I’ve just released a new micro-SaaS that turns screenshots into smooth zoom-and-pan videos — the same system I use to create my own Reels, Shorts, and quick demos. A lot of people have been asking how I generate these videos, so instead of explaining it repeatedly, I decided to share the actual system. It was vibe-coded, runs locally on your computer, and is designed specifically for short-form content. 👉 The tool is available inside the Skool community here: https://www.skool.com/automation-tribe 🎥 You can see examples of videos generated with this system here: https://www.youtube.com/shorts/qiYzSA1fonk https://www.youtube.com/shorts/IQY3myWq728 The project is already available in the Classroom, and the full walkthrough video will be available tomorrow, where I’ll show exactly how I create a video step by step. If you’re into content creation, tutorials, or product demos, this one is worth checking out 👀 Stay tuned. Tomorrow i will launch also a short video.

It's not just answering questions — it's showing you. "Hey, show me the best coffee shops near the Eiffel Tower" And it just... does it. Pans the map. Zooms in. Highlights spots. Talks back to you about what it found. This isn't search. This is conversation. --- What is this thing? Voice AI Conversation with Google Maps — a voice-powered AI agent that actually controls Google Maps while you talk to it. Ask it anything: - "What's the fastest route avoiding highways?" - "Find me beachfront hotels under $200 in Portugal" - "Show me where all the national parks are in Utah" - "Zoom out and show me the whole country" It doesn't just answer. It shows you. In real-time. While talking back. --- Why this hits different We've all typed into Google Maps. But talking to a map that responds, moves, and explores WITH you? That's a completely different experience. It's like having a knowledgeable local guide who also happens to control a giant interactive map on your wall. The Open Source Repo: https://github.com/moshehbenavraham/chat_with_google_maps --- The nerdy part (for my fellow builders) 🔧 Started with Google's AI Studio demo — cool proof of concept, but basically a toy. Nearly FULLY AUTOMATICALLY built: - Full authentication system - Secure backend (no exposed API keys 🔐) - Database for saving your stuff - AI monitoring dashboard and logging - Local/Dev/Production deployment on Vercel - 18,500+ lines of code Built the entire thing using the Apex Spec System — an open-source spec-driven Plugin/Skill for Claude Code. Every feature was spec'd out first, then built systematically. Complex project, zero chaos. 🔗 github.com/moshehbenavraham/apex-spec-system --- The future is conversational We're moving from: Click → Type → Talk This is just the beginning 🚀 Voice + AI + Maps is one combination. What about Voice + AI + your industry? The patterns we built here — security, monitoring, auth, database — they're reusable building blocks.

If you've been wanting to add voice AI to your project but can't decide which provider to use... I felt the same way. So I built something using my own 'Apex Spec System' (https://github.com/moshehbenavraham/apex-spec-system). It's called Voice Agent PuPuPlatter. (Yes, like the appetizer sampler at a Chinese restaurant.) One app. Seven voice AI providers. All in one tabbed interface. Here's what's included: → ElevenLabs (Widget + SDK modes) → OpenAI Realtime API → xAI Grok → Ultravox → Vapi → Retell You can switch between them instantly and compare the experience yourself. Each provider has: • Real-time transcripts • Audio visualization • Function calling demos • Automatic reconnection The UI is modern glassmorphism design. Works on mobile. Fully accessible. If interested, I also recorded a video tutorial series showing exactly how to set up your own ElevenLabs agent from scratch (links in the Repo). 5 videos. Step by step. Tech stack if you're curious: React 19 + TypeScript + Vite + Tailwind CSS 429+ tests included. Docker support for easy deployment. It's 100% free and open source. GitHub link: https://github.com/moshehbenavraham/Voice-Agent-PuPuPlatter Let me know which voice provider you've been eyeing!

Dear Automation Tribe members, On this 24th of December, I’d like to wish you all a joyful and restful holiday season. Thank you for being such an active, curious, and supportive part of our skool community. May the days ahead bring fresh ideas, renewed energy, and exciting automation wins in the year to come. Enjoy the holidays! ✨🤖 Warm wishes, Razvan

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?