Implementation 01
Rebuild it with n8n →
An explicit validation rule inside the workflow. Suitable if you want to follow the data flow in detail and are prepared to read some JavaScript.
Tools & Workflows · Hands-on track 01
From request to task. With a result you can check.
One request arrives twice, another is missing its email address. What becomes a task, and what does someone have to check by hand? For small service businesses, we walk through this case with n8n and Make: accept valid input, hold back duplicate IDs within the test batch and keep errors visible.
What you need to rebuild it: a technically responsible person who can read some JavaScript, and a separate test environment. The n8n trial was run locally; Make remains a hand-written blueprint until it has been imported into the cloud and run through a complete test.
Language of the download: this English edition links to the same test pack as the German one. Its documentation and synthetic test data are in German, and the file names are unchanged. The workflow logic does not depend on the language.
- 01RequestSynthetic input
- 02CheckRequired fields & duplicate
- 03ResultTask or error record
Start with the problem, not the subscription.
The package is for learning and testing. It sends no customer messages and does not connect to your mailbox or task system. You first see how the workflow behaves when something goes wrong. Only then do you decide whether a real connection makes sense.
If only a few requests come in, a well-kept task list may be the better solution. If the tool you already use supports required fields and unique case numbers, use that first.
Implementation 02
Follow it in Make →
The same business case as a visual scenario. The blueprint and the cloud test that is still required are described separately.
Before real use
- Try the error cases: incomplete, duplicate, unexpected input.
- Work out time and upkeep: including a result that argues against automation.
- Read about evidence and funding: find out what the trials actually show.
A successful sample run proves neither sustained operation nor the safe handling of real customer data. For both, you need a suitable connection, permissions, retention rules and someone responsible for reading the error list.
