Build an App in 30 Seconds, Write Content in Real Time — “Lingguang” Aims to Redefine the Boundaries of Creativity with AI

The Rise of AI That Acts, Not Just Talks

If you’ve ever wished your phone’s AI assistant could actually get things done—not just fetch facts or repeat information—you’re not alone.

In 2024, the shift is clear: AI is moving from chat-capable to action-capable.

• OpenAI rolled out Atlas.
• Google’s Gemini 3.0 is set to operate computers directly.

The race is on to turn speech into operations—transforming dialogue into tangible results.

Now, Ant Group has introduced Lingguang: a fully modal general AI assistant.

No detours—just speak, and it acts. Your ideas are turned into things you can see, use, and interact with instantly.

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From Answering to Expressing: The Aesthetic of Information

Lingguang’s interface starts with something familiar: a chat window.

You give natural language requests like:

• “Tell me the calories in this drink.”
• “Record today’s dietary intake.”

This simple entry point lowers the learning curve, making the experience fluid and intuitive.

Behind the scenes, every sentence becomes an action trigger.

Example 1: Interactive 3D Content

When asked: “What’s unique about the Canton Tower’s architectural design?”, Lingguang delivered:

• A textual explanation.
• An interactive 3D model you can rotate and zoom.

The experience merges text, images, and animations for a rich, illustrated explanation—saving time on searching and piecing information together.

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Example 2: Personalized Map Creation

Request: “Plan me a food-hopping itinerary nearby.”

• Inference: “Nearby” meant Guangzhou.
• Output: An interactive map with curated locations, ratings, hours, and walking routes.

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Example 3: Structured Analytical Output

For complex questions like:

• “Why are consumer brands selling their China operations?”
• “Why is skeuomorphic UI design declining?”

Lingguang delivers structured insights:

• Breaks down influencing factors.
• Orders content into a clear cause-and-effect flow.

It uses title-plus-summary cards embedded in a text-image format—maintaining clarity without overwhelming the user.

This “information aesthetic” makes comprehension fast and mimics expert-level writing.

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How Lingguang Does It

The assistant runs a content creation workflow centered on live code generation:

• Images, maps, and 3D animations are powered by in-the-moment code creation.
• Multiple agents collaborate—one for images, one for layout, one for data—like LEGO bricks snapping together.

Results:

• Flexible integration of multiple media types.
• Naturally fluid output that’s easy to share or repurpose.

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One Sentence, 30 Seconds — Build an App Instantly

Lingguang’s Flash App feature closes the gap between idea and execution.

Other agent architectures often stall at “understand but don’t execute.” Lingguang skips waiting—it generates usable tools instantly.

Example: “Make me a tool to split long text into smaller paragraphs.”

• 30 seconds later: Fully functional tool—adjust paragraph count, auto-split text—embedded directly in chat.

Another use case:

• Request: “Translate menu items into Chinese and read them aloud in the original language.”

The system auto-creates:

• UI design.
• Front-end page.
• Back-end logic.
• Translation and speech synthesis modules.

No coding. No installations. Just a working mini-app that’s ready immediately.

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Interactive Vision — “Open Eyes”

Lingguang’s camera mode is called Open Eyes.

Instead of typing, you point your camera—and AI sees.

Example: Point at a cup of milk tea:

• Lingguang gives dietary advice, storage tips, and prompts follow-up questions.

Particularly handy for:

• Food.
• Medicine.
• Unknown products—helping elderly relatives identify items.

Where older AI only identified logos, Lingguang understands context—why you’re looking, and what you might need next.

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Giving Creation Back to Everyone

Lingguang changes the flow from:

Ask → Answer → Take Action

to

Speak → Create

That leap means:

• Zero code knowledge required to build functional tools.
• Everyday language works as a production command.
• Ordinary people become makers instantly.

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The Bigger Picture

This shift shows that the future AI race isn’t just whose model is stronger, but who can convert capability into compelling user experiences.

Platforms like AiToEarn官网 make it possible to:

• Generate AI-driven tools & media.
• Publish across Douyin, Kwai, WeChat, Bilibili, Rednote, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, and X/Twitter.
• Track performance via analytics and AI模型排名.
• Monetize creations globally.

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In short:

Lingguang embodies the move from AI talking to AI doing—and puts the power to create into everyone’s hands.

With platforms like AiToEarn, those creations can reach audiences anywhere, turning a “one sentence” idea into global results.

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