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Case study · Business software for clinics and restaurants

SmartyCalls

An AI front desk and operations system for clinics, restaurants and shops — sold to businesses and managed from one control panel.

Live Onboarding first clients
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The problem

Small clinics and restaurants miss calls, double-book, lose paper records and stop working when the internet or power goes out.

What I built

  • AI receptionist that answers calls, books appointments and tells the caller their token number; for restaurants, takes phone orders and reads the whole order back before it's placed
  • CarePoint for clinics: patients, appointments and tokens, visits and printed prescriptions, a waiting-room queue screen, pediatric growth and vaccination tracking, dental charts
  • OrderPoint for restaurants, cafés, bakeries and shops: menu, fast counter (POS), kitchen screens, tables, delivery and riders, stock and recipes, online ordering
  • Ledger: bills, payments, refunds, day close and reports
  • Front desk and counter keep working offline and sync automatically when the internet returns
  • Control Tower: my private admin panel to manage clients, modules, plans, usage limits, invoices and payments
  • Nightly encrypted backups

How it's built

One multi-client app where each business is fully isolated. Built on top of the Growth Intel Lab (GIL) calling engine, adding business modules, billing and an offline-first front desk.

  • Raven AI
  • IndexedDB (offline)
  • React 19
  • Node.js
  • TanStack Start
  • MariaDB
  • Hostinger

My role · Designed, built, deployed and maintained solo with AI-assisted development (Claude Code).

Proof

  • Live at smartycalls.com
  • 3,162 automated checks passing across the whole system
  • Client-to-client data isolation tested across 617 API routes with no leaks

Screenshots

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