A model that works on launch day doesn't stay working for free. Real data shifts, dependencies get deprecated, and every AI system carries a specific kind of ongoing technical debt that a one-time build quote almost never includes.
Most feature requests that get pitched as 'we need AI for this' don't need AI at all — they need a rule, a better default, or a cleaner workflow. Here's how to tell the difference before you build the wrong thing.
A wrapper calls a foundation model's API and adds a UI on top. A real system has to survive the foundation model changing its price, its rate limits, or its own feature set overnight. Here's how to tell which one you're paying for.
Vibe coding vendor lock-in problems come from three sources: platforms that never generate portable code, official export paths that quietly don't include the data that matters, and the platform itself disappearing. Here's what's actually documented, and how to check your own exposure.
Vibe-coded MVPs break at scale for three specific, well-documented reasons: they buckle under real traffic, they ship with insecure defaults that expose user data, and they become unmaintainable as the team grows. Here's the evidence, and what actually fixes it.