If you found this community, you're already ahead of 99% of businesses. Most companies are talking about AI agents. You're here to actually deploy them. Here's exactly what this community is for: 🧪 The Lab is where you: - Get your first agent running properly - Learn secure deployment (not the "it kinda works" version) - Build internal workflows your team will actually use - Avoid the mistakes that turn agents into abandoned toys 📚 Start here: 1. Introduce yourself below 👇 2. Head to the Classroom and start Module 1 3. Post your first win (no matter how small) Tell us: - What's your business? - What process are you trying to automate first? - What's your biggest fear about deploying agents? We move fast here. Let's go. 🚀

I’ve been building production-grade AI systems focused on LLMs and real-time voice agents. Recent work includes: End-to-end LLM systems (RAG, tool calling, eval pipelines) Real-time voice agents (STT → LLM → TTS with streaming + interruption handling) Scalable backend systems (FastAPI / Node, async workers, Redis queues) Latency and cost optimization for production AI Tech stack: Next.js · FastAPI · OpenAI / local models · Vector DBs · WebRTC · Deepgram · ElevenLabs What I’m looking for: AI product teams Startups building voice or LLM-native apps Contract or full-time roles If you’re building something serious in this space, DM me or comment and I’ll reach out.