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Built an AI-powered orthopedic healthcare assistant that helps patients describe symptoms, receive general orthopedic guidance, and book appointments through a natural conversational interface. The application combines a Next.js frontend with a FastAPI backend, AI-powered chat, streaming responses, RAG-ready architecture, and appointment scheduling integration. Designed with healthcare safety in mind, it includes structured patient intake, emergency symptom detection, and a scalable architecture that can be extended to WhatsApp, clinic CRMs, and other healthcare platforms.
The network for creativity
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Connect with clients, get discovered, and run your business 100% commission-free
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How do you keep one tenant's support email out of another customer's inbox?
Resend's inbound webhooks hand you a parsed message, but threading and routing stay yours. I keyed it off a per-tenant inbound address and stitched replies with In-Reply-To. Attachments needed their own path.
Amazing! 👏
Every n8n workflow has the same shape.
Three parts. Every single time.
Trigger → Processing → Action
That's it. Let me break it down in plain English:
Trigger
→ This is what starts the whole thing — a phone call ends, a form gets submitted, an email lands in your inbox.
→ Nothing runs until the trigger fires. It's the domino that tips everything else.
Processing
→ This is the middle — where the workflow reads the data, makes decisions, and branches based on conditions.
→ "If the caller wants to book, go this way. If they want to cancel, go that way." Logic. Rules. No guessing.
Action
→ This is the outcome — log the CRM, send the confirmation email, book the calendar slot, send a confirmation SMS.
→ This is the part the business actually sees. Everything before it exists just to make this happen correctly.
Here's a real one from my own work:
AI receptionist takes a call → n8n reads what the caller needed, checks which service they asked about, confirms the appointment details → books the slot in Google Calendar and sends the client a confirmation SMS.
No human touching it. No appointment falling through the cracks.
That's what n8n does. It takes the conversation and turns it into a business outcome.
The AI talks. n8n does the work.
Follow @krittiyaclark — I document every build.
The Trigger-Processing-Action framing is useful for explaining this to clients who don't think in workflow terms. Makes it concrete fast.
Designed a login screen for "Aether" an AI-powered observability SaaS.
Character art generated with Gemini, composed in Figma.
Which version do you prefer?
7 voted
64%
4 voted
36%
11 votes
Closed
I prefer the light version this time
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