Specify each field's accepted values, rejection rules and server-side expectations before generating a form. Otherwise, an AI builder may fill business-rule gaps with plausible behaviour that your team never approved.
Separate input convenience from acceptance
Practical editorial advice: distinguish what helps someone type from what the application ultimately accepts. A placeholder, keyboard preference or visual required marker does not define the complete contract.
For Indian readers building enquiry forms, decide whether the service supports only domestic contact details or international applicants too. Do not infer that scope from the audience's location. Similarly, distinguish a numeric-looking identifier from a quantity that should support arithmetic.
Ask only for fields needed for the workflow. Use synthetic values during specification and review; do not paste real enquiries into an AI prompt.
Write a field-contract worksheet
For each field, record:
- Purpose: why the workflow needs it.
- Requiredness: always required, optional or conditionally required.
- Accepted input: type, length, permitted values and whitespace handling.
- Cross-field rule: dependencies on another answer.
- Server expectation: the same acceptance rule applied at the trusted processing boundary.
- Error wording: what went wrong and how to fix it.
- Evidence: test input, expected result and observed result.
Also specify whether a rejected submission preserves other entered values. Decide who reviews collected-data access and retention questions; this is a review prompt, not legal advice.
Hypothetical workshop registration
Suppose a fictional Pune workshop accepts a name, attendance mode and optional accessibility request. The requirement owner chooses a trimmed name length of 1–80 characters, attendance values of online or in_person, and an optional request limited to 500 characters. These are example business rules, not universal standards.
Concrete cases include a name containing only spaces, an 80-character name, an 81-character name and an attendance value of remote. Expected results are rejection, acceptance, rejection and rejection respectively.
For an invalid attendance value, use wording such as “Choose online or in-person attendance.” Evaluate both an ordinary form submission and a synthetic request that bypasses the interface. The processing boundary should reject the same disallowed value under this specification.
Set a validation release gate
Stop if the interface rejects an input that the processing boundary accepts, or if error wording leaves the user unable to recover. Next, reconcile the contract and repeat the affected cases.
Lovable documents projects as app-level containers including code, preview and version history; this does not establish automatic validation. If comparing access, check the coding catalog for access format and saved terms before buying. Marketplace account/code/token offers are not proof of official subscription equivalence.
Sources and scope
Source material checked 29 October 2026; features/policies may change. Lovable project overview establishes project structure and contents. Field contracts, server expectations and workshop cases are editorial acceptance requirements, not documented automatic Lovable features.