DevelopmentCustomer support
Armor-Dilloz Support Lab

I've answered a lot of questions about sealant and riding products. Support Lab is a private prototype where I turn that experience into software and try the conversations before any customer sees them. The product knowledge is mine, and so are the application rules and the way the model turns that knowledge into a reply.
Questions arrive half-finished
Someone asks how much sealant to use and doesn't mention what's already in the tire. Another rider knows their board but not its tire dimensions. A worried customer paraphrases a tracking message instead of quoting it.
That's normal conversation. People give you the part they think matters, and a good reply helps fill in the rest without turning the exchange into a form.
Test cases I keep coming back to
In the lab I can ask a customer-style question, follow up and correct a detail, and the earlier facts stay available for the next answer. A few situations make especially good tests.
A plain "yes" should answer the question the person just saw, and not some other question the software had in mind. If someone corrects the type of tire, every later piece of advice should reflect the correction. A shipping question has to deal with the fact that a label can exist before the carrier has the package, then explain what information would settle it.
A warm tone only helps if the guidance underneath fits the tire and circumstances the person described.
Sealed off from the store
Support Lab runs on test situations. It doesn't look up real orders, issue refunds or arrange replacements, which leaves me free to study the conversation without it turning into a customer transaction.
The review tools let me rate a specific reply, note what would have helped and come back to it later, which beats a vague sense that a conversation went well or badly. The chat itself has quick questions and a compact input, and it can be minimized and reopened without losing the exchange.
I supplied product expertise and shaped the conversations, application rules and AI integration.









