This is a really clear step-by-step guide!

I especially like how it breaks down the forecasting setup with time columns, horizon, and identifiers—it makes getting started a lot less intimidating. Curious though: has anyone tried comparing the performance of the serverless AutoML approach here against custom notebooks (e.g., Prophet or ARIMA) for real-world datasets? Would love to hear experiences on accuracy vs. ease of use.