Data exploration and analysis tool for non-programmers operating in continuous loops. Mixes different models with varied capabilities, token costs, and context windows per task. Maintains conversation memory, builds dynamic prompts using Pinecone vector DB context, breaks down codified responses into step-by-step algorithms, generates and debugs Python code for analysis/modeling/plotting with auto-correction, ranks answers, requests user feedback, and builds knowledge-base from rankings.