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!

Hey everyone! Got early access to Veo 3.1 on Higgsfield and decided to put it head-to-head with Sora 2. Did a full comparison video testing the same prompts across both platforms. Some quick takeaways: - Veo 3.1's audio quality is noticeably cleaner (almost studio-grade) - Sora 2 does longer generations (12 seconds vs 8 seconds) - Veo 3.1 works better with image-to-video when you use a starting frame - Both have their strengths depending on what you're creating I tested everything from fitness videos to anime scenes to product commercials. Also included a bunch of community-generated clips that show what's really possible with Veo 3.1. Full breakdown in video below or here: https://youtu.be/LC23Q3iw3ZM?si=ORHJiVXgr3843-ys Worth noting - Higgsfield has unlimited generations right now on Sora 2 / WAN 2.5 and almost all of their image models (such as NanoBannana and Seedream 4.0), which is huge for anyone doing production work or iterating on ideas. BONUS: I'm also giving away a comprehensive deep-research report I put together on Veo 3.1 - covers all its capabilities, technical specs, and detailed comparisons against the competition. Its available if you visit the video on YouTube Curious what you all think. Anyone else testing these tools? What's your experience been?

OpenAI just dropped API access for their new image generation — and it changes everything. In this quick walkthrough, I show you exactly how to integrate it with n8n using an HTTP request node. Learn how to send prompts, convert base64 to binary, and automate image handling. This is a big one. Don’t miss it. 🔗 Official API Overview: https://openai.com/index/image-generation-api/ 🔗 API Reference – Create Image: https://platform.openai.com/docs/api-reference/images/create 👇 Drop questions in the comments if you need help.

Is reality fundamentally real, or an elaborate simulation? Part 2 dives into the compelling arguments and potential 'clues' hidden in plain sight.