Hey everyone, I wanted to drop in and share my latest solo project with the community. I reverse-engineered how top B2B creators structure viral posts. Then I forced Claude to follow those exact frameworks. Most AI content tools let the LLM freestyle. That's why everything sounds the same—generic, obvious, no edge. Here's what I built instead using n8n: The Stack: - Analyst Agent: Scrapes X for trending topics in real-time. - Perplexity Pro: Pulls hard metrics from Reddit/YC (zero hallucinations). - Ghostwriter Agent: Injects that data into pre-defined psychological frameworks (PAS, hook structures, proven pacing patterns). - The Orchestrator: n8n runs the entire pipeline. - The Guardrail: Slack Human-In-The-Loop for final approval before auto-publishing. The Difference: Claude isn't making up structure. It's filling in battle-tested templates that have already driven millions in engagement for elite B2B creators. The Result: - Content that reads like a $10k/month senior copywriter wrote it. - Zero AI tone. - Maximum authority. Data grounding + proven frameworks = content that actually converts. If your "AI content strategy" is just prompting GPT and hitting publish, you're not automating—you're just producing faster mediocrity. What does your content infrastructure look like? Let me know if anyone wants to talk about content engineering, AI automation, or vibe coding!

Hey everyone, Seeing a lot of agency owners in here looking for tech partners to handle the actual building. I’m a full-stack AI builder looking to team up with people who want to focus purely on sales/client acquisition. I’ve spent the last 9 months deep in n8n (using the Antigravity framework) to build robust backends that don't break at scale. But I also build out the custom front-ends and UI using Lovable, Base 44, and Google AI Studio. Basically, if you can sell a custom AI tool, client portal, or internal dashboard to a business—I can actually build the whole thing from front to back. If you’re good at closing deals but need a reliable tech partner to execute the backend and front end, drop a comment. Let’s build some cool stuff together.

I built a tool to eliminate the manual grind of sales call preparation. This Pre-Call Research Agent automatically analyzes a prospect's LinkedIn profile and company website to generate a comprehensive briefing document in seconds. Here’s what it delivers: - A concise summary of the prospect's background and role. - Key company insights and identified potential bottlenecks. - A list of predicted objections and relevant conversation starters. The Build: - Workflow Engine: n8n - Research & Analysis: Relevance AI - Frontend Interface: Base44 The value is in the time saved: this automates a process that typically takes 1-2 hours of manual research per prospect. It’s a fully functional prototype demonstrating how to connect these tools to create a powerful, time-saving asset for any sales team or agency. I'm curious to hear from you: What's the most repetitive research task in your workflow?

This end-to-end workflow demonstrates how to automate a personalized welcome process using n8n, Google Sheets, Gemini, and other integrated tools. Here’s the step-by-step flow: 📊 Google Sheets Trigger – The workflow starts when a new hire is added to a spreadsheet. 🤖 Gemini AI – Generates a custom welcome email using the hire’s name, role, team, and even a fun personal fact. 📅 Google Calendar – Automatically creates a welcome meeting. 💬 Slack – Posts an announcement to the team channel introducing the new member. ✉️ Gmail – Sends the beautifully crafted email to the new hire. The best part? The AI personalization—like this email for Alex, our (fictional) pie-eating champion: "We heard you’re a national pie-eating champion – that’s quite a feat! We’re thrilled to have your unique talents and enthusiasm." This project showcases how automation can enhance onboarding—making it efficient, consistent, and genuinely welcoming If you’re into automation or no-code workflows, I’d love to hear your thoughts!

Hello everyone, I've been working on a project to solve a classic problem: lead response time. The goal was to move from manual sorting to instant, AI-powered qualification and routing. I wanted to share the architecture I built and see what this community thinks. The Problem:Hot leads get cold when they sit in an inbox for hours. Manual lead scoring is slow and inconsistent. The Solution:A centralized system that automatically captures, enriches, scores, and routes every single lead instantly. How It Works: 1. Capture & Enrich: A web form trigger captures the lead. The workflow then pulls the company URL from the form to enrich the profile with additional data. 2. AI Scoring (The Brain): The enriched data is sent to Google Gemini. It scores the lead from 1-100 based on criteria stored in a Pinecone vector database (our "rulebook"). 3. Smart Routing: Hot leads (≥75) trigger an immediate CRM create, personalized email, and sales alert. Warm leads (25-74) are sent for sales review with a softer follow-up. Cold leads (<25) are logged for future nurturing, ensuring the sales team only focuses on the most promising opportunities. 4. Self-Learning: The system stays updated. New documents added to a Google Drive folder are automatically processed and added to the Pinecone knowledgebase. Key Tools: n8n (orchestration), Google Gemini (AI analysis), Pinecone (vector database for rules). This has been an incredible learning experience in connecting AI models to real-world business automation. I'm really interested in this space. I'd love to get your thoughts: - What's the biggest bottleneck in your own lead process? - How are you thinking about using AI for automation?