Hey guys 👋 I just wrapped up filming a complete Claude Code course specifically for building voice agents. This isn’t surface-level. We are moving past manual builds and into high-speed, automated voice agent development. What’s inside the course: - How to properly install and set up Claude Code - Installing n8n skills, MCP servers - Indexing Retell AI documentation - Prompt examples.mds, agent customizations e.c.t - How to structure your systems correctly. - A simple 3-step process to create ANY voice agent - How to test and troubleshoot automatically - Deploy agents with live phone numbers - 5 different types of workflows & Voice Agents covering real-world use cases. - AND more... Why this matters... 💡 Most of my content so far has focused on manual creation. That’s still critical. You have to understand how voice agents work under the hood. But Claude Code changes the game. It lets you build faster, scale quicker, and unlock much more complex systems—if you know how to use it properly. In fact, I’m already actively using Claude Code to develop real voice agents for my clients. A lot of people ask me, "Will this replace us as agencies and developers?" And I tell them no, because clients have never cared about how we build the product. They just care about the results. This Claude system allows us to ship better, get results faster, and build superior systems for them. That’s exactly what this course teaches. I put a lot of work into making this practical, clear, and straight to the point so you can start building immediately. This will be one of my best videos yet... Dropping very soon. 👀 If you want more deep dives into Claude Code, advanced automations, or transitioning fully from manual builds, comment below. 👇

I’m Addy from Melbourne, Australia. I’m currently working as an AI Engineer, building production-grade RAG chatbots using LightRAG in n8n AI Agent workflows. Lately, I’ve been increasingly interested in Voice AI and Voice Agents, especially how conversational systems can move beyond text into real-time, intelligent voice interactions. I’m excited to dive deeper into this space and learn from everyone who is actively building and experimenting here. Really happy to be part of a community focused on Voice AI. Cheers!

Someone posted a question in a group I'm in QUESTION: "Is it just me, or does it feel like there are too many Voice AI tools right now? Vapi, Bland, Retell, ElevenLabs, etc. How are you guys deciding which stack to stick with? Trying not to tool-hop and waste time." And this is what I answered... Hope you pick something useful from it. Happy to get your thoughts and inputs ANSWER: The "Voice AI" fatigue is real because these tools often overlap while serving fundamentally different parts of the stack. To stop tool-hopping, you can categorise your decision based on whether you want a lego-set (modular), a finished product (all-in-one), or just the engine (voice quality). How to Choose Your Stack - Vapi: The "Lego Set" for Hardcore Devs Best for: Developers who want total control over every layer—from the LLM (OpenAI, Groq, etc.) to the STT and TTS providers. The Trade-off: It’s "Bring Your Own Key," meaning you manage multiple bills (Twilio, Deepgram, ElevenLabs) while Vapi adds a ~$0.05/min orchestration fee. - Retell AI: The "Production-Ready" Workhorse Best for: Teams that need to go live yesterday with sub-second latency and high reliability. Why it sticks: It handles the messy stuff like interruption handling and natural turn-taking better than most, with transparent pricing around $0.07/min. - Bland AI: The "Enterprise Powerhouse" Best for: High-volume outbound operations (e.g., thousands of calls/day) where you need "Conversational Pathways" to force the AI to follow strict scripts. The Trade-off: It’s less "plug-and-play" for small experimental projects and leans more towards large-scale enterprise automation. - ElevenLabs: The "Golden Voice" Best for: Quality above all else. They are primarily a voice provider that Vapi and Retell use. New Update: They recently launched their own Conversational AI 2.0 stack, allowing you to build simple agents directly in their dashboard without needing a third-party orchestrator.

If you’re new (or access the hub often), here’s a quick guide on how it works, the types of resources, how they’re updated, and how to navigate them to get the most value. I’m constantly adding new templates, tools, prompts, and more — here’s a full rundown: 1️⃣ How the Resources Work & Types of Resources: 🤖 AI Templates & YouTube Videos - Templates from my builds and demos. - Each AI template can use multiple resources to create an AI agent (prompts, workflows, tools, etc.) ⚙️ n8n & Make Templates - Standalone automations, not tied to voice agents or chatbots. - Platform-specific workflows to save you time. 📝 Ultimate Prompt Library - All prompts I’ve used for clients, demos, and builds. - Updated weekly (sometimes daily!). - Perfect if you need prompts for any type of agent or business application. 2️⃣ How to Access the Resource Hub Two main ways: 1. Classroom here 2. YouTube discussion section for new videos Otherwise, enjoy all the free resources and let me know how you get on!