Four prompts were enough for Grok Build and Grok 4.6 to generate, train, test and deploy a production-ready coffee wait-time prediction project, ending with a live FastAPI endpoint.
3,000 synthetic orders were created for the workflow; after cleaning, 2,986 rows remained, showing average waits near 10.5 minutes, rush hour adding about 3.3 minutes, and staff load correlating 0.68 with wait time.
598 holdout orders were used to compare Linear Regression, Random Forest and Gradient Boosting, with Gradient Boosting winning at 1.101 MAE, 1.408 RMSE and 0.934 R² before being saved as a reusable pipeline.
Three FastAPI endpoints — root, health and predict — were built and validated, then deployed to FastAPI Cloud, where a live test returned a 13.06-minute wait estimate for a sample latte order.
xAI positions Grok 4.6 as a frontier coding and agentic model that powers its Grok Build terminal tool, which the guide presents as capable of handling long, multi-step development workflows with minimal intervention.