Capture leads on WhatsApp and save them to Sheets
An n8n WhatsApp agent asks leads for their name and email and automatically saves them to Google Sheets, shown in a demo.
Built an agent that answers product and pricing questions, handles follow-ups, gives payment details, notifies admins of payment proof and hands off to humans via a dashboard.
Built an agent that answers product and pricing questions, handles follow-ups, gives payment details, notifies admins of payment proof and hands off to humans via a dashboard.
After a discovery call on the business, products, and customer flow, the developer built a 24/7 AI agent given access to product details, pricing, and payment info. The agent answered questions, handled follow-ups and repeated queries, walked customers through payments by supplying details, notified admins on receiving payment proof screenshots, and requested order details after confirmation. Staff used a dashboard to monitor chats, step in for defects/refunds/unknowns, take over, and hand back to the agent.
The source describes the system build and handoff flow but states no results, metrics, or shortfalls.
Build a customer support workflow for [my business] that answers questions about products and pricing from this info: [paste product and price list or FAQ link]. It should handle follow-up questions, share payment details [payment instructions] when a customer is ready, and notify [admin contact] when someone sends proof of payment. If it can't answer or the customer asks for a person, hand off to a human with the conversation attached. Test it with five sample questions and show me the results before connecting it to real customers.
An n8n WhatsApp agent asks leads for their name and email and automatically saves them to Google Sheets, shown in a demo.
An n8n agent handles customer WhatsApp messages, searches info, checks the calendar, logs to Sheets or Notion, and replies by WhatsApp and email.
A Lindy agent researches YouTube ideas and scripts, and another emails a brief on discovery-call contacts 10 minutes before meetings; complex content stayed on Make.