A plumber I worked with last month was routing 40% of his after-hours calls straight

A plumber I worked with last month was routing 40% of his after-hours calls straightA plumber I worked with last month was routing 40% of his after-hours calls straight

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Jonathan Guez

• 14h

A plumber I worked with last month was routing 40% of his after-hours calls straight to voicemail. Almost no one left a message — they just dialed the next name on Google.

For a service business, a missed call isn't a missed message. It's a paying job walking to a competitor while you're under a sink.

We built him an AI Voice Agent in 7 days. Vapi runs the live conversation, a Make scenario drops every caller into his CRM, and confirmed bookings land in his calendar with an automatic text. His existing number just got smarter — no new app to learn.

Three weeks in: every call answered, 9 extra jobs booked, and about 6 hours a week back that he used to burn on phone tag.

The trap nobody warns you about — the greeting. A generic "How can I help you?" opener kills trust in the first 3 seconds. We scripted his agent to name the business and the service up front, and pickup-to-booking rates climbed fast.

Same SmarterSaaS playbook I run for any SMB that lives and dies by the phone — medical offices, garages, salons, contractors.

If you're losing calls every week, I set this up end to end in 7 days on Contra → https://contra.com/s/MvkBFgEA-ai-voice-agent-for-sm-bs-setup-in-7-days

Jonathan Guez

• 2d

A plumbing shop owner showed me his phone log: 31 missed calls in one week, all during jobs where he couldn't pick up. At an average ticket of $280, that's roughly $8.7K in work he never even knew knocked.

Most small service businesses lose the customer the second a call hits voicemail — around 80% of callers hang up and dial the next name on the list.

I built him a Voice AI Receptionist over a weekend, the same core setup I run under SmarterSaaS. Retell handles the conversation, a Make scenario logs every caller into his CRM, and qualified leads get a text-back with a link to his scheduling tool. It answers in under two rings, 24/7, and sounds like a real front desk.

First 30 days: every call answered, 19 booked jobs that would have gone straight to voicemail, and roughly $5K in recovered revenue.

The trap nobody mentions — the greeting script. A generic 'How can I help you?' kills trust in the first second; naming the business and the service in the opening line is what keeps callers from hanging up.

If you run a small business that lives and dies by the phone (trades, clinics, salons), I set up your Voice AI Receptionist for a flat $200 on Contra → https://contra.com/s/BkrBkgYE-voice-ai-receptionist

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Voice AI Receptionist by Jonathan Guez

Read more about Voice AI Receptionist by Jonathan Guez on Contra.

Lifa Yende

• 1d

This is the live call log from NowNow AI's production system — an AI client coordinator I built for South African medical and dental practices. When a patient calls, an AI voice agent answers in under 2 seconds, handles the enquiry, books the appointment, captures medical aid details, and logs everything into a structured database in real time. Every row you see here represents a call that would otherwise have gone to voicemail or been lost entirely — after-hours, lunch breaks, double-bookings on reception. The stack runs on Retell AI for voice, Make.com for orchestration, and Google Sheets as the live data layer, with WhatsApp follow-up firing automatically post-call so patients never get ghosted. Built end-to-end as a solo developer: voice agent prompting, automation pipeline, data architecture, and the client-facing dashboard.

Full Stack Development Make Google Sheets Retell Ai Business Workflow Automation AI Agent Orchestrator

Lifa Yende

• 1d

This is the live client-facing dashboard I built for NowNow AI — the system South African dental and medical practices use to see their AI client coordinator at work. Each practice gets a personalised view: total enquiries handled, bookings made, conversion rate, and after-hours calls caught (the calls that would have gone to voicemail and been lost forever). The WhatsApp tab shown here surfaces every text-based enquiry, with the AI agent that handles the full conversation — answering questions, qualifying the patient, and booking the appointment autonomously, with the booking pushed straight to the practice's schedule. The example here shows a real booked cleaning appointment captured end-to-end on WhatsApp. Built solo as a single-file deployment: front-end dashboard, Cloudflare Worker backend with KV-stored conversation memory, Make.com automation pipeline, and Meta WhatsApp Business API integration.