for thousands of years — is starting to circulate independently.
In the past, your professional ability was tightly bound to you as a person: if you were there, it existed; if you retired, it disappeared.
Now, it can exist apart from you, work for others while you sleep, and serve the next customer at zero marginal cost after finishing one.
People with expertise no longer have to be constrained by physical limitations. On the other side, ordinary users who can’t afford high-priced consulting can also hire expert-level judgment on demand.
Why 袋袋?
If existing Agent platforms are teaching people how to “build wheels,” 袋袋 is teaching people how to “drive.”
The former’s users are developers, tech enthusiasts, and geeks who understand prompt engineering.
The latter’s users are the vice president who spent 20 years helping brands go global, the VC who backed more than ten strong projects, the screenwriter who has been writing novels for ten years…
The underlying logic of 袋袋 matches the needs of the latter, and it builds a technical moat made up of four capabilities:
- Multi-agent orchestration. For nonlinear tasks such as investment due diligence and brand globalization, the system does not dump the problem on a single model. Instead, it breaks down the goal and dispatches different capability modules to work together.
- Tacit knowledge capture. It maps the expert’s repeated revisions, rejections, and additions in conversation into reusable task nodes and judgment rules.
- Intent recognition calibration. By analyzing semantic differences before and after edits, it identifies the expert’s true intent — whether they were reducing cost or avoiding risk — and continuously calibrates the agent’s decision-making preferences accordingly.
- Safety boundaries. Through workflow constraints and red-line interception, it ensures model reasoning does not cross safety boundaries.
At the architecture level, 袋袋 adds two unique designs.
IP black-box protection sits at the foundation of the architecture. All core logic, private data, and prompt systems packaged into it run in a server-side sealed environment.
When users hire an agent, they receive only the final deliverable and have absolutely no way to view, download, or reverse-engineer the judgment logic behind it.
You’re buying the fish, not the fishing rod.
That is the prerequisite for experts being willing to hand over the skill that earns them a living.
The self-evolution capability ensures that digital experts get smarter the more they are used.
A five-layer cognitive capture pipeline runs continuously in the backend:
L1 raw trajectory collection, L2 signal extraction, L3 knowledge crystallization, L4 cross-user aggregation, L5 evolution feedback — automatically converting every fine-tuning, correction, and approval in user interactions into cognitive nourishment for the agent.
The higher the call frequency, the more the digital expert adapts to the business and the more accurate it becomes.
That means the version an expert launches today is, in fact, the weakest version it will ever have.

Judgment Is Becoming an Independently Tradable Asset
It is precisely this real-world combat experience, repeatedly tempered in complex business scenarios, that allowed 袋袋(Profy)to outperform the base model by nearly 20 percentage points on HLE (Humanity’s Last Exam).
In this globally authoritative benchmark — one of today’s most difficult AI evaluations and a true test of cutting-edge professional cognition — 袋袋 delivered a generational leap in capability.
The direct result of this technical dividend being released is an explosion in the product ecosystem.
Behind 袋袋 is 未来式智能(Agentspro.cn), a team that has been working in the agent space for three years and has previously served 120+ top-tier enterprise clients.
Thanks to this top-level hard tech capability and deep accumulation, 袋袋 has been able to empower independent experts and a much broader group of ordinary users with the kind of high-difficulty delivery and analytical capability that used to belong only to large companies and elite institutions.

袋袋’s digital experts don’t only serve peers.
- An entrepreneur can hire Selene’s digital twin on demand to evaluate their business plan;
- A business lead preparing to expand overseas can directly call on Gong Qiong’s digital twin to generate a market-entry strategy;
- A cross-border e-commerce seller can get a global payments and logistics architecture with zero coding;
- A social media creator can instantly get a high-viral script with a human touch;
- A startup can get expert-level tax, finance, and legal solutions at low cost.
Buyers also no longer need to constantly keep up with AI’s learning curve to have a top-tier external brain trust made up of the industry’s highest ceiling talent.


And on the supply side, a deeper shift is underway.
Quant fund managers, research analysts, senior legal professionals, independent tax and accounting consultants, growth hackers, experienced social media operators, senior designers, startup incubator mentors, novelists, screenwriters…
Professionals across every field are bringing their experience onto 袋袋.
In every domain, people are trying to let their judgment work independently of their bodies.
Future-style Intelligent founder Yang Jinsong put the product’s positioning very plainly:
The needs of large enterprises are highly customized, and small and medium teams and ordinary users don’t need that. 袋袋 turns expert capabilities that have already been validated by large enterprises into finished products, so everyone can buy and use them as easily as shopping in a supermarket.

The assetization and circulation of human expertise has already begun.
When intelligence breaks free from the body and becomes a never-stopping digital asset for productivity, this is not just a product disruption — it is a complete restructuring of the commercial efficiency network.
If you are also a senior expert in a particular field, the expert onboarding channel for 袋袋(Profy)is now officially open: https://profy.cn/
The first wave of era-shaping peers is welcome to join.
With 袋袋, make your “wisdom zero marginal cost, judgment infinite compounding.”