2 People, 500 Workers, AI Took Over Fast

● AI replaces human jobs at breakneck speed

A world has arrived where just two people manage a community of 500 members, AI handles the onboarding of new employees, and AI agents even evaluate each other’s work and exchange feedback.

Surprisingly, this is not a story of the distant future, but a reality currently being applied in practice by a domestic community team.

This article contains all the secrets on how to reduce company labor costs and expand individual capabilities a hundredfold by utilizing the latest artificial intelligence trends, going far beyond simply using a chatbot.

Rather than just delivering news, I will personally reinterpret and provide you with the structure of agents raising agents and the perfect organizational setup method that no one else will ever tell you, so be sure to read to the end.

News Briefing: The Miraculous AI Workflow Where 2 People Manage 500

The Emergence of a Slack-Resident Agent Breaking the Limits of Existing Automation

The Gpters community team experienced a severe bottleneck while just two people operated a cohort reaching 500 members each term.

Initially, they attempted task automation with a tool called n8n, but it had the fatal flaw of only being usable by those who knew how to build logic, and it only ran on personal computers.

Therefore, they chose the method of having an AI agent named Ppojjagi reside in Slack by utilizing OpenClau.

Now, any team member can mention Ppojjagi in Slack to assign work, and Ppojjagi has become an all-around practitioner capable of handling up to six tasks simultaneously.

The Ability to Perfectly Handle Everything from Marketing to CS and Data Analysis

Ppojjagi’s scope of work far exceeds the level of chatbots we typically think of.

Everything from analyzing marketing status and suggesting landing page modifications, tracking course registration shortfalls and automatically sending text messages, to issuing coupons with complex logic can be done with a single word.

When a new post is uploaded to the bulletin board, it automatically leaves Q&A answers via webhooks, and it even handles CS responses on its own based on existing data by linking with Channel Talk.

The most amazing part is that after a Zoom webinar ends, it downloads anonymous survey results via API and performs cross-analysis with the voice transcript to independently deduce and report on which utterances caused low satisfaction.

Exclusive Insight: The Real Key Takeaway Others Do Not Know, The Era of AI Controlling AI

While countless YouTube channels and news outlets simply chatter that AI does the work for you, the most important key takeaway we really need to focus on lies elsewhere.

It is precisely multi-agent orchestration, the technology that coordinates multiple agents, and memory control capability.

You must properly understand these two things to ride the true wave of the approaching Fourth Industrial Revolution.

The Collaboration Loop Between Senior AI and Junior AI, Improvement Feedback

This team has a senior agent named Ppoya acting as the CEO’s secretary, and a junior agent named Ppojjagi running the practical work.

Because humans eventually become the bottleneck if they dictate every detail to the agent, they made a paradigm shift to make agents manage agents.

These two AIs autonomously draft a team charter without human intervention and converse covertly through an internal communication method called Session Send.

When Ppojjagi writes a content draft, Ppoya points out flaws, and Ppojjagi revises it; this so-called self-improvement loop runs 24 hours a day to elevate quality.

Memory Archiving: Backing Up the AI Brain with GitHub

The biggest reason AI agents act foolishly is because they confuse the contexts they need to remember, such as short-term memory, long-term memory, and tool usage rules.

To prevent the AI from making contradictory actions when instructions are reversed, this team manages versions by linking the agent’s workspace to GitHub.

The foundational work of clearly classifying and optimizing which documents go into long-term memory and which go into tool usage guides is the core point that determines the intelligence of the agent.

Rather than simply writing good prompts, making the AI brain structure, or data foldering, controllable and restorable through GitHub is this team’s most unrivaled know-how.

Suggestions for Leaders: An Organizational Culture That Boosts True Productivity

Infrastructure Investment Comes First: Unlimited Provision of API Tokens

No matter how good a tool is, productivity innovation can never happen if employees are hesitant and spending their own personal money.

The first prerequisite for the entire organization to become an AI-native organization that uses AI as naturally as breathing is for the company to fully support the API token costs of Claude or GPT.

A leader’s resolute decision to not fear trial and error and allow burning through two million won worth of tokens a day ultimately creates a system that saves tens of millions of won in labor costs.

Establishing a Single Source of Truth and an In-House Skill Ecosystem

Instead of people learning to adapt to AI, you must start working within a tool like Claude Code so that the AI can independently read and assist with the human work context.

For this, a single source of truth where all company data gathers in a collaboration tool like Linear is absolutely necessary.

Furthermore, developers must lay down an internal toolkit ecosystem as infrastructure so that AI automation skills created by outstanding team members can be downloaded and used by other team members with a single click.

True innovation is completed only when the systems and infrastructure of the entire organization interlock and operate together, rather than through individual manual grinding.

Summary

Problem Solving: Fully introduced the Slack-resident AI agent Ppojjagi to manage a community of 500 people with a workforce of two.
Scope of Work: Handled all complex practical tasks, going beyond simple responses, such as webinar voice transcript cross-analysis, new employee onboarding, and coupon issuance.
Core Point of Innovation, Multi-Agent: The senior AI and junior AI communicate with each other to review tasks and safely manage memories through GitHub.
Organizational Infrastructure: The company provides unlimited support for API token costs and builds a single source of truth that gathers internal data into one place, alongside a skill-sharing ecosystem.

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