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16 contributions to AI Automation Society
🚀 Build in Public — Day 5
Another step forward on my AI Lead Qualification & Sales Automation Platform. Today I completed Workflow 03 — Follow-Up Automation Engine. With the first three workflows now connected, the platform is beginning to automate the lead journey from capture to AI analysis and personalized follow-up. ✅ Workflow 01 — Lead Capture Engine - Captures leads from multiple sources - Normalizes incoming data - Validates required fields - Stores records in Supabase - Creates activity logs ⬇️ Automatically triggers 🤖 Workflow 02 — AI Qualification Engine - Analyzes every lead using AI - Extracts buying intent and business insights - Generates an AI qualification summary - Updates the lead record - Handles AI failures with a safe review process ⬇️ Automatically triggers 📩 Workflow 03 — Follow-Up Automation Engine - Determines the correct follow-up path - Generates personalized follow-up content using AI - Supports multiple communication channels - Records follow-up activities - Updates the CRM automatically - Includes validation and error handling throughout the workflow Instead of sending the same generic message to every lead, the system is designed to generate context-aware follow-ups based on the information gathered during AI qualification. 🚧 Platform Progress ✅ 01 — Lead Capture Engine ✅ 02 — AI Qualification Engine ✅ 03 — Follow-Up Automation Engine ⏳ 04 — AI Lead Scoring Engine ⏳ 05 — CRM Sync Engine ⏳ 06 — Notification Engine ⏳ 07 — Analytics & Activity Engine ⏳ 08 — AI Sales Assistant Every workflow is built as an independent module that can be maintained, upgraded, and scaled without impacting the rest of the platform. The goal is to create a production-ready AI system that manages the complete sales lifecycle—from capturing leads and qualifying them with AI to generating intelligent follow-ups and supporting sales teams with automation. Next milestone: AI Lead Scoring Engine. #BuildInPublic #AIAutomation #AIAgents #n8n #SalesAutomation #LeadGeneration #Supabase #OpenAI #WorkflowAutomation #CRM #Automation #ForgeWireAI
🚀 Build in Public — Day 5
1 like • 2h
@Julius Waggoner Thank you! 🙌 I really appreciate the encouragement. I'll definitely keep building, learning, and sharing the journey. Hopefully each project gets a little better than the last. 🚀
1 like • 2h
@Julius Waggoner ❤️
Welcome! Introduce yourself + share a career goal you have 🎉
Let's get to know each other! Comment below sharing where you are in the world, a career goal you have, and something you like to do for fun. 😊
1 like • Jun 1
@Maximilian Altmann welcome to the community
2 likes • 2h
@Holly Frisch welcome to the community
Day 1 of Building My AI Lead Generation & Sales CRM with n8n 🚀
🚀 Day 1 of my AI Automation Journey! Today I completed the first two phases of my AI Lead Generation & Sales CRM using n8n. ✅ What I've built so far: 🔹 Google Maps Lead Collection (Apify) 🔹 Website Data Enrichment 🔹 Email & Company Information Extraction 🔹 Data Cleaning & Normalization 🔹 Duplicate Detection 🔹 Google Sheets CRM Integration 🔹 AI Lead Scoring 🔹 Business Opportunity Detection 🔹 Personalized Cold Email Generation 🔹 LinkedIn Outreach Message Generation 🔹 Sales Icebreaker Generation 🔹 CRM Auto Update This project is helping me learn how real AI automation agencies build scalable sales systems. The goal isn't just to scrape leads—it's to build an intelligent pipeline that finds businesses, qualifies them with AI, and prepares personalized outreach automatically. #n8n #OpenAI #AIAutomation #LeadGeneration #CRM #SalesAutomation #NoCode #LowCode #Automation #GoogleSheets #Apify #BusinessAutomation #WorkflowAutomation #BuildInPublic #LearningInPublic #AIAgents #TechProjects #Productivity #Entrepreneur #Developer
Day 1 of Building My AI Lead Generation & Sales CRM with n8n 🚀
0 likes • 3h
Great work keep it up.
🚀 Build in Public – Day 3
Yesterday I shared my first end-to-end AI automation for the luxury real estate platform. Today I focused on making the system even smarter by building two new n8n workflows. 🏡 1. AI Property Recommendation Engine When a new inquiry comes in, the workflow now: ✅ Identifies whether the lead is a buyer ✅ Normalizes buyer preferences ✅ Searches matching properties from Airtable ✅ Uses AI to rank and evaluate the best matches ✅ Returns personalized property recommendations ✅ Saves the recommendation history for future follow-ups Instead of sending random listings, the AI recommends properties based on what the buyer is actually looking for. 📧 2. AI Recommendation Email Automation Once recommendations are generated, another workflow automatically: ✅ Retrieves the selected properties ✅ Enriches the property data ✅ Generates a personalized email using AI ✅ Sends the recommendation email through Gmail ✅ Logs every success or failure ✅ Notifies the team in Slack for monitoring The entire recommendation process is now fully automated—from buyer inquiry to personalized email. 💡 What I learned today Breaking one large automation into multiple specialized workflows makes everything much easier to maintain, debug, and scale. Instead of creating one massive workflow, I'm building a system where each workflow has a single responsibility. This approach is already making development much cleaner. Still running everything locally with Docker + ngrok, but the next milestone is deploying everything to a VPS so it can run 24/7. Every day this project gets a little closer to becoming a production-ready AI-powered real estate platform. I'd love to hear how you structure larger n8n projects. Do you prefer one large workflow or multiple smaller workflows? #BuildInPublic #AIAutomation #n8n #OpenAI #Automation #RealEstate #AIAgents #WorkflowAutomation #NoCode #DeveloperJourney
🚀 Build in Public – Day 3
0 likes • 1d
@Ahmad Khan Right now, it's primarily acting as a lightweight backend for development—storing leads, activity logs, recommendation history, and workflow data while making everything easy to inspect during testing. As the project moves toward production, I'll likely migrate to PostgreSQL and keep Airtable only if there's a need for internal operations or non-technical team management. Thanks for asking! 🙌🚀
0 likes • 4h
@Chetan Mishra Thanks, bro! 🙌 That's exactly the vision I'm working toward. I want to build systems that don't just look good in a demo but are reliable, maintainable, and ready for real-world use. History, context, and modular architecture are all key pieces of that. Really appreciate your support and insights! 🚀
🚀 Build in Public — Day 4
Today I completed the second core workflow of my AI Lead Qualification & Sales Automation Platform. Yesterday I built the Lead Capture Engine. Today I connected it to the AI Qualification Engine. Now, every new lead can automatically move from data collection to AI-powered analysis. ✅ Workflow 01 — Lead Capture Engine - Multi-source lead intake - Data validation - Data normalization - Supabase storage - Activity logging - Production-ready error handling ⬇️ Automatically triggers 🤖 Workflow 02 — AI Qualification Engine - Retrieves newly captured lead - Builds AI-ready context - Uses AI to analyze the lead - Extracts buying intent and business insights - Generates an AI qualification summary - Updates the lead record - Creates qualification activity logs - Gracefully handles AI failures with a pending review process Instead of stopping when AI fails, the workflow safely marks the lead for manual review, ensuring no opportunities are lost. 🚧 Platform Roadmap ✅ 01 — Lead Capture Engine ✅ 02 — AI Qualification Engine ⏳ 03 — AI Lead Scoring Engine ⏳ 04 — CRM Sync Engine ⏳ 05 — Notification Engine ⏳ 06 — Follow-Up Automation Engine ⏳ 07 — Analytics & Activity Engine ⏳ 08 — AI Sales Assistant Every workflow is designed as an independent module that can be maintained, upgraded, and reused without affecting the rest of the platform. The goal isn't just to automate tasks—it's to build a production-ready AI system that manages the entire sales process, from capturing leads to qualifying them, prioritizing opportunities, updating the CRM, notifying the sales team, and automating follow-ups. Next milestone: AI Lead Scoring Engine. #BuildInPublic #AIAutomation #AIAgents #n8n #SalesAutomation #LeadGeneration #Supabase #OpenAI #WorkflowAutomation #CRM #Automation #ForgeWireAI
1 like • 24h
@Julius Waggoner Thanks! 🙌 I really appreciate the support. I've got a few exciting things in the works, so I'm looking forward to sharing tomorrow's update. 🚀
1 like • 24h
@Julius Waggoner ❤️
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Okasha Khan
4
25points to level up
@okasha-khan-1715
AI Learner | Automation Beginner . Passionate about learning AI automation and no-code tools.

Active 2h ago
Joined Mar 3, 2026
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