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AI Chat Agents
Most people who land on your site have one or two questions before they'd ever think about booking. If nobody's around to answer them, they just leave. A chat agent that actually knows your business can handle that part. It talks like a person, works out what someone needs from a couple of lines, and nudges them toward a call or a demo. It's there at 2am and on weekends too, which is usually when half your visitors show up anyway.
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An abstract system resolving into the Framer mark.
The resolve effect makes it feel like the mark is assembling itself in real time, satisfying to watch loop. Is this meant to live as a loading or intro moment on the actual site, or was it made purely as a standalone piece?
I built a workflow that turns a business website into a testable AI phone receptionist.
The system analyzes the website, extracts services, staff, opening hours, policies, and other relevant information, then creates an isolated voice-agent demo for that business. Instead of sending a generic recording, we can provide a real phone number that allows the business to test the agent through an actual call.
When the website or scheduling system supports an integration, the agent can check availability and book appointments during the call. Otherwise, it safely captures the caller’s details and preferred time for staff follow-up.
If a business decides to continue after the demo, the same foundation can be expanded into a production receptionist with databases, customer-specific business rules, calendar and CRM integrations, confirmations, call summaries, analytics, and administrative controls.
The extracted information can also reveal gaps in the business website. Its content and structure can then be improved so both visitors and the AI receptionist receive clearer, more reliable information.
The main lesson I share is that website extraction alone is not enough. Information must be normalized, validated, and restricted to the source material before it can be used safely in a live voice conversation.
The demonstration uses a fictional dental clinic and real recordings from my working voice-agent system. No patient data, real customer information, or invented testimonials are included.
I used Descript to assemble and refine the presentation, edit the narration and real-call sections, create captions, and prepare the final submission.
🚀 Built a WhatsApp Ordering & Customer Support Bot for E-commerce!
Instead of customers waiting for replies or manually processing every order, this automation handles the conversation from start to finish. 🤖
Here’s what the workflow does:
💬 Customer sends a message on WhatsApp
🧠 AI understands the customer’s request
📦 Helps with product/order-related queries
📝 Logs the conversation automatically
✅ Detects when an order is complete
📊 Saves the new order to Google Sheets
🔔 Notifies the business owner instantly
💬 Sends a response back to the customer
The goal is simple: faster customer support + smoother ordering + less manual work.
Built with n8n + AI + WhatsApp + Google Sheets.
This is just one example of how AI automation can help e-commerce businesses save time and handle more customers without increasing manual workload.
What would you automate first in an e-commerce business? 👇
#AIAutomation #n8n #WhatsAppAutomation #Ecommerce #CustomerSupport #Automation #AI #WorkflowAutomation #EcommerceAutomation
