When I told my girlfriend who’s coming to our private training this Wednesday, she screamed like we’d just scored front row seats at a NSYNC concert. 🔥 Sabrina Ramonov, creator of Blotato (the #1 AI content automation tool), is doing an exclusive masterclass. Free to join 🤝 She’s pulled in 35M+ views using AI + viral hooks and this Wednesday @ 6pm EST, she’s revealing her full playbook. 🎓 What you’ll learn: - How to instantly hook viewers and boost retention - Sabrina’s exact AI workflow for repurposing, editing & ideation - How to automate your content machine so it grows while you sleep 📅 WHEN: Wednesday @ 6pm EST 📍 WHERE: Reserve here ⚡ If you’re DONE wasting hours creating content manually and finally ready to let AI do the heavy lifting... this training will change everything.

I created a WhatsApp-integrated AI chatbot designed specially for clinics & healthcare providers. 🏥💬 👉 What it does: - Handles all patient queries instantly - Answers FAQs (timings, location, services, etc.) - Books and manages appointments automatically - No need to click or manage anything manually — the AI handles everything end-to-end 🙌 This means doctors and clinic staff can focus on patients, while the bot takes care of all the repetitive communication. Super powerful for any clinic that wants to save time, reduce workload, and never miss a patient inquiry. Would love to hear what you all think about it!

Google Maps Lead Generation & Enrichment Workflow for MSP Business Development As the Business Development Director for a multi-MSP portfolio, one of my biggest challenges is consistently sourcing, cleaning, and organizing new lead data across multiple regions. I wanted to share a two-part workflow I recently built in n8n that has streamlined the entire process and provided me with a scalable system for lead generation, enrichment, and outreach automation. Part 1: Lead Scraping & Upload - Starts with a form submission where I specify search terms (e.g., Law Firm, Legal, Attorney) and a location. - Runs an Apify Google Maps Scraper actor to pull company data and enriched contact information (emails, LinkedIn, etc.). - Includes a dynamic wait step (user-specified) since large searches can take several minutes. - Once completed, the dataset is retrieved, converted into a JSON file, and uploaded into a watched Google Drive folder. Part 2: Cleaning & Airtable Ingestion - A Google Drive trigger detects new files in the watched folder. - The file is downloaded, extracted, and passed to a cleaning & formatting code node, which strips non-essential data and maps the records into an Airtable-ready schema. - A routing node directs leads to the correct Airtable table based on business unit/territory - Records are upserted into the LEADS base in Airtable, and a Slack success message confirms completion for each territory. The Use Case We operate multiple MSPs across different regions, and our sales strategy relies heavily on targeting both geographies and industries/verticals. - This workflow allows us to organize leads by territory so each MSP business unit has its own pool of opportunities. - At the same time, we can tag and filter by industry verticals (e.g., Legal, Medical, Manufacturing, Non-Profit, CMMC-focused clients), which lets us prioritize the more profitable markets in the MSP space. - By combining geographic and industry-based segmentation, we can build highly targeted outreach campaigns that maximize ROI.

Imagine this: A lead fills out a form on your site. They’re interested. Curious. Ready to talk. Most businesses? They wait hours… sometimes days… to follow up. But what if a human‑sounding AI called them within seconds?Not a bot. Not a recording.A real-time, natural voice conversation. It thanks them. Asks questions. Books appointments. Handles objections.All without you or your team touching a thing. That’s the demo I just posted. If AI can do that… what else could it do in your business? f you're curious where this could fit, I’ll send you a free plan: https://tally.so/r/mValav

You spend hours opening, scanning, replying, and logging emails—while important ones slip through. So I built an Email Reply Agent with n8n: Schedule Trigger → Runs every 10 mins, scans inbox. Gmail (get mails) → Fetches unread messages. Gmail (details) → Extracts sender, subject & body. AI Agent (Google Gemini) → Summarizes the email, detects urgency, and drafts a reply. Create Record (Airtable/Sheets) → Logs summary + AI reply for tracking. Mark as Read → Flags processed emails. Create Draft (Gmail) → Auto-creates professional reply drafts (or auto-sends if safe). ⚡ Outcome:Inbox → Sorted. Replies → Ready. Emails → Tracked No more chaos, just clean workflows.