The text discusses a multi-expert problem involving green energy companies, where data is fetched from Wiki API, last month dates are extracted from the calendar, and share prices are retrieved from a database. The largest increase in share prices is then computed by a calculator before being formatted by a language model. It also mentions challenges in implementing multi-expert reinforcement learning (MRKL) systems, such as training discrete experts, interfacing with neural networks, and routing among modules. Additionally, it highlights the advantages of Jurassic-X, including its ability to read and update databases using free language, enabling users to interact with their data in natural language.