A voice companion prompt can be edited in seconds. That does not make it a harmless change.
A small wording adjustment can alter how the companion handles hesitation, recovery, or uncertainty. If the prompt changes during an active conversation, two consecutive turns may follow different instructions even though the user never changed sessions.
That creates an uncomfortable engineering tension: AI makes iteration faster, but faster editing does not remove the need for release discipline. The durable skill is not writing the cleverest prompt. It is deciding which behavior can be suggested by a prompt, which behavior must be enforced by application code, and how a human approves the change.
In this tutorial, we will build a local TypeScript prompt-release service for a Tencent RTC Conversational AI voice companion. It will:
represent prompt lifecycle state explicitly;
