Tutorial: Build a Reliable Node.js AI Workflow Using BullMQ, Redis, and OpenAI

A new tutorial from the Gate of AI series walks developers through building a production-ready Node.js service that handles AI-powered work-item processing. The system accepts authenticated webhooks, stores job data in PostgreSQL, and queues tasks asynchronously using BullMQ and Redis before calling OpenAI for classification. A dedicated background worker processes each job, validates the AI response using Zod, and saves results without blocking the main API. The architecture deliberately keeps PostgreSQL as the system of record and limits the LLM to bounded tasks like classification and summarisation. The guide also flags compliance considerations for organisations in the GCC region, including data residency, access control, and Arabic-language evaluation requirements.