How to design an Agent for Production

The Rubric Labs team built an AI-driven email assistant, Cal.ai, using LangChain technology. The purpose of the project was to simplify calendar management by enabling users to perform CRUD operations within their email client through natural language interaction. An OpenAI functions agent was used for this task, which is better at dealing with structured data. The architecture involved an input stage where emails were cleaned and verified, followed by an agent loop that processed the user's request using a combination of tools and a chat model. Finally, the executor generated a response that was emailed to the user. This project demonstrated the power of AI agents with scoped tools in tackling natural language problems involving structured data.