Technically, nothing is stopping you. But the pragmatic GetDevDone’s experience in AI engineering shows that what looks “done” at the prototype level usually breaks at the production level. AI-generated outputs from tools like Lovable, Bolt, v0, or the like often lack structured CMS logic, clean code organization, backend completeness, and production-grade QA.
GetDevDone audits what you have, defines what’s reusable vs. what needs rebuilding, and translates it into a production-ready implementation in the needed stack, so you don’t carry hidden launch risk into deployment.
GetDevDone integrates directly into agency workflows: ticket-based systems, sprint cycles, Git collaboration, and CI/CD pipelines, so there’s no process re-invention or added PM overhead.
AI prototypes we deliver are built inside the client’s required stack from the start, which minimizes rework and smooths out the transition from prototype to production.
AI projects happen to fail when the scope is vague, and experimentation is uncontrolled. GetDevDone structures delivery into clear phases: prototype validation, scoped build, production rollout, so you can estimate accurately, control risk, and avoid endless “R&D bleed” that kills profitability.
