Nathan Romano

A 24/7 English/Spanish AI receptionist for local businesses that transcribes the call, books the appointment with tool calls, and pushes toward a closed deal, on four Meta models. Local service businesses (HVAC, dental, clinics) lose high-value leads to missed calls, slow replies, and Spanish-speaking callers nobody can serve after hours. AutoAI Lead answers the call: Muse Voice Transcribe turns the caller's audio into a transcript (English/Spanish language bias), Muse Spark 1.3 checks calendar slots and calls `book_appointment`, then returns strict JSON-schema output (urgency, language, booked slot, estimated ticket value, caller reply, WhatsApp alert for the owner). The receptionist replies by voice. Beyond booking, a closer flow handles a price objection, offers a bundle, and prepares a deposit checkout. In the current demo that objection/checkout step is scripted and the $49 deposit is simulated, with no real payment. SAM 3.1 segments the business photo zero-shot (our own parser decodes the one-bit masks into SVG overlays) and Muse Image 1.0 generates the on-brand hero for the business's demo site. Demo businesses: Lone Star AC & Heating (Austin) and Smile Dental (Miami), in English and Spanish. Live demo: https://meta.autoailead.com