WordPress 
A demonstration proves that a particular action worked under particular conditions. A test plan asks which other conditions matter to the people who will use the software. That distinction is especially useful when an AI assistant can generate a working interface before the product’s rules are fully understood.
Consider a customer portal that accepts document uploads. Selecting a small PDF and seeing a success message covers one path. It says little about unauthorized access, interrupted uploads, duplicate submissions, or a storage service that is temporarily unavailable.
Start with the customer promise
List the outcomes the release promises. For the portal, a customer should upload a supported file, find it later, and keep it private from other customers. Administrators should see only the documents their role permits. A failed upload should leave the user with an understandable next step.
Turn each promise into checks with expected results. Include a fresh account, an existing account, and an account without the required permission. Use synthetic documents that can be safely inspected and deleted.
Combine different kinds of tests
Small tests can verify file-name handling, size limits, and validation rules. Integration tests can check how the application coordinates permissions, the database, and storage. Browser tests can confirm that the user can complete the workflow through visible controls.
The Playwright best-practices guide recommends testing user-visible behavior and isolating tests. Those principles help keep browser checks focused on outcomes such as finding the uploaded document, instead of fragile assumptions about an internal function or incidental markup.
Use a small number of end-to-end checks for critical journeys and narrower checks for detailed rules. A large suite that repeats implementation details can miss the same misunderstanding as the implementation itself.
Choose meaningful boundary cases
Check a file at the permitted size limit and one above it. Try an unsupported type and a misleading extension. Submit twice, cancel, and retry after a simulated network failure. Verify that a user cannot retrieve a document by guessing its identifier.
For a payment workflow, use the provider’s supported test environment and documented test events. For email, use a controlled test mailbox or capture mechanism. Do not use real customers or production charges merely to prove that a button works.
Test the released artifact and supported environments
Install the actual package in a clean environment rather than testing only a developer checkout. Run the documented first-use steps. Where the product promises particular browsers, runtimes, or platform versions, verify them and record which combinations were checked.
Inspect mobile layouts, keyboard use, validation messages, and light and dark themes when supported. Automated checks and human inspection answer different questions; use both where the interface warrants it.
Keep failures useful
- Record the environment, input, expected behavior, and observed result.
- Save a minimal reproduction without exposing private data.
- Add a regression check when a meaningful bug is fixed.
- Make test data independent and clean up after runs.
- Recheck the affected workflow after changing the fix.
Read the security checklist for AI-built software for additional trust-boundary checks. A release is easier to support when the team knows which behaviors it has verified and which limits it has deliberately documented.