AI agents are being explored as intermediaries to simplify human interaction with databases by analyzing and converting natural language into structured database queries. This is achieved through the use of a powerful language model, GPT-4, in an experiment built using Ruby. The results showed the potential power of using AI as a "middle-man" between humans and databases. PostgreSQL is being used as long-term memory for AI agents to reduce costs and improve performance by storing interactions, results, and other relevant data in a flexible and robust relational database system. TimescaleDB is also mentioned as a tool that supercharges PostgreSQL for analytics, events, and time series workloads, allowing developers to scale their databases further while enjoying the best developer experience and cost-effectiveness. The community is invited to join the discussion on combining AI with databases like PostgreSQL and explore new possibilities.