Willie Lin | Smart Manufacturing, Agentic AI & Decision Intelligence

How Agent AI works？Models, Tools, Knowledge, and Evaluation

This diagram shows a simple view of how Agent AI works.

Agent AI is not just a single AI model. It works by combining Models, Tools, and Knowledge, and then improving through Evaluation.

1. Models: Understand and Predict

Models are like the brain of Agent AI. They help the system analyze data, detect problems, predict outcomes, and suggest possible actions.

2. Tools: Connect and Act

Tools allow Agent AI to connect with real systems, such as MES, ERP, IoT sensors, databases, and other software. Through tools, Agent AI can get real-time data and support action.

3. Knowledge: Guide the Decision

Knowledge includes SOPs, rules, historical data, and business context. It helps Agent AI make safer, more reliable, and more practical decisions.

4. Evaluation: Learn and Improve

After a decision or action is made, Evaluation checks the results, such as accuracy, safety, cost, and execution outcomes. This feedback helps Agent AI improve its next decision.