When a demo takes shape quickly, it is tempting to assume the rest of the project is almost finished. But a generated screen does not establish what happens with real users, failures or a future handover. For someone commissioning an app, the useful question is what evidence the delivery includes.
What the sources say
As of 3 November 2026, two primary references help frame the discussion:
- DORA’s 2025 report describes AI as amplifying existing organizational strengths and weaknesses.
- GitHub’s responsible-use documentation calls for reviewing and testing generated code.
These references do not establish a universal price or delivery time for your app. Nor do they prove that a particular prototype is ready to launch.
Our analysis: look at the unproven behaviour
We draw a practical conclusion: evaluate a development service by the uncertainty it resolves, not by the volume of code it produces. AI can be part of the implementation; deciding what counts as correct still needs explicit requirements and verification.
Consider a fictional booking app. A confirmation screen leaves several questions open: what happens when two people request the last place, when a payment fails, or when someone opens another person’s booking? These are scenarios to define and test, not defects we have observed in a real product. A convincing demo and evidence of correct behaviour serve different purposes.
What a proposal should make visible
Ask for three concrete things:
- The included workflow, exclusions and unresolved assumptions.
- Acceptance scenarios, the environment in which they will be checked, and who reviews the results.
- Source code, documentation and clearly allocated deployment and maintenance responsibilities.
Compare proposals against the same scope. A smaller feature list can be appropriate; missing verification should not be mistaken for equivalent delivery. No fixed saving follows merely from using AI.
Already have an AI-built prototype?
The free tool below can organize what is known and what remains to check. It does not inspect a private repository or certify security. Correct its assumptions before using the output to discuss a diagnostic.
For an existing project, TurboV1’s completion service starts with a scoped diagnostic before development is quoted. Bring the prototype description and its unanswered questions to request an estimate. The next decision is a defined piece of work with evidence to review, rather than a promise based on the demo alone.