A practical homelab setup for self-hosting SigNoz and LiteLLM on Kubernetes, with OpenTelemetry-based tracing and metrics for local AI workloads like PDFusion.
Run Penpot inside a Talos Kubernetes homelab, connect it to Claude Code with penpot-mcp, and let AI...
This post demonstrates how to run a fully self-hosted n8n automation platform on a Talos Kubernetes...
This post documents my homelab setup built around a highly available Talos Linux Kubernetes cluster...
Blender MCP for n8n is a Model Context Protocol (MCP) bridge that allows n8n AI workflows to...
Living Storybook explores what happens when storytelling is treated as a system rather than a stream...
VoiceDoc Agent is a voice-native document intelligence system built for the AI Partner Catalyst...
This post demonstrates how to build an autonomous DeepAgents-powered pipeline that performs intent...
This post walks through building a complete multi-agent system using LangGraph—from a simple...
This blog post details how I built a multi-agent system using Google’s ADK, powered by...
This post explores how I built SmartFlat AI, a multi-agent system powered by AWS Bedrock AgentCore...
ATS Buddy is an AI-powered resume analysis tool built with AWS Bedrock, Textract, and Comprehend....
This post explores how to integrate n8n, OpenRouter, and Blender MCP to create AI-driven 3D modeling...
A step-by-step guide to integrating the Model Context Protocol (MCP) with Blender. From setup and...
