Building AI agent for our own company (blog.leanmcp.com)

In response to the inaccuracies often seen in general-purpose language models like ChatGPT, a team at LeanMCP developed their own AI agent specifically designed to accurately answer questions about their platform. Built in just two hours, this custom agent leverages LeanMCP’s internal documentation, blog posts, and changelogs to provide precise, cited responses tailored to the nuances of their product. Unlike ChatGPT, which may give vague or incorrect answers about technical implementation, the new agent assesses user queries more effectively and delivers relevant code snippets and explanations, achieving zero errors across a comprehensive benchmark of 130 questions. This initiative highlights a significant trend in the AI/ML community, as companies move towards creating specialized AI solutions that integrate their unique knowledge bases, rather than relying on generic models. The success of LeanMCP's internal tool serves as a model for other organizations to develop their bespoke AI agents, enabling enhanced customer support and more effective use of internal resources. It emphasizes the importance of embedding domain-specific knowledge within AI systems, paving the way for more reliable and efficient technological applications in various sectors.