Yitian Xu's Space

I read a few articles about how to use AI Agents, significantly boosting efficiency and shifting from a "time-for-money" model to "algorithmic leverage."

Core Concepts

1. Agentization is Mandatory, Not Optional

The traditional "time-for-money" model hits a hard ceiling. Agentization decouples income from hours worked, basing it on system efficiency instead.

2. The Three-Layer Architecture of Business Deconstruction

**Layer 1: Knowledge Base (Memory)** - The Agent's memory system. Includes historical data, real-time news/metrics, and personal experience logs.

**Layer 2: Skills (Decision Frameworks)** - Making implicit decision logic explicit. Converting personal judgment criteria into reproducible systems.

**Layer 3: CRON (Automation)** - The execution layer. Scheduled tasks automatically handle data collection, analysis generation, and preliminary decision suggestions, leaving the human to make only the final critical decisions.

Practical Use Cases

Investment Research Agent

Automatically processes massive amounts of financial news, earnings reports, and macro data to output daily strategies.

Content Production Agent

Built a "Viral Content Knowledge Base"

AI assists with topic selection, data gathering, and drafting (structure/first draft/multiple title variations)

The human focuses on injecting unique viewpoints and case studies

The Agent handles final distribution across platforms

Future Outlook: AaaS (Agent as a Service)

The shift from SaaS (Selling Tools) to AaaS (Selling Results).

In the future, everyone can own their own "algorithmic leverage" via Agentization—low cost, scalable, and evolutionary.

Actionable Steps

Diagnose

List daily tasks and categorize them into:

**Repetitive** → Agentize

**Judgment-based** → Human-AI Collaboration

**Execution** → Automate

Build

Start with a Minimum Viable Scenario (e.g., a "Daily Summary Agent").

Optimize

Regularly review and adjust the Agent's skill standards.

Commercialize

Consider turning a mature Agent system into a product or service.

Conclusion

The key insight is shifting from a passive "worker" mindset to an active "system builder" mindset. Use AI Agents to build a personal productivity operating system that works for you around the clock.

The question isn't whether to adopt AI Agents—it's how quickly you can build your first one.