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Feishu Hong Kong / Resources

Build a Viral Content Workflow with Lark Multidimensional Tables and AI Assistants

Toolchain Breakdown Crisis and the Unexpected Delight of the Lark Ecosystem

Just finished our morning stand-up meeting when—without warning—the account for an external AI-powered office tool, heavily relied upon by our team, got suspended.

Yes, you heard that right: the account was gone.

Watching the wave of despair flood our group chat, I—the only person on the team with even basic workflow-building know-how, affectionately dubbed “Cookie Brother”—had no choice but to step up.

For our content team, the lifeblood is deconstructing viral hits and generating scripts. With the toolchain severed, were we really expected to revert to purely manual drafting? I immediately decided: full migration to Lark.

At first, I only wanted to leverage Lark’s instant messaging and multi-dimensional tables to stabilize foundational team collaboration. After all, it comes out-of-the-box with documents, calendar, video conferencing, and approval workflows—standard capabilities that could easily serve as a reliable safety net.

But what I never anticipated was that this “forced relocation” would unexpectedly open the door to Lark’s open ecosystem.

While rebuilding our content workflow, I experimented with integrating a third-party intelligent work agent into Lark.

The result? Unbelievably smooth—beyond expectations.

This third-party AI assistant doesn’t just integrate seamlessly into Lark group chats—it also connects deeply with multi-dimensional tables. That means our team no longer needs to constantly switch between multiple systems. Viral elements extracted by AI can be automatically and precisely mapped into corresponding fields within the multi-dimensional table—via the intelligent work agent.

The technical anxiety triggered by “account gone” vanished instantly under this seamless flow. The immediate crisis was resolved—but the real heavy lifting had only just begun.

Cognitive Upgrade: The Industrial-Scale Deconstruction of Viral Videos

Once the account crisis was resolved, the team held an emergency post-mortem session that same night.

Colleagues were still shaken by the “account gone” incident—yet I posed a far more uncomfortable question:

“Do you truly believe those videos racking up tens of millions of views are born from directors’ gut instincts alone?”

Many content creators suffer because they’re still operating with the mystical, artisanal mindset of a “handmade workshop.” Let me be clear: The value of a viral hit has never resided in the video itself—but rather in its structure, pacing, and the repeatedly validated elements embedded within it.

Think of it like car manufacturing.

You don’t need to reinvent the wheel from scratch—you simply disassemble a top-tier sports car into standardized components. In content creation, that “component-level disassembly” *is* the core methodology.

We rigorously broke down a complex viral video into 18 standardized elements.

From the “golden three-second hook” to the “emotional reversal point,” from “BGM beat synchronization” to “comment-section engagement bait”—these 18 elements form the standardized parts on our content assembly line.

When you transform the abstract notions of “internet intuition” and “creative inspiration” into these 18 countable, fillable, and verifiable concrete fields, content creation ceases to be guesswork—and becomes a precise fill-in-the-blank exercise.

The third-party intelligent work agent chews up the video and spits out these 18 components; our job is simply to build the assembly line inside Lark—and snap each part into place with surgical precision.

So how exactly do you construct this digital assembly line? Next, let’s dive straight into hands-on implementation using Lark’s multi-dimensional tables.

Hands-On with Lark Multi-Dimensional Tables: Building Dual Databases for Viral Elements and Scripts

With theory covered, it’s time to roll up our sleeves and get to work.

Within Lark, the one tool capable of shouldering the responsibility of this digital assembly line is none other than the multi-dimensional table.

It’s not just a flashy online spreadsheet—it’s a lightweight, structured database with built-in data organization power.

Our approach is refreshingly straightforward: on a single multi-dimensional table foundation, we create two data tables—“Viral Elements Library” and “Generated Script Library.”

Let’s start with the Viral Elements Library.

We systematically convert the 18 standardized components identified earlier into 18 foundational fields: “Golden Three-Second Hook,” “Emotional Reversal Point,” “BGM Beat Synchronization,” and so on—all neatly lined up.

Here’s a hard-won lesson: Field names must be extremely concrete.

Avoid vague, meaningless labels like “Video Highlights”—AI won’t understand them, and you’ll struggle to fill them in yourself.

Next comes the Generated Script Library.

This table stores our team’s secondary creative outputs. Now, here’s the key question: How do we spark chemistry between these two libraries?

Through linked fields.

In the script library, we add a linked field that directly references the elements library. As a result, every new script can explicitly tag which viral elements it draws upon—eliminating data silos once and for all.

So who handles the most tedious, labor-intensive task—the actual “video deconstruction”?

We confidently assign it to the third-party intelligent work agent, integrated into the Lark ecosystem.

Daily operation is simple: drop a video link into this AI assistant, instructing it to “chew” the video according to the framework of those 18 elements. The structured components it outputs are then effortlessly fed back into the corresponding cells of the Viral Elements Library.

Humans set standards, establish links, and drive creative decisions; AI handles grunt work, component deconstruction, and table population.

Upholding this clear human–machine collaboration boundary is what prevents tools from overwhelming the team.

As the elements library grows richer and more comprehensive, you’ll suddenly realize—

Viral success has never been mysticism—it’s a ready-to-deploy arsenal, housed within your Lark tables.

Ecosystem Integration and Human–Machine Collaboration: Making the Elements Library Truly Flow

The arsenal is built—but then what?

If it sits quietly on someone’s laptop, it’s merely a “personal notebook”—not a “digital factory.”

The true game-changer is enabling these components to flow freely across the Lark ecosystem.

So how do we use it day-to-day?

When our tireless third-party intelligent work agent finishes processing a long-form video, it doesn’t silently dump the data into a table and clock out. Instead, it proactively @mentions me in a Lark instant message group: “Cookie Brother, all 18 viral elements have been fully deconstructed—please review.”

That feeling of being gently tapped on the shoulder by AI? Undeniably convenient.

Upon receiving the notification, I simply click the message in the group chat and jump straight into the multi-dimensional table. At this point, our scriptwriters take the stage.

They no longer need to toggle between multiple apps. They open a Lark document to draft scripts—and directly embed views of the multi-dimensional table within that document. On the left, they see the deconstructed viral elements; on the right, they write their shot-by-shot script.

This isn’t feature stacking—it’s seamless workflow integration.

Once the script is complete, the biggest fear is hearing the boss say, “Something feels off—rewrite it.”

So we added a safeguard: right inside the document, we initiate a Lark approval request. The editor receives the approval card on their mobile phone, glances at the outline, and taps “Approve.”

This seemingly simple action transforms “mystical creation” into “engineered delivery.”

When instant messaging handles notifications, documents host content, approvals enforce quality control, and multi-dimensional tables orchestrate resource allocation…

You’ll realize Lark is far more than just a spreadsheet or a chat window—it’s the unified collaboration foundation for the entire content team.

Only when data flows freely across the ecosystem can the elements library truly generate compounding returns.

Empowered Control: Bringing This Digital Factory Into Your Own Lark Workspace

The journey from “brainstorming topics on a whim” to “mass-producing viral hits on an assembly line” hinges on far more than inspiration.

It hinges on a digital factory capable of transforming inspiration into standardized components.

When we treat multi-dimensional tables as assembly lines, documents as quality assurance labs, and third-party intelligent work agents as tireless robotic arms—and watch data move autonomously and precisely across the Lark ecosystem—that sense of empowered control is genuinely grounding.

In the past, many promising team members burned out searching for assets or chasing status updates. Today, we’ve finally reclaimed that energy for genuine *creation*.

You might say: “Cookie Brother, this system sounds impressive—but I don’t know how to code!”

Hold on.

In Lark’s open ecosystem, understanding your business matters ten thousand times more than knowing code. You only need to nail down three things:

  • Map your business workflow and define those 18 core deconstruction elements;
  • Build your multi-dimensional table—laying out fields and views;
  • Integrate a third-party AI assistant to set data flowing automatically.

Everything else—Lark’s instant messaging, calendar, approvals, and other standard capabilities—will seamlessly stitch it all together.

Don’t just sit there admiring it.

Copy the prompt below and feed it directly to your third-party AI office tool—to replicate this demo in your own Lark workspace:

“You are now a senior content workflow architect. Please design a ‘Viral Elements Library’ based on a multi-dimensional table. Requirements: include 18 core deconstruction fields such as video category, emotional hook, visual spectacle, etc.; and generate a system prompt for a third-party intelligent work agent that enables it to automatically read blank rows in the table and—based on existing elements—generate logically coherent short-video script outlines. Output only the field definitions and the agent prompt.”

Go ahead—use it.

Build your very own content armory.

See you on Lark.