AI-generated app not saving data: distinguish local state from durable storage

A worked example: where the task becomes difficult

A fictional project manager adds a task and sees a green confirmation. After refreshing, the task disappears because the handler only changed component state. Another version sends a request but ignores a denied database response. Use one fake task with a distinctive reference and identify the last stage confirmed. Do not create a new database merely because the generated interface lacks a complete save path.

Decisions to make before implementation

Choose whether data is intentionally session-local, device-local or account-synced. Those are valid but different contracts. Durable account data needs an authorized receiving operation, a storage acknowledgement and a consistent read path. Specify conflict and retry behavior for updates. An optimistic interface should distinguish pending and failed saves rather than presenting every local mutation as final.

A practical sequence for the work

Use the sequence below as a task boundary, not as a claim that the example has been executed. Work with approved inputs and the project’s actual architecture. If a required integration or permission is unavailable, keep that stage visibly incomplete rather than generating a plausible substitute result.

• Create one controlled record and inspect the write request and response.
• Check authorization and the actual storage operation without dumping private tables.
• Reload through the normal read path and compare the saved identity and fields.
• Implement explicit pending, saved and failed states with a safe retry.

A detailed brief you can adapt for your agent

Replace the illustrative context with your approved facts and controlled inputs. Keep the stated boundaries when adapting the brief. The expected deliverable matters more than a particular tool name: ask for an explanation grounded in the inspected material and evidence for the requested outcome.

Trace task creation from handler to storage and subsequent read. Identify whether current behavior is session-local or account-durable. Use one controlled record and inspect the receiving result. Implement honest save states and duplicate-aware retry. Preserve existing data architecture and authorization; do not report success from a failed write.

Failure modes that an attractive preview can hide

Using browser storage can make a demo survive reload but still fail across devices or accounts. Label that contract honestly. A second trap is a catch block that returns success after a rejected write. Preserve error evidence and input, and avoid retrying record creation without a duplicate strategy when the first response is uncertain.

Technical references: Chrome: console features reference

Acceptance checks and the evidence to retain

Provide the persistence contract, write/read ownership and evidence after a fresh load. Separate local prototype behavior from verified durable account storage.

Specific answers

Common questions