Here's a fun and energetic video showing PLYGT's new AI chatbot capabilities.Here's a fun and energetic video showing PLYGT's new AI chatbot capabilities.
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Her patients were ready to book. Her phone just couldn't keep up.
Meet Dietitian Pradeepa. She runs her own clinic in Coimbatore, South India, with 19+ years in practice. She is a real client, and she is my own dietitian.
The problem in one line: every booking took a chain of WhatsApp messages, Instagram DMs and missed calls, so enquiries went cold, patients forgot to come, and one day off meant calling everyone herself.
So I built Milo in @Lovable . He is her AI clinic assistant, named after her dog 🐾
For patients (the front door)
→ One booking link. Pick a consultation, pick a slot, confirmed in under a minute.
→ WhatsApp confirmation straight away, a reminder the day before, and a follow-up after the visit.
For Pradeepa (the follow-through)
→ She asks Milo, in the app or on WhatsApp: "What are my appointments tomorrow?"
→ She says "I'm not available tomorrow" and Milo moves all five patients and tells each one.
→ Bookings, earnings and no-shows in one place.
I built it for a contest. Now it runs her clinic: it is live on her own domain and real patients book through it ❤️
Small update: the last screenshot above is from an earlier version, when the assistant was still called Sana. After Pradeepa's feedback it became Milo, named after her dog 🐾.
Here is the current home screen, the same one you see in the demo video and on the live app.
A text chatbot can take three seconds to reply and nobody minds. A voice agent can't. Leave a caller in silence for a beat too long and they say "hello?", start talking over it, or hang up.
That one fact shaped everything we built on Talk-Lee, an AI voice agent that answers business calls for healthcare, real estate and finance teams. Scheduling, support, lead qualification, around the clock.
The goal was a reply in under 500ms. You don't get there with a faster model. You get there by making sure nothing waits for anything else.
→ Speech to text streams while the caller is still talking
→ An LLM and intent layer keeps track of what they actually want
→ Text to speech streams back, so the agent starts talking before the whole answer is ready
→ An orchestrator decides in real time whether to answer, book or hand off to a person
Then it has to do something useful. It books into Calendly, logs the lead in HubSpot, and passes the hard calls to a human with the context already attached.
Where it landed. Under 500ms responses, 1,000+ concurrent calls, 30+ languages, GDPR and TCPA compliant.
Third project in a row with the same lesson. The model is the easy part. The plumbing around it decides whether anyone keeps using it.
AI Lead Inbox + Mini CRM for Service Businesses
Most small businesses don't have a lead problem. They have a follow-up problem.
A customer messages on WhatsApp at 11 PM asking for a price. Nobody replies until the next afternoon. By then, they've booked somewhere else.
So I designed an AI Lead Inbox + Mini CRM for clinics, salons, real estate agents and any business that runs on DMs.
WHAT IT DOES
✅ AI replies in seconds, 24/7, using the business's own services and price list
✅ WhatsApp, Instagram and website leads in one inbox
✅ A simple pipeline: New → Contacted → Quote sent → Booked
✅ One-tap follow-up reminders before a lead goes cold
✅ Owner dashboard with weekly numbers
WHY IT WORKS
The AI never makes up prices. It answers only from the business's real data, collects the customer's name and number, and books the slot. The owner just checks the dashboard.
This builds on my Henna by Sakina booking app (Lovable Challenge entry), which already runs AI quotes, bookings, a pipeline and one-tap WhatsApp follow-ups for a real business in Lahore.
The video is a concept demo with sample data.
Want this for your business? Send me a message and I'll walk you through a live demo.
Instant AI replies keep the conversation alive while the one tap reminders stop leads from going cold. Having all WhatsApp, Instagram and web leads in one view makes the daily hustle feel lighter.