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!

I need beginners for my next project. 1: Rewriting 2: Translation 3: Data Entry 4: Video editing If you are available, kindly message me via Telegram t.me/Georgecharles235

Built a 2-part Make.com workflow for a sales rep that routes new leads into Slack for real-time approval, then qualifies or disqualifies them in ClickUp with a single button click. One issue I ran into: Slack button clicks were firing the webhook, but my router filters weren’t catching “approve vs deny.” The fix was realizing Slack sends interaction payloads differently than standard webhooks. Instead of filtering on message text, I had to parse the actions[].value from the interactive payload and route logic off that. Big reminder: when working with human-in-the-loop automations, always inspect the exact payload from user actions.

I’m planning a series of shoots that celebrate the stillness and texture of forest landscapes at dawn. The soft, angled morning light and occasional mist are essential to the mood I want to capture, so timing and sensitivity to natural conditions matter more than elaborate lighting gear. You’ll be working on-location in wooded settings, framing wide, immersive compositions as well as tighter details that highlight foliage, bark, and the interplay of light and shadow. I’ll handle shoot permits and logistics; you bring a full-frame body (or comparable), a solid tripod, and lenses suited for both sweeping vistas and intimate forest studies. Deliverables • A curated set of high-resolution RAW files plus color-corrected, lightly retouched JPEGs (300 dpi) suitable for large-format prints and web use. • A concise shoot log (location coordinates, lens, exposure) so I can credit each image accurately. The tone should be organic and true to nature—no heavy HDR or artificial saturation. If you have a portfolio that features dawn or woodland work, sharing a link will help confirm we’re aligned on style. I’m ready to move quickly once I find the right visual storyteller.