A polished AI-generated website can hide an unfinished delivery model. The hard question is not whether a builder can produce a convincing page. It is whether the next person can safely change the real system without reconstructing the original prompt, platform state, and deployment assumptions. Three kinds of change Separate visual, content, and system work before deciding where the boundary belongs. Visual: spacing, colors, layout, and imagery. Keep these in the canvas or component styles while the team is exploring. Content: pricing, articles, case studies, and localized copy. Give these stable fields, a CMS, or a clear editing path. System: authentication, data relationships, payments, permissions, and integrations. These need code, environments, tests, and a release path. The boundary should move when a failure affects real users, orders, or data responsibility. Starting to write code should not turn every copy edit into an engineering ticket, but production behavior needs an explicit owner and a reversible change path. Test the handoff Hand the project to someone who was not present for the initial generation. Ask them to update one product field, add a protected page, rotate a secret, change a domain, and roll back a release. If every step depends on an old prompt or the original builder, the system has already accumulated avoidable risk. Document the minimum before the handoff: Area Minimum record Verification question Environment Repository, runtime, configuration Can the next owner run it locally or in staging? Data and secrets Storage, secrets, permissions Who can read, export, rotate, or delete them? Auth and payments Providers, callbacks, test accounts Who handles an expired credential or failed callback? Content Fields, editing path, publishing permissions Can an operator change content without page code? Release Live version, checks, rollback owner How do we confirm the expected version is public? The code boundary is about responsibility AI-assisted projects often lose decisions between requirements, product, design, development, and operations. A useful handoff artifact can stay short: current goal, explicit non-goals, data model, external dependencies, acceptance checks, release path, and the first things the next owner should inspect. The format matters less than preserving which decisions are settled and which are still assumptions. Full-stack generation is useful when auth, admin work, payments, multilingual structure, SEO, and deployment need a path that can continue. A team can move quickly first, then make the boundary explicit when the project actually needs it instead of rebuilding a polished prototype from scratch. We0.ai is included here as a workflow example. Its public capability pages describe full-stack generation, multi-agent coordination, and domain delivery. This is not a claim that a product removes the need for architecture, testing, release ownership, rankings, traffic, AI citations, approval, or commercial outcomes. When a builder is enough For a one-day campaign page, a value-proposition test, or a visual exploration with no accounts or user data, staying in the builder is reasonable. Once the site owns real accounts, real orders, real content responsibility, or a release rhythm, “we will migrate later” is a risky default. Ask one deliberately unglamorous question: who will change the real thing three months from now without the original builder’s help? If the answer is unclear, the missing work may be a handoff boundary that lets the project keep working.