AI-Powered Content Generation in Laravel: A Practical Guide with OpenAI and Queues

You've probably seen the demos — a button click, a spinner, and then a fully formed blog post appears. But how does that actually work in a production Laravel app? Not the happy-path tutorial version, but the real thing: with queued jobs, streaming responses, rate limiting, and token cost awareness. That's what this article covers. Why Build This in Laravel? Laravel's ecosystem makes it surprisingly well-suited for AI content pipelines. You get queues for async processing, events for real-time feedback, caching for expensive API calls, and Eloquent for storing generation history. Pair that with OpenAI's API, and you have a solid foundation without reaching for a separate microservice. Let's build a practical content generation feature — one that could power a blog draft tool, product description generator, or internal documentation assistant. Setting Up the OpenAI Client Start by pulling in the official OpenAI PHP client: composer require openai-php/client Create a dedicated service cl