Practical agent training

How to train an AI agent with your own knowledge

Turn documents, examples, corrections and decisions into files an agent can inspect, cite and carry into its next project.

01

Start with one agent, not a fleet

Give the learner a clear training mode before assigning a job. Add real knowledge in small, inspectable files instead of hiding everything inside one enormous prompt.

02

Process before you trust

Let the agent inspect the new material as a set. Conflicts, missing authority and unclear exceptions should become questions rather than invented answers.

03

Approve durable memory

Teacher explanations become visible memory and proposed rules. Only reviewed files become active; generated work remains a draft until a human approves it.

The practical rule

Good agent training is a reviewable file history—not a forgotten chat.