Gabber Blog

Step‑by‑step guide to add a VRM avatar to your Next.js/React app with Three.js and real‑time AI that can see, hear, speak, and lip‑sync using Gabber’s SDK.

Gabber Cloud is a hosted inference and orchestration platform for real-time, multimodal AI. Build apps that see, hear, speak, and act — with $1/hr inference and sub-second latency.

Building a real-time AI personal fitness trainer rep-counter that yells lightweight baby with Qwen3 VLM and Gabber

Learn how to stay compliant with Californias new AI chatbot compliance and safety laws. This guide will walk you through how we built a system that keeps even the most sensitive content compliant with the law.

Build real-time video AI apps with Qwen3 VL and Omni using Gabber's visual graph builder. No-code setup, $1/hour pricing, <200ms latency. Step-by-step guide with React examples.

A comprehensive guide on when and how to open source your project. Learn how to open source your project and get the most out of it.

Learn how I built a multi-modal AI companion that can see and hear you in real time, transition between states like chatting or observing, and even run locally—watching movies, gaming with you, and responding naturally.

Create a real-time AI companion that doesn’t just chat, but sees and hears. It can transition through states, update prompts, multi-task, carry out goals like upsell users on content.

Learn how to build a multi-participant conversational AI with multiple humans and multiple AI.

Learn how to use state machines with real-time AI to overcome LLM limits, reduce hallucinations, and build dynamic, reliable AI applications.

Why we're building real-time, multimodal AI apps using a hybrid graph architecture. Learn why traditional AI tooling falls short—and how to build systems that think, see, and respond like the real world.

Building with AI voice? Learn the difference between WebRTC and WebSockets — and why Gabber supports both real-time AI conversations and easy TTS plug-ins.

Looking for $1/hr AI voice? Discover Gabber's affordable real-time AI voice models, perfect for apps that need fast, high-quality TTS without breaking the bank.

One-shot cloning is a fast and cheap way to get an AI voice clone, but the best AI Voice Clones, LoRA finetuned models can laugh, cry, and change tone.

Premium voice clones, even LoRA finetuned models, can vary widely in quality. Here's how to make them sound the most emotional and realistic.

Explore the difference between real-time AI voice and traditional text-to-speech (TTS) systems. Discover why latency, responsiveness, and user experience matter more than ever.

AI memory unlocks persistent, personalized experiences. Learn how memory-enabled chatbots retain context, understand users, and deliver smarter conversations.

Discover how Gabber's powerful orchestration engine makes building realtime AI video and voice applications effortless. Unlock new possibilities in AI today.

Learn how to build an AI teaching assistant that can help students learn in realtime using Gabber's SDK and APIs. This tutorial covers voice interactions, context management, and student analytics.

Build an AI fortune teller app with code samples. This app uses Gabber's Persona Engine and tool calling to generate dynamic fortunes.

Learn how to add easy, affordable, low latency realtime voice interactions to your LLM in minutes.

Learn how to give your LLM the ability to call external functions with Gabber's bolt-on tool calling

Tool calling lets your AI go beyond text replies. Discover how dynamic function calling, API access, and tool integration transform static AI into powerful, interactive applications.

AI voice in consumer apps used to be a non-starter. Too expensive, too slow, and too lifeless to matter. But with open-source Orpheus, a fast, expressive, human-like TTS model, real-time voice just became something you can actually use—and actually afford.

AI voice tech is exploding. But without emotionally attuned AI voice, it's just noise. Here's why expressive, human-like AI voice is the future of meaningful consumer experiences.

Learn how to add tool calling to your LLM easily. This is a simple guide to help you get started with tool calling.

Forming connections between AI and humans needs to have a long term memory component. This is how we can make AI more human.