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AI WhatsApp Support Assistant (n8n Automation Demo)
Problem: Small businesses lose customers when WhatsApp messages sit unanswered, leads get buried in chats, and complaints are noticed too late.
What I built: An AI assistant that reads every incoming WhatsApp message and prepares a reply, while the owner stays in control.
Writes a reply draft from the business’s own info sheet. Nothing is sent until the owner approves it by email.
Captures real leads (name, interest, budget) into a Google Sheet.
Saves orders and appointment requests with a draft confirmation.
Alerts the owner on Discord for complaints and “talk to a human” requests.
Transcribes voice notes and handles them like text messages.
Alerts the owner to reply manually when someone sends an image or sticker.
Posts a daily 9 PM summary of the day’s conversations to Discord.
Role: Nisbah Iqbal, AI Automation Builder
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Related posts
An AI customer support chatbot for a fictional Nigerian food delivery business, Lagos Fresh Kitchen. It runs on n8n Cloud and uses Claude Haiku 5.5 as the AI model. The workflow is three nodes: a chat trigger receives the customer’s message, an AI Agent processes it, and the Anthropic Chat Model writes the answer.
How it behaves
The AI Agent has a system message that sets the rules. It must answer only from the business information, never invent prices, areas, hours or policies, and use a fixed fallback line when the answer isn’t there: “I don’t have enough information to answer that accurately. Please contact our support team.”
The business information it knows
Open Monday to Saturday, 9 AM to 8 PM, closed Sundays
Delivers to Lagos Mainland (Ikeja, Yaba, Surulere, Maryland, Ojota, Gbagada) and Island areas (Victoria Island, Ikoyi, Lekki), not outside Lagos
Delivery takes 30 to 60 minutes, with fees from ₦1,000
Menu of jollof rice, fried rice, rice and stew, pounded yam with egusi, grilled chicken, suya and soft drinks
Payments by card, transfer and cash on delivery
Cancellation allowed before cooking starts
No Sunday orders or Sunday delivery, and no event catering
Refunds, complaints and order status go to support
good work
AI-Powered Social Media Content Creation & Publishing Automation | n8n
Project Overview
I built an AI-powered social media automation workflow using n8n that transforms a simple content idea into a ready-to-publish social media post, with human approval at every publishing stage.
The goal was to simplify content creation and help businesses maintain a consistent social media presence while reducing manual effort.
Workflow Features
Idea submission through a simple form
AI-powered social media post generation
Email-based content approval
AI-generated visual content
Automated LinkedIn publishing after approval
Human-in-the-loop control to prevent unapproved publishing
Tools & Technologies
n8n | AI Agents | LLM Integration | Email Automation | LinkedIn API
Business Value
This automation helps businesses, agencies, and personal brands streamline their content workflow, reduce repetitive tasks, and maintain consistent publishing.
The workflow can also be extended to support platforms such as Facebook, Instagram, and X, depending on API access and integration requirements.
Project Goal
Build a practical AI automation solution that turns content ideas into published posts while keeping the user in control.
Need a similar AI-powered content automation workflow for your business? Let's connect.
#n8n #AIAutomation #AIAgents #SocialMediaAutomation #ContentCreation #WorkflowAutomation #BusinessAutomation
This year’s YC Fall batch is for us creatives. 🎯
As a product designer, I’ve never felt like our field was changing as rapidly as it is right now. Tools emerge, you adapt, they disappear. Processes that took hours can now be largely automated, and overall, I feel like a big part of the fun gets lost because of a communication issue: I struggle to tell the tools exactly what I want in enough detail.
I recently stumbled across a few interesting and promising startups that might bring some of that joy back and take the pain out of parts of our work.
Proto is building an IDE specifically for product designers, bringing design and AI workflows closer together. 👩🏻💻
Simulithic uses AI agents to test your app across devices, browsers, and account types, automating test creation and maintenance. 🤳🏼
Composal uses swarms of AI agents to explore product flows and edge cases, finding what breaks before release. 🕵🏻♂️
Native helps marketers decide what to create by ranking ideas based on brand context, performance, trends, and creative feedback. 🦖
The edge case testing sounds promising.