Chapter 1: Stop Doing Arithmetic—Collaboration Is the Real Priority
By Henry, from “A Fei Si.”
Stop obsessing over making AI do arithmetic—collaboration is where the real work lies.
Right now, office workers using AI for daily tasks often feel like they’re opening mystery boxes. You feed in a prompt, then anxiously wait for AI to spit out a batch of seemingly profound—but ultimately generic and unactionable—text. Then you spend hours manually editing it yourself. Is that really “using AI”? No—it’s more like being a cybernetic babysitter for AI.
Going solo with “gacha-style” AI use feels exhilarating at first. But as soon as you step into team-based workflows, everything falls apart. You craft an astonishingly brilliant proposal using a third-party AI assistant, drop it into your group chat—and a colleague casually replies, “Wait, aren’t these figures off?”—leaving you speechless. No matter how fast AI generates output, if it can’t pass the test of team collaboration, human workers will inevitably need to step in and clean up the mess.
At its core, the endgame of AI-powered office work isn’t about whose model runs fastest. The truly savvy users are already asking how to embed AI directly into authentic, team-based collaborative workflows.
Shifting perspective—from “solo, self-contained productivity” to “team-driven co-creation”—immediately opens up new possibilities. Lark’s built-in Docs, Multi-dimensional Tables, Instant Messaging, and Calendar provide precisely the foundational capabilities needed to support this shift. Treat third-party intelligent work agents integrated into the Lark ecosystem as personal assistants—and ensure their outputs genuinely circulate and deliver value across your team. That’s how seasoned professionals operate.
Don’t worship AI blindly—it’s not here to think *for* you. As for bridging those “detail-control gaps”? We’ll unpack that in the next chapter.
Chapter 2: From “Mystery Boxes” to “Targeted Tuning”—Who Really Understands the Pain of Collaborative Editing?
If you’ve used AI for office work, you’ve probably experienced that “EKG-style” blood-pressure spike:
In Round One, you ask a third-party AI assistant to draft a campaign framework—logical, punchy, full of quotable lines. It feels like magic. Then in Round Two, you ask it to “increase the projected figures in Section Two by 20%.” And—boom—it completely rewrites the entire document’s structure.
This isn’t editing. It’s dancing through a minefield.
Once you enter real-world team collaboration, “loss of control over details” becomes outright catastrophic. You’re editing copy while your colleague tweaks data; multiple people simultaneously edit the same document—and before long, version chaos ensues to the point where even your own mother wouldn’t recognize the final file. Things just… break. If you’ve been there, you know exactly what we mean.
It’s like giving feedback on a design mockup: You simply ask the designer to nudge the logo two pixels to the left—and they go ahead and delete your entire main visual layer.
So the true pain point of AI-powered office work isn’t *whether* AI can generate content—it’s about *localized editing* and *multi-round consistency*.
Evolution from aimless “gacha-style” prompting to precise, “targeted tuning”—where you direct AI exactly where and how to adjust—is the essential step to integrating AI meaningfully into real workflows.
How do we bridge these gaps? Don’t panic—this is exactly where Lark’s foundational architecture shines.
Lark Docs and Multi-dimensional Tables were built for collaboration from day one. Integrate third-party intelligent work agents into them: let AI perform “targeted tuning” directly inside Docs, and conduct “data isolation” within Multi-dimensional Tables. AI operates only within clearly defined boundaries—while humans retain full oversight of the overarching structure.
That way, AI’s output stops being a “ticking time bomb” that disrupts collaboration—and instead becomes the most obedient, responsive personal assistant in your team’s workflow. Exactly how to make this powerful combination run smoothly? We’ll break it down in the next chapter.
Chapter 3: Docs and Multi-Dimensional Tables as Foundations—Let Third-Party AI Assistants Become Your Personal Assistant
As noted in the previous chapter: Don’t let AI flail around randomly—give it clear boundaries. Where do those boundaries come from? Lark Docs and Multi-dimensional Tables are the ideal “workstations.”
First, Lark Docs. When drafting proposals, nothing’s worse than staring at a blank screen. Now, simply summon a third-party AI assistant—integrated via Lark’s ecosystem—directly inside the Doc to help you build the initial skeleton.
Here’s the key part: targeted revision. AI-generated first drafts often carry a distinct “machine tone.” Resist the urge to scrap them entirely. Instead, manually highlight the awkward paragraph in your Doc—and instantly instruct the AI assistant to “rewrite this in more relatable language,” or “tighten up the logic here.”
It’s like giving feedback on a design mockup: point to exactly what needs changing—no collateral damage.
Humans control the framework; AI fills in the substance. That’s authentic human–AI collaboration.
Now, data handling. What’s every office worker’s worst nightmare? Staring at a chaotic pile of raw, unprocessed data at month-end—until your hairline starts receding.
That’s where Lark Multi-dimensional Tables come in. Dump all that unwashed data straight into the table—and call in your intelligent work agent to serve as “data janitor.” Let it extract key information, apply classification tags, or distill lengthy user feedback into one concise sentence.
AI works strictly within its assigned cells; humans review and validate from outside the table. Thanks to Multi-dimensional Tables’ native structural discipline, AI’s “hallucinations” get firmly grounded. Even if AI occasionally spouts nonsense, it stays confined to a single cell—never jeopardizing the integrity of your entire table.
Treat Docs as your canvas, Multi-dimensional Tables as your abacus—and third-party AI assistants become your on-demand personal assistant.
But once the assistant finishes its work, how do you ensure smooth, seamless circulation of its output across the team? Surely you’re not planning to just shout links into group chats? In the next chapter, we’ll explore how Instant Messaging and Calendar turn this AI-powered workflow into reality.
Chapter 4: Instant Messaging and Calendar—Making AI Outputs Flow Seamlessly Across Your Team
Your AI assistant has diligently completed its work inside Docs and Multi-dimensional Tables—and produced some excellent results. So what’s next? You certainly shouldn’t just paste screenshots into group chats and expect everyone to guess what’s going on—that’s far too primitive.
The professional approach is this: After fine-tuning details with your intelligent work agent inside the Doc, simply paste the Doc link directly into your Lark Instant Messaging group—and tag your manager and relevant colleagues. The message card auto-generates a rich preview, so teammates can click right in and continue reading seamlessly. Once you’ve experienced this fluidity, there’s no going back.
Just sharing a link isn’t enough for major projects—you’ll need to schedule a meeting. Open Lark Calendar, create a review session, and attach the data dashboard generated in your Multi-dimensional Table directly to the meeting materials. When the time arrives, everyone joins the video call—and sees the dashboard instantly, ready for discussion. No more wasted time saying, “Could you please share your screen?”
Let’s be clear: There’s no mysticism here—just two simple clicks by everyday office workers. AI handles the heavy lifting in the background; Lark connects people and information front-and-center.
That’s true collaborative workflow. AI isn’t for show—it’s for getting things done. And Lark is far more than just a chat window—it’s the conveyor belt that delivers AI’s output into real-world action. When crude, unpredictable AI “mystery boxes” evolve into finely tuned, team-wide collaboration, you’ll realize: This job? It might not be so hard after all.
Chapter 5: AI Doesn’t Think For You—It Helps You Refine the Details
At the end of the day, the biggest risk of using AI for office work today is falling into the “cyber-gacha” trap.
Expecting a third-party AI assistant to magically generate a perfect, ready-to-deploy solution with one click? Wake up—that’s fortune-telling, not office work. The right way to use AI is to treat it like a tireless intern who occasionally lacks judgment. It churns out drafts and computational power; you guide it through “targeted tuning” within Lark’s collaborative environment.
Watch how it unfolds: line-by-line annotation and polishing inside Docs; iterative manipulation of data dimensions inside Multi-dimensional Tables; spontaneous brainstorming sparks in Lark Instant Messaging groups; and finally, decisive alignment in a video meeting. Lark lays down the collaborative infrastructure; third-party AI assistants supply the initial ammunition—but the person sitting in front of the screen—the living, breathing office worker—is always the one pulling the trigger and relentlessly refining the details.
Moving from blind, “gacha-style” prompting to precise, “targeted tuning” is the ultimate secret to embedding AI into authentic workflows. We neither deify AGI nor dismiss today’s tools—we maintain a pragmatic, hacker-like clarity: AI doesn’t need to solve every arithmetic problem. Its real value lies in helping office workers untangle messy, tedious, labor-intensive tasks—so we can finally pause, sip our coffee, and focus on genuine creativity. Isn’t that better than anything else?
That wraps up today’s “AI Collaboration Survival Guide.” Have you had any jaw-dropping moments of brilliance—or heart-stopping disasters—while combining AI with collaborative tools?
Don’t hold back—share them in the comments. We’ll keep the conversation going next time.
By Henry, from “A Fei Si.”