Checks and Balances Among the Smart, and Breaking Through with Agile Organizations
The smartest people in a company are often doing the dumbest things.
After visiting numerous leading tech enterprises, this conclusion has become increasingly clear. When you pack a conference room full of elite graduates from top universities—impressive resumes in hand—they’re rarely changing the world. Instead, they spend two hours debating the hierarchical formatting of a PowerPoint presentation.
The greatest internal drain on an organization has never been mediocrity in leadership—but rather, intelligent people checking and balancing each other.
Under traditional hierarchical structures, the cost of reaching consensus is absurdly high. Aligning around even a minor business objective requires creating group chats, scheduling meetings, and waiting for approvals. Information bounces around in departmental silos, while energy is entirely consumed by “proving I’m working.” This sluggish inertia is slowly sapping the enterprise’s vitality.
To break through, we must deploy extreme agility to dismantle that inertia.
This is precisely why more and more engineering teams are adopting Lark as their foundational collaboration platform. What they value isn’t flashy gimmicks—but seamless, commonsense-level integration of capabilities. In Lark, instant messaging, documents, calendars, video conferencing, and approval workflows are no longer fragmented tools; instead, they function like organs connected to the same nervous system. After a meeting ends, you can instantly create a task in the document—and calendar events automatically launch video conferences.
Let information flow like water—not pile up like bricks.
Once information becomes transparent, organizational “fat” is squeezed out. There’s no need to chase colleagues across the company asking, “Where’s the file?” Nor must you hold meaningless alignment meetings just to sync progress. Lark’s agile infrastructure has literally pulled knowledge workers out of the mire of inefficient collaboration.
But this is only the first step. With the foundation laid and bandwidth unleashed, new challenges inevitably arise: now that people have been liberated from mechanical coordination, who will handle the tasks demanding massive computational power?
The answer lies in intelligent work Agents—increasingly integrating into the Lark ecosystem.
Turning Intelligence into Utilities: Lark’s Agent Experiment
Many people use AI as if it were a separate, sacred portal requiring pilgrimage.
They open a new window, copy-paste prompts, and feed business-critical data—carefully anonymized—to the model. That’s not embracing technology—it’s deliberately manufacturing friction.
True intelligence should be as accessible as water, electricity, or gas—simply turn the tap, and it flows.
Lark’s open ecosystem is running an experiment to transform intelligence into infrastructure. As third-party intelligent work Agents and AI-powered office tools integrate deeply with Lark’s underlying logic, change happens subtly and organically.
The most immediate experience? You never need to leave your current context.
While typing in a Lark document, you can effortlessly summon a third-party AI assistant to polish a dry business report right within that paragraph. Facing dense sales leads in a multi-dimensional table, you can directly invoke an intelligent work Agent to generate quick, actionable insights—right beside the table itself.
No disruptive context-switching. No cumbersome system toggling.
AI must not be an information island—it must grow inside the veins of business workflows.
At its core, this experience reflects how Lark, via open APIs, delivers raw computational power straight to the fingertips of knowledge workers. Documents, multi-dimensional tables, and instant messaging—these commonsense collaboration foundations—are now capillaries through which AI reaches business operations.
When computing power is no longer scarce and tools are fully in place, a more pressing question lands squarely on every employee:
If machines take over all calculation and execution, what is the human purpose?
Demystifying Engineers and Salespeople: Core Value Is No Longer About Logging Hours
Too many knowledge workers have long been trapped in “hour worship.”
Engineers secretly compete over lines of code written; salespeople proudly point to nested, 15-layer formulas in multi-dimensional tables. We once mistakenly believed that piling up execution details *was* professionalism itself.
Now, that logic has shattered.
When Lark’s documents, multi-dimensional tables, and instant messaging deeply integrate with various intelligent work Agents, dashboards once built manually overnight—and business processes painstakingly debugged over days—can now be set up in seconds using precise, natural-language instructions.
Time spent on basic execution has been drastically compressed.
If writing code and configuring workflows are no longer barriers, then what is?
The definition of top talent is undergoing a complete reshuffle.
Today’s core competitive advantage no longer lies in how many lines of code you’ve typed—or how many nodes you’ve configured—but in who can most敏锐ly detect business pain points, and who can pose the single, most incisive question to the model.
Machines exhaust possibilities. Humans define meaning.
The shift—from “executor” to “orchestrator”—is not merely a tool upgrade. It’s a fundamental redefinition of individual value. “Tool people,” mechanically fulfilling requirements without insight, face marginalization. Meanwhile, “super individuals”—those fluent in both business and models—are rapidly emerging within the Lark ecosystem.
Yet as human efficiency pushes toward its limits, another question surfaces:
Where does the time saved by increased efficiency actually go?
Does it become breathing room for employees—or get filled with yet more meaningless KPIs? How companies distribute the dividends of technology ultimately tests their organizational conscience.
Intelligence for All—or a Tool of Class Division? A Sober Look at Organizational Evolution
In conversations with numerous founders, one sharp question always arises:
“Is AI eliminating class divisions—or creating new digital privileges?”
This is no baseless worry. When an employee adept at using intelligent work Agents completes last week’s business review in ten minutes, those still manually stitching together data face more than poor performance ratings—they face existential crisis. The efficiency gap between AI-savvy users and non-users is often exponential.
If such capability resides only with a select few technical elites or senior managers, AI becomes a tool for entrenching internal hierarchies. Once technological dividends are monopolized by a handful of nodes, ordinary employees’ sense of presence further diminishes.
This is precisely the organizational inertia Lark’s ecosystem has consistently sought to disrupt.
Lark’s solution is direct: turn intelligence into utilities. Rather than locking AI behind complex, engineer-only backends, Lark opens access broadly—through the most commonsense office interfaces: instant messaging, documents, multi-dimensional tables, and calendars—enabling seamless integration for third-party AI assistants and intelligent work Agents.
No coding required. No mastery of intricate integration protocols needed.
A frontline salesperson can summon an AI assistant directly in a chat window to summarize customer pain points. An HR professional can ask an AI office tool—within a document—to help structure interview feedback. This pervasive accessibility, in essence, drives a movement toward “intelligence equity.”
Empowering employees across every business line to access computational power with minimal friction.
When tools stop imposing barriers, privilege naturally dissolves. A sober reflection on technological evolution must ultimately return to concern for *people*. Introducing AI is meant to liberate everyone from complexity—not to carve an unbridgeable digital chasm inside the office.
Machines Handle Calculations; Humans Handle Romance and Meaning
The awe inspired by technology has an ever-shortening shelf life.
As AI office tools compress tedious desk work to its absolute minimum, a simple truth emerges: Those who’ve never stumbled in the mud—who’ve never experienced real business pain points firsthand—will never develop genuine sensitivity to the system.
AI can generate the skeleton of a multi-dimensional table in one second—but the industry insights filling it must come from your hard-earned, frontline experience.
Within the digital space built by Lark, no matter how intelligent the tools become, they remain just the foundation.
Instant messages carry subtle emotional nuance. Video conferences foster team trust. And at the end of every approval workflow stands a real person bearing real responsibility.
Machines can explore every possible computational path.
Only humans decide where we’re going.
When organizational inertia collides with a technological singularity, we talk about restructuring, about human efficiency, about teams breaking conventions with Lark and intelligent work Agents. Yet all technological evolution must ultimately land on concrete individuals.
Lark provides a sufficiently inclusive ecosystem—enabling diverse third-party AI assistants to plug in, interact, and flow. But that is only the beginning.
It cannot replace the flash of insight you have during a late-night retrospective. Nor can it replicate the shared smile among teammates after a heated, hour-long debate—scheduled on the calendar—about how to win a tough battle.
AI handles efficiency. Humans create meaning.
In this era of rapid transformation, staying grounded in concern for individuals—and maintaining reverence for technology—is essential.
Use it. Master it. Then—transcend it.
That may well be our most grounded choice in the age of intelligence.