This is Episode 3 of my AI Cold-Calling Voice Agent series. In this demo, the AI agent handles “not interested” responses cleanly — something most human callers struggle with. The agent: - Respects boundaries - Ends the call professionally - Keeps the brand intact Built using VAPI + AI automation workflows. If you’re building AI agents for sales, outreach, or service businesses, happy to break down the logic behind this behavior.

Just finished a build I’m really proud of 👇 🧠 Goal: Turn WhatsApp chats into real customer leads for a mobile car detailing business. 💡 Stack Used: - n8n for automation logic - Google Gemini AI for natural conversation - Evolution API for WhatsApp integration - Google Sheets for CRM and memory tracking 🔧 What it does: - Detects if user is new or returning - Chats naturally and collects info (name, contact, car model, service type) - Shares FAQs and price list - Confirms bookings and generates unique IDs - Saves everything instantly to Sheets - All of this runs automatically — no manual follow-ups, no missed leads, no bots that sound robotic. 🔥 It’s like giving small businesses their own AI sales rep on WhatsApp. Thinking of packaging this into templates for other niches (salons, real estate, local service providers).Would that be useful for this community? 👇 Drop a comment if you’d like a walkthrough or to test it out! #n8n #automationbuilders #AIchatbot #whatsappbot #googleGemini #nocodeautomation #leadgen #communitybuilds

Hey everyone 👋 This year has been a lot for people trying to build online, AI moving fast, tools changing weekly, automation feeling overwhelming instead of freeing. I’ve noticed many of us aren’t stuck because we’re lazy or lack ideas… we’re stuck because there’s too much noise and not enough clarity. As a digital marketer, my focus this year is simple: help people turn AI + automation into something practical, not confusing. No hype. No “just automate everything” advice. Just real workflows, clear systems, and small wins that actually save time and make money. If you’re feeling overwhelmed, stuck between learning and executing, or unsure how to apply what you’re seeing here, know you’re not alone. I’m happy to share what’s working for me, what isn’t, and learn together with this community. Let’s make AI work for us this year, not stress us out. Glad to be here 🤝

Just wrapped an automation for a client racing against a January 31st contract deadline. They needed to backup thousands of course and program records with all associated PDFs before losing access to the platform - what would've taken their team weeks of manual clicking, downloading, and organizing. I built a Python script using requests and Selenium that handles the entire workflow: logs into the platform, filters by historical and active status across all subjects, extracts course and program information, downloads all available PDFs, converts HTML pages to PDF when needed, renames everything with clear file naming conventions, and organizes it all into structured folders. The client went from facing a data loss crisis to having a complete backup ready before their deadline. Anyone else deal with tight deadlines recently?

🚀 Funding & Investments • AI startup Humans& raised a huge $480M seed round at a ~$4.5 B valuation, indicating strong investor conviction in next-gen human-centric AI systems. • Voice AI startup Bolna raised $6.3M from General Catalyst and others to advance multilingual voice intelligence tech. • Spain-based asset-management AI provider Fracttal closed a $35M growth round led by Riverwood Capital to expand in Latin America. • Simplex AI secured $6M in funding to build Lev8, a real-time AI people-intelligence platform for sales and recruiting teams. • Upscale AI closed a $200M Series A to build specialized AI networking infrastructure/chips that optimize intra-cluster communication. 🧠 Acquisitions & Corporate Moves • UST acquires Tailwind Business Ventures, with Zinnov advising—expanding UST’s AI/tech services footprint. • Serve Robotics to acquire Diligent Robotics (~$29M+ earn-out) to expand beyond delivery into hospital AI robotics. • Care.fi acquires Aldun to launch a 10-minute automated patient discharge service nationwide in India. 🛰️ Product Launches & Tech Initiatives • Board launched Board Agents on Microsoft Foundry—AI agents natively embedded for enterprise planning (finance, supply chain). • Kyndryl unveiled its agentic AI-powered “Clean Field” for SAP modernization, aiming to accelerate enterprise digital transformation. 🧪 AI Research & Development / Tech Progress • Meta’s AI team delivered its first key internal models this month, a milestone for Meta Superintelligence Labs as it scales new AI capabilities. • Reports from Davos signal rising industry focus on AI infrastructure demand (energy, workers) with comments from Nvidia leadership. • Discussions at World Economic Forum highlight nuclear approvals to fuel AI data centers and national strategy for AI power needs. 🌐 Government / Policy Reports & Macro Tech Trends • The White House released “Artificial Intelligence and the Great Divergence”, urging AI infrastructure investment and deregulation to drive U.S. competitiveness.