Use case · Support
Reads the ticket, looks up the answer in your docs, drafts the reply. You approve in one tap.
Get your first task done freeAnswers based on your real product, not generic AI hallucinations.
Escalates anything sensitive, refund-related, or new straight to you with full context.
Replies sound like the founder, not like a chatbot. Customers can't tell the difference.
You spend five minutes a day on support instead of an hour.
Customer support is the work that grows linearly with users and never gets easier. Every new sign-up adds a marginal probability of a ticket. The ticket is rarely hard — it's almost always something covered in the docs — but it eats the founder's mornings just the same.
An AI worker for support replies catches the easy ninety percent. It reads each ticket, finds the answer in your docs, and drafts a reply in your voice. You approve in a single tap. The ten percent that requires real judgment — refund decisions, new edge cases, angry customers — gets escalated to you with the full context already loaded.
This isn't about replacing the human touch in support. It's about making sure the human touch lands on the conversations that actually need it, instead of being spread thin across "where do I find my API key."