Forecasting isn’t just about numbers, it’s about making the future understandable and actionable. TimeCopilot (https://timecopilot.dev/) is an open-source Python agent that combines large language models with time-series foundation models to automate, explain, and interact with forecasts. In this talk, I’ll share how we orchestrate Python-based agent workflows with tools like PydanticAI and Hugging Face to bridge the gap between statistical accuracy and human-friendly insights. We’ll walk through real examples, lessons learned from building for the open-source community, and how agentic systems can make forecasting more accessible to everyone.