// CUSTOM APPS
How do you ship an AI-built MVP without a rewrite?
Most AI-built MVPs get rewritten inside a year, and the rewrite costs more than the original build did. You ship an AI-built MVP without a rewrite by making a handful of early decisions deliberately instead of accepting the defaults, because the rewrites are not random, they trace back to specific choices made at the start. The first trap is letting the model pick your stack for you: it reaches for what it knows, which is fine until scale or integration pushes past that stack's comfort zone, and then you are rebuilding. The fix costs minutes of upfront thought. It helps to tighten what MVP even means. Not "the simplest thing we can ship," but the simplest version that learns something real about whether the product works. Fast shipping is in service of fast learning, and an MVP that ships quick but validates nothing is the same as no MVP at all. The decisions that lock you into a rewrite and the ones that preserve a real growth path are knowable in advance, and the discipline is cheap at MVP stage. It is just usually skipped, because nobody knew which decisions mattered until the rewrite arrived. The same instinct that keeps a website from needing a restart applies here, only the surface area is larger and the failure modes are more expensive. If you are shipping product and can feel the scale wall coming, this cluster is how to build the first version so it is also the version you grow with.
// the problem
// the method
// the proof
// the service path
// signal
// related topics
- // AI WEBSITESWhat's the right way to build a website with AI that survives production?
- // AI AUTOMATIONWhat is AI business automation, and why does it keep breaking?
- // AI PROJECT RESCUEHow do you fix an AI-built app instead of rebuilding it?
- // SPEC-FIRST METHODOLOGYWhat is spec-first AI orchestration?