Teaching AI Agents Like Students (Blog + Open source tool)
Published:Dec 23, 2025 20:43
•1 min read
•r/mlops
Analysis
The article introduces a novel approach to training AI agents, drawing a parallel to human education. It highlights the limitations of traditional methods and proposes an interactive, iterative learning process. The author provides an open-source tool, Socratic, to demonstrate the effectiveness of this approach. The article is concise and includes links to further resources.
Key Takeaways
- •The article proposes a new method for training AI agents, inspired by human education.
- •The method involves interactive, iterative learning through expert-agent chats.
- •An open-source tool, Socratic, is provided to demonstrate the approach.
- •The approach aims to improve accuracy by building a continuously improving knowledge base.
Reference
“Vertical AI agents often struggle because domain knowledge is tacit and hard to encode via static system prompts or raw document retrieval. What if we instead treat agents like students: human experts teach them through iterative, interactive chats, while the agent distills rules, definitions, and heuristics into a continuously improving knowledge base.”