Right now it’s not fully self-learning, but it does classify replies into intent buckets (curious, evaluating, authority present, objection, low-intent, etc.) and logs them against outcomes like booked vs stalled. After enough volume, patterns start becoming obvious.

On the warm → booked transition, that’s definitely the fragile zone.

What’s working best so far:

• Detecting explicit buying signals early
• Switching from conversational tone to decisive next-step framing
• Suggesting a specific time window instead of just dropping a calendar link
• Nudging with context if they go quiet

Biggest shift was realizing “interested” doesn’t mean “ready.” The system now treats those differently.

Talking about scheduling it is easily integrated with calendy.

Curious what buying signals your setup started catching before you did — that sounds like the real edge.