Conversational Bot Projects
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Hardikkumar Vinzava Top 1% Framer Creator
pro
Contactly : WhatsApp and Facebook Business Connect Framer Plugin
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79
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Anastasia Kavzovich
AI-Powered Networking Bot for Conference Attendees
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18
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Ana Catita
pro
Assistant Concept_Climate Guardians
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26
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Harshavardhan Surisetty
AI-Powered FAQ Widget
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33
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Khadijah (Dija) 💥
pro
I didn’t expect this to be this easy! 🤯 I was able to create, train, and deploy an AI Agent in under 5 minutes using @Chatbase I plugged it into a website I built a while ago, followed a quick step-by-step guide, and boom — 👉 a live AI assistant answering questions 👉 engaging visitors 👉 actually useful from day one This is the most basic setup possible. If AI on your site felt “too complex” before… yeah, that excuse is gone. Can’t wait to build custom AI agents with this. 💥
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425
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Ankit S
Production-ready Microsoft Teams Bots or Apps
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5
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Sparsh Gupta
pro
Building a Slack Bot Using Python
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9
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Muhammad Usman
pro
Nexus Health AI Telehealth Mobile Application
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14
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Muhammad Tahir A
pro
Custom Knowledge AI Chatbot for Website Lead Generation.
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65
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Vikas Raj Yadav
pro
Conversational User Experience for the Loop Health (YC20)
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9
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Ebere Wilson
Health Insurance Chatbot: providing outstanding user experience
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102
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Nauman Khan
pro
WhatsApp to Pipedrive Lead Automation
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9
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SYED ALI
pro
An AI hotel receptionist designed to handle guest calls around the clock, including room bookings, availability checks, property-specific FAQs, and guest requests. The voice layer was structured to work across Vapi and Retell, making it easy to switch providers without rebuilding the core system. n8n workflows were used for CRM updates, PMS webhook handling, multi-step conversations, objection handling, and voicemail fallback.
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Ibrahim Zia
Switch nodes + Redis nodes are underrated when building chatbots. In my opinion, these two are some of the most useful nodes for building solid chatbot logic in n8n. 🔀 Switch nodes → help route conversations based on intent, conditions, user type, or previous messages. ⚡ Redis nodes → help maintain conversation state, store temporary data, and give the bot memory across messages. Together, they make it much easier to build chatbots that go beyond simple “if this, then that” workflows. What do you think? Which n8n node do you find most useful when building chatbot logic? 👇
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Comfort Peluola
This was a more complex build. The system receives incoming data through a webhook, stores the context in a Data Store so it remembers what's been said, then runs it through OpenAI (ChatGPT) to generate an intelligent response. Depending on what comes back, it takes one of two paths either responds directly through the webhook, or triggers additional HTTP calls and a second AI pass before replying. The result is a bot that doesn't just react to messages, it actually thinks about them first before responding. Built entirely in Make, no extra infrastructure needed.
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Ahmar Arif
🚀 New Skill Unlocked: Lead Generation Chatbots! I just completed the Create a Lead Generation Messenger Chatbot using Chatfuel certification on Coursera! 🎯 Automated messaging is one of the most effective ways to capture leads, answer customer FAQs instantly, and convert traffic into sales 24/7. #Chatbots #LeadGeneration #DigitalMarketing #Chatfuel #Automation
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