I automated my lead generation workflow. Here's what broke (and what I learned fixing it) 😅 The goal: Search Google Maps for businesses → Scrape websites for emails → Verify them → Save to Google Sheets. All automated. Sounds simple, right? It wasn't. Reality: Nothing worked the first time. I watched a YouTube video few months earlier and was trying to find a way to find emails of businesses for FREE. What broke (and what I learned): 🔴 Problem: I tried Apify but the limits were Hit in 2 days. Fix: I built an email pattern generator (info@, contact@, sales@) Lesson: Check API limits BEFORE you build 🔴 Problem: Getting emails like [email protected] (lol) My pattern generator got emails with www. Fix: One line code fixed "www." Lesson: Test with 1 item first, not 50 🔴 Problem: "Too Many Requests" errors everywhere Fix: Added a loop with 1-second delays between requests Lesson: Rate limiting is about workflow structure, not just code 🔴 Problem: All my data disappeared after API calls Fix: I used set data node to preserve data Lesson: Data doesn't magically stick around—you have to design for it 🔴 Problem: Paid API's everywhere 💀 The main problem with lead generations is to get verified emails and these are not FREE. Fix: Cut patterns from 15 to 6 per business (still works!) Lesson: Free tiers force you to optimize (not a bad thing) The real takeaway? Not every automation project is a portfolio piece. Sometimes the real value is in what broke and how you fixed it. After all the fixes: I can now generate 100-200 verified leads in 15 days, fully automated. But honestly? The debugging taught me more than the final result. Quick question: How you handle paid APIs costs

Built an AI-Powered B2B Account Scoring System — Here's How It Works One of my recent projects: a fully automated lead scoring pipeline built from scratch using n8n, Perplexity AI, and OpenRouter. What it does: - Takes a list of companies from Google Sheets - Automatically researches each company using live AI web search - Scores them on a custom 100-point matrix across 6 business signals - Generates a personalized sales recommendation per account - Writes all enriched data back to Google Sheets — fully automated Tech behind it: - n8n — 4 modular sub-workflows handling orchestration, research, scoring, and output - Perplexity AI (sonar-pro) — real-time company research - OpenRouter (Claude 3.5 Haiku) — structured data extraction + recommendation generation - Google Sheets — input/output layer Key concepts applied: - Modular workflow architecture - API chaining with data persistence between nodes - Custom scoring logic with classification (Hot / Warm / Cold) - Error handling and status management The hardest part wasn't the AI — it was managing clean data flow between chained API calls. Full project available on GitHub → github.com/aamir7788/n8n-account-scoring-system Happy to answer any questions or discuss the architecture!

Agentic worklows are the next big thing... but they're also misunderstood. So this is EXACTLY how I’d teach a 10-year-old to build Agentic workflows using Claude Code, step by step. Simple breakdown, real examples, of how you can start building Agentic workflows yourself. Hope you guys enjoy! FIRECRAWL DISCOUNT

In this video, I break down exactly how to sign your first AI workflow client in 7 days, with real proof. You’ll hear directly from a member of AIS+, Christian, who signed his first automation client in just 7 days. We walk through the exact process he used, what actually worked, and how you can apply the same steps yourself.

2 videos in one day?! I just couldn't wait on this one. Been having so much fun building with Claude Code lately. More content coming soon. In this video, I’ll walk complete beginners through setting up Claude Code so it can actually build n8n workflows and agents for you. You’ll see how to use Claude Code inside Visual Studio Code, connect it to the n8n MCP server so it can search nodes, configurations, and existing workflow templates, and give it the ability to create, edit, and manage workflows directly in your n8n instance. We also connect n8n skills so Claude understands how nodes work together and how to use the MCP server properly. The result is a supercharged Claude setup that’s loaded with n8n knowledge, so even if Claude Code feels intimidating, this tutorial gets you fully set up and ready to start building workflows much faster.