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Developed an AI customer support agent using n8n that answers questions by retrieving information from companies knowledge bases. The system connects to Gemini as the LLM and pinecone as the vector database to enable RAG. The chat bot understands queries, searches stored company data and provides accurate responses in real time
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Meet Octo 🐙 — AI Chatbot Mascot Design
the personality-packed AI chatbot mascot with three core behavior states. From chilling on standby to juggling tasks like a pro, and alerting users with charm — Octo turns every interaction into a delightful experience. Designed to solve the cold, robotic feel of traditional chatbot UI. 🐙✨
🐙 Stand By
When idle, Octo AI gently bobs in a looping animation, blinking softly and occasionally curling a tentacle. After a few seconds of inactivity, a small speech bubble appears with a friendly nudge like "I'm here whenever you're ready!" — waiting patiently until the user engages.
⚡ Multitasking
Octo springs to life with all tentacles in motion, juggling task bubbles with wide, focused eyes. This solves user anxiety during loading — instead of a cold spinner, Octo shows "I'm working hard on this for you."
⚠️ Warning
Octo shifts into alert mode — one tentacle raised, eyes sharp, with a warm orange glow. This solves robotic error messages by giving warnings a friendly face that says "Hey, something needs your attention!"
Super impressive work
Took part in the Descript “Teach Us Something” challenge and honestly… I had no idea what I was doing at first 😂
I’d never made something like this in my life, so this is literally my first attempt at creating a video like this.
I learned a lot while making it, especially about turning an idea into an actual story instead of just keeping it in my head.
Would love to know what you guys think 👀
Be honest. How did I do for a first attempt?
🚀 Excited to share my latest project: An Autonomous WhatsApp AI Sales Agent integrated with a Full-Stack Algerian COD (Cash-on-Delivery) Management System!
Handling customer orders manually over WhatsApp is one of the biggest bottlenecks for e-commerce sellers in North Africa. I built an end-to-end solution that automates the entire sales funnel from customer inquiry to confirmed shipment.
💡 Key Highlights & Engineering Features:
• 🎙️ Natural Voice & Text Processing: Handles Algerian Darija, French, and Arabic via realistic Speech-to-Text & Claude AI tool-calling.
• 🚚 Accurate 58 Wilayas Shipping Engine: Automatically calculates home delivery vs. Stop Desk (desk pickup) fees and estimated delivery times.
• 🔄 Zero-Manual-Entry Kanban Sync: Converts closed WhatsApp chats into live orders in real-time.
• 📦 1-Click WhatsApp Tracking: Generates tracking numbers & dynamic carrier dispatch alerts directly from the Kanban board.
• 📊 AI Analytics Dashboard: Live metrics tracking sales conversion rate, automated revenue, and escalation rates.
• 🌐 Full Multi-Language & RTL/LTR: Seamless switching between English and Arabic.
🛠️ Tech Stack: React 19, TypeScript, Tailwind CSS, Supabase (PostgreSQL + Edge Functions), Claude Haiku 4.5 Tool Use, Twilio WhatsApp API, Vercel.
🔗 Live Interactive Demo:
👉 https://cod-manager-eight.vercel.app/conversations
Feel free to try the live WhatsApp Simulator (with Darija voice presets) directly in the browser! Open to new freelance projects & full-stack AI engineering opportunities.
Super impressive work