Guides, tutorials, and deep dives on AI agents, streaming, and creator tools.
Benchmarking Kokoro TTS, Speaches STT, and openedai-speech (Piper) on local ARM64 GPU hardware — real latency numbers, voice quality comparison, and production architecture for self-hosted voice pipelines.
How to replace SaaS automation tools with self-hosted n8n workflows powered by local LLMs — real architectures, real costs, and lessons from running them in production for three months.
How we built an end-to-end automated video production pipeline using local AI models — script generation, TTS, scene illustration, subtitle burning, and thumbnail creation, all running on a single ARM64 machine.
Sovereign AI gives organizations end-to-end control over their AI lifecycle — data, models, infrastructure. Here's why it matters for European businesses under the EU AI Act.
A practical guide to running LLM inference on ARM64 hardware - Ollama, vLLM, and ComfyUI on Jetson AGX Orin and DGX Spark with benchmarks and setup commands.
How to build a fully local AI stack with Ollama, Qdrant, n8n, openedai-speech, and Speaches — no cloud dependencies, no vendor lock-in, just localhost.
OpenClaw is an open-source agent orchestrator built for edge AI — deterministic scheduling, versioned skills, MCP connectivity, and ARM64 deployment patterns.
La IA soberana da a las organizaciones control extremo a extremo sobre su ciclo de vida de IA — datos, modelos, infraestructura. Esto es por qué importa para las empresas europeas bajo la EU AI Act.
I sat down and added up what I was paying to produce content. The total was $224-274/month, every month, forever. I wasn't paying for tools. I was paying for fragmentation.
The ultimate self-hosted creation suite for streamers.
Your behind-the-scenes AI team for streaming.
Deploy and configure your AI agent fleet.
Browse, buy, and sell digital creator assets.
Stream setup, AI agents, and content creation courses.
Gartner predicts 3x more SLM adoption by 2027. We break down when to use small vs large language models for enterprise deployment.
Gartner predice 3x mas adopcion de SLMs en 2027. Analizamos cuando usar modelos pequenos vs grandes en despliegues empresariales.