I've just finished my latest video: a three and a half hour zero-to-hero Claude Code explainer. I've included the most recent improvements on Claude to move as fast as possible and get a product which ACTUALLY makes money: https://youtu.be/roYQt9rL8Kc This is the actual method I'm using right now to generate solutions which people are genuinely excited to pay me! A real win-win... If you guys can drop some love on the video, I'd be SUPER grateful to try and help others with this... 🙏🏼

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! ( Find crazyyy value by typing in search: #MAX_tips# )

Hey everyone, Wrapping up 2025 with a reflection I wanted to share with this community. The short version: I left a stable contract role this year, pivoted 8 times, and somehow ended up with an interconnected system mapped on a whiteboard a a personal voice assistant, a TTS model I'm training, a B2B2B platform for agencies to white-label AI voice agents, an extensible workflow orchestration system, and tools to help other solo builders ship. The real lesson: Most projects don't die from lack of discipline. They die from discovery fatigue. You start something, hit a capability gap (wrong language, missing skill, unknown domain), detour into learning, and life swallows the project before you return. AI changes this. Not by replacing your vision - by closing the gap between imagination and implementation. I shipped code in Rust, Go, Swift, C. Languages I can read but could never have written full systems in alone. That's not AI replacing me. That's AI multiplying what I could do. The framework that clicked: People talk about "human in the loop." But what we're really building is "AI in the loop." We're the conductors. We bring ideas, vision, course corrections. AI is the orchestra we're learning to lead. It's not a replacement for human teams — it's leverage for people who can't afford one. What I wish I knew at the start: The regret of not trying outlasts the failure. You can always find another job. But the courage to leap makes you stronger than you realise. For anyone sitting on unfinished projects: This is the time. The tools exist. The gap is closable. Don't let this moment pass. Happy to chat with anyone on a similar path. Not selling anything — just want to help. Have a wonderful NYE and a fabulous start of the New Year 🎉 Praney

I wanted to share something that's been on my mind as we wrap up this year. After about two decades working in software and leading teams, 2025 became the year I wrote the least amount of code in my career. It's also the year I shipped the most. Hundreds of thousands of lines across seven different projects. Not because I suddenly got faster. But because I finally understood something I'd been missing. The shift For years, I treated AI tools the way most of us do. Open a chat. Ask a question. Copy the answer. Repeat. It helped, but it didn't change anything fundamental. I was still the bottleneck. Still context-switching between writing, marketing, support, analytics. Still dropping balls. Then I started thinking differently. What if instead of asking AI for help, I gave AI actual responsibilities? Not just "write me an email" but "you handle email sequences for this product." Not just "give me ideas" but "you monitor what people are saying and flag what matters." What I learned The real unlock isn't a single powerful AI. It's a team of specialized agents, each with a clear job. One handles content. One handles social. One handles customer questions. One tracks metrics. And so on. They're not perfect. They need guidance. I review everything before it goes out. But the mental load is completely different now. I'm not doing seven jobs badly. I'm doing one job well: making decisions and setting direction. The agents handle the execution. They learn. They improve. The team keeps growing. Why I'm sharing this Not because I have it figured out. I definitely don't. But because I spent years thinking "I just need to work harder" or "I just need better systems" when the real answer was simpler: Stop trying to do everything yourself. Build a team. Even if that team is made of AI. The visual I attached shows the before and after. It's how I'm thinking about 2026. Curious if anyone else is experimenting with this approach. Would love to hear what's working for you.