Recently, if you have been following developments in the field of AI applications, it is almost impossible not to have heard of Lovart (known as “Xingliu AI” in China).

Its debut was nothing short of stunning

Following its launch, the product quickly sparked a sensation in the global tech community:

• The official video garnered nearly a million views
• Sparked nearly 5,000 discussions on Twitter
• Even the notoriously discerning Elon Musk couldn’t resist giving it a thumbs-up

Within just 24 hours, over 20,000 eager users flooded in, all vying for a precious beta invitation code.

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Do we really need another design tool?

You might be wondering, aren't AIGC tools already everywhere? From Midjourney to Stable Diffusion, to various complex ComfyUI workflows, do we really need another design tool?

The answer is yes — but what we need isn't just another "tool", but a completely new “production relationship.”

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Lovart’s rise: A valuable roadmap for AI entrepreneurs

Amid the current AIGC tool boom and what seems like a red-hot market, Lovart’s rise offers all AI entrepreneurs a highly valuable “roadmap.” It answers several critical questions:

• How can startups carve out their own space when giants dominate the market?
• When technology converges, what is the true competitive barrier?
• When users grow tired of “AI toys,” what kind of product will truly make them willing to pay?

After deeply experiencing and researching Lovart's domestic and international versions, Chaos AI has reached a conclusion:

What Lovart is doing may not just be a product, but defining the “final form” of creative work in the AI era.

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From “tools” to “creator teams”

He has a clear understanding of this:

“The essence of SaaS is that services are provided by people, and people use tools. Now, AI has become the primary provider of services. The commercial value here is enormous, essentially enhancing or even replacing the productivity of specific professions, and restructuring production relationships.”

This is the core idea of Lovart: upgrading AI from a “tool” to a “creative team (Creator Team).”

In this new model:

• You are no longer the sweating operator
• You become the client who defines the requirements
• Lovart is the service provider that understands your ideas and mobilizes its designers, directors, photographers (AI agents) to deliver the final work for you

This cognitive leap from “tool addition” to “dimensional multiplication” is the cornerstone of Lovart's success.

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A new value model: the “one-person creative studio”

Lovart introduces a new dimension of “service agentization”, which multiplies with the existing “multimodal creation” dimension to build an unprecedented value model:

“A one-person creative studio.”

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The metaphor of a “table”: How Lovart redefines interaction

So, how does this seamless collaboration between the “client” and the “service provider” work?

Chen Mian proposed a highly insightful metaphor — the “table.”

“If humans return to brushes, ink, paper, and inkstones, the canvas is the table. Now, when two people are designing, the client stands beside you and tells you what to do. You place the work on the table, and they point and gesture at the table... This is the most primal form of interaction or interface.”

Lovart recreates this original scenario

When you open StarFlow AI:

• You’ll see an infinitely large “canvas” (the table) on the left
• And a dialogue box (the client’s mouth) on the right

You can say in plain Chinese:

“Help me design a set of recruitment posters for the Chaos AI Innovation Institute, five in total, each with a different style.”

Within minutes, five professionally designed posters appear.

If you're not satisfied, just say:

“Replace the man in this image with a woman,”
Or: “Change the style to resemble Van Gogh's.”

This “canvas + dialogue box” interaction paradigm revolutionizes the AIGC user experience.

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The belief behind it

The Lovart team has always upheld:

AI in different vertical fields requires different interaction interfaces.
For design, a shared visual space is essential.

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[Finding Positioning] Misaligned Competition, Wild Growth

After constructing a new cognitive model, the next question is:
Where should this new species take root?

Chen Mian believes:

“Choosing the right track is far more important than the technology itself.”

Startups should deeply consider:

• Which value chain is longest
• Most painful
• Most reliant on human collaboration
• Can be fully integrated end-to-end by AI agents

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Avoiding giants, embracing verticals

Chen Mian and his team chose a path entirely different from the mainstream — vertical, focused, and rooted in the creative field.

While Adobe and Midjourney dominate the broader market, Lovart focuses on:

• Creative freelancers
• Professional consumer (Prosumer) segments

"Many startups fail by directly competing with industry giants... The opportunity lies in combining domain knowledge with AI to create unique user experiences."

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Redefining creators as directors

Lovart doesn't aim to build better tools.

It aims to redefine creation, transforming users from ‘operators’ into “directors” who enjoy creative results directly.

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A bold bet on the S-curve

Lovart’s success comes from its precise trend judgment.

• Midjourney (1.0) era is mature
• ComfyUI (2.0) has a high barrier to entry
• Agent (3.0) era is just beginning

Though Agent tech is immature, Chen Mian believes:

“When Agent matures, it will no longer be an opportunity for application-layer entrepreneurs. Bet early, while the model is immature.”

Lovart acted decisively, transforming future visions into reality through rapid iteration and precise execution.

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From tools to teams: Production relationships redefined

What Lovart brings is not just a tech revolution, but a transformation of "people and tools" relationships.

Chen Mian summarizes:

“AI is moving from replacing individual tools to replacing professions, and ultimately may replace teams with collaborative capabilities. That’s the most radical aspect.”

The Agent era is restructuring production relations — opening top-tier creative power to everyone, removing price barriers.

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The story behind Lovart's rise

Lovart’s rapid success is no accident.
It is the result of:

• Chen Mian’s decade of internet experience
• Deep business logic understanding
• Clear grasp of user needs and tech trends

He experienced the Didi vs Uber subsidy war, the shared-bike capital race, and periods of resource starvation.

But instead of giving up, he saw AI as redemption:

“The AI wave is a form of redemption for me. It gave meaning to all my fragmented experiences over the past decade.”

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Chen Mian’s advice to AI entrepreneurs

• Cognitive leadership is more important than technology.
• Differentiation comes from value, not just market gaps.
• Extreme execution and passion are key.

“The happiest thing is when the future you envisioned truly becomes reality in your hands.”

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The future is here — just not evenly distributed

Lovart and Xingliu AI have taken the first bold step.

The future is already here — it just hasn’t become mainstream yet.

—Are you ready to embrace your own “AI team”?