How to Build Reliable AI Systems—Without a Billion Dollar Budget

Most teams building GenAI today are running into the same wall: it’s easy to get a model working—but keeping it working reliably, at scale, is another story.

Case in point: OpenAI outages. Even with world-class researchers, a partnership with Microsoft, and racks of GPUs, OpenAI still goes down.

So, where does that leave startups? Internal AI teams? Lean infra orgs trying to ship fast—without setting their production environments on fire?

Good news: You don’t need a billion-dollar budget to build a system that scales. But you do need to plan for scale before it shows up.

Today I'll walk through actionable frameworks for both engineers and managers to create scalable GenAI systems.

Let’s break it down.