The Panel

Panel is an agentic workspace for data-science experiments. Instead of one AI writing cells, four specialized Claude agents — an Implementer, Interpreter, Tagger, and Archivist — run your experiment together as a sequential jury. The Implementer plans and writes code, a Jupyter kernel executes it, the Interpreter reviews the output and flags methodological risks (leakage, collinearity, temporal splits), the Tagger classifies each step against an 8-tag vocabulary, and the Archivist decides what's worth committing to a persistent knowledge base. Every action is appended to a structured deliberation.jsonl event log. The web UI streams it live; finishing produces a shareable URL where anyone can open the experiment three weeks later and understand not just what happened, but why — the hypotheses tested, alternatives rejected, and pitfalls caught. Copilot writes cells; W&B tracks metrics; Panel captures the reasoning around them.