2.4M views, 113.6K watch hours, +8,000 subscribers, and $5.4K estimated revenue in just 28 days. This is what happens when the right niche, strategy, and monetization system come together. No guessing just data-driven YouTube growth. If you want results like this 👉 Check under the comments 👉 Join our Telegram channel 📥 Or DM me directly to get started

So I got a bunch of Tavily API credits for completing their course AND I wanted to show how to use a Boilerplate template to start apps. Combined this with a system (Claude Code Plugin) I've been developing the past couple of months I'm calling 'Apex Spec System' and I made a pretty awesome and good looking app. Complete open-source here: https://github.com/moshehbenavraham/tavily-app How it works: - Phases → major feature groups - Sessions → focused implementation units - Specs → detailed requirements per session - Task checklists → 15-30 items to complete - Validation gates → quality checks before moving on The result: - 15 sessions across 3 phases - FastAPI backend + React frontend + PostgreSQL - Auth, CRUD, 4 Tavily operations, save results with metadata - ~15K lines of production-ready code - 2 afternoons The key insight: AI doesn't drift when it has clear scope, explicit constraints, and traceable progress. It's not magic—it's just structured prompting at the project level. Video below! Curious if anyone else is experimenting with structured AI dev workflows such as BMAD, Github Spec Kit, etc. What's working for you?

Most of my work focuses on AI automation for clients, but at the end of the year I also created an AI-powered New Year’s greeting video for one of them. I’d like to add that I’m not a video or movie expert and I don’t have a background in this field. Still, with the help of AI tools, I was able to create the final video without any major issues: - VEO 3.1 – video clips - Nono Banana Pro – images - ElevenLabs – audio background and voice-over - CapCut – final editing and assembly The point is simple: if I can do it, you can too.And if you like the video, feel free to give it a like 👍

AUTOMATED my entire Sales Process. Result: 14 booked appointments in 30 days. Here's what the system does: -Finds your ideal prospects automatically - Sends hyper-personalized outreach - Handles follow-ups (2-3 touches) - Books qualified calls straight to your calendar Perfect for: B2B Businesses, Sales teams, agencies, consultants who want consistent pipeline without manual outreach. Recorded a full breakdown. Comment "DEMO" and I'll send it

Voice AI agents have come a long way. What used to take a bunch of custom tools and webhook wiring can now be done much faster using MCP. In this video, I show how to build a simple AI receptionist that: - Answers calls - Collects customer info - Checks availability - Books appointments into Google Calendar - Saves the customer record into Google Sheets - Sends a confirmation email Here is the flow, step by step: 1. Set up the voice agent in Vapi - Use GPT 4.1 mini for lower cost and faster responses - Make the assistant speak first - Add a system prompt with identity, tone, and tool instructions 2. Connect Vapi to n8n using MCP - Add an MCP Server Trigger in n8n - Build your tools as sub workflows - In Vapi, create an MCP tool and paste the MCP server URL - Add an Authorization header using your n8n API key 3. Create the sub workflows (these become your tools) - Get user - Search the Google Sheet by email - If not found, return “new client” so the agent knows to create them - Create user - Append a new row with name, phone, email, and call date - Get available slots - Pull calendar events for the requested date - Return busy times between business hours (example 9:00 AM to 5:00 PM) - Book appointment - Create the Google Calendar event - Update the user row with service type and appointment time - Send a confirmation email 4. Let the model fill tool parameters automatically - In the MCP trigger inputs, use “defined automatically by the model” - This avoids extra agents and reduces latency and cost 5. Test the full experience end to end - Call the number - Book an appointment - Confirm the data shows up in Sheets and Calendar - Confirm the email is sent If you want to build this exact setup, I included the resources and workflows in the description. Subscribe for more tutorials on voice AI agents, MCP, and real automations you can deploy. https://youtu.be/IiTV70i-2zA?si=IQAZEllSWNTqoPyH