Currently, when the AI Receptionist (AIR) presents a specific option to a caller (such as offering to send a self-scheduling link via SMS), a standalone, single-word negative response like "No" or "Nope" defaults to a global platform-level reset.

Because the LLM interprets a flat "No" as a closure of the active branch based on language probabilities, it clears the active intent memory and completely restarts the interaction by asking the root prompt, "Is there anything else I can help you with?" or "How can I help you?"

We request a feature enhancement that gives administrators true deterministic control over binary responses. AIR needs an explicit "post-decline handoff rule" or a dedicated negative branch handle in the UI, allowing us to strictly map where a "Yes" or "No" goes without being overridden by global LLM resets.

Use Case / Example:

The Scenario: A patient calls a medical clinic to schedule an appointment.

AIR Prompt: AIR recognizes the scheduling intent and asks: "Would you prefer a text message with a booking link to schedule this yourself, or would you like to speak directly with our scheduling team?"

Caller Response: "No." (Meaning: No to the text link, I want to stay on the line.)

Current Broken Behavior: AIR resets completely, erases the scheduling intent, and says, "How can I help you?" This forces the customer into a frustrating loop where they must restate their entire request.

Desired Behavior: AIR recognizes the "No" within the active context, retains the primary scheduling intent, and automatically triggers a handoff rule to route the call directly to the live scheduling queue.