mkurri lab
AI experiments, one at a time
AI Security in 2026: Why Self-Hosted Sandboxes Are a Necessity
An explanation of why companies are transitioning to self-hosted solutions and how to protect corporate data when using AI agents.
How to Measure AI Efficiency in a Team? Tools for Observability
A practical overview of tools for monitoring the costs and performance of AI agents in your workflow.
Your CLAUDE.md Is a Liability, Not a Feature
The big global CLAUDE.md everyone proudly shares burns thousands of tokens before you type anything. Most of it is dead weight. Here is the audit, the cost, and the lazy-load pattern that fixes it.
Token Savings Guide
Why you're burning tokens faster than you think — and practical ways to cut your AI bill by 60%+ across any LLM tool or API.
Claude Code without Anthropic
Testing alternative AI providers behind Claude Code. What works, what breaks, exact configuration for Z.AI (GLM-5.1), Kimi (K2.5) and OpenRouter (Qwen 3.6).
Automated Content Pipeline
An end-to-end system where an AI agent orchestrates the full content lifecycle — from topic discovery to search indexing — across multiple publishing channels.
Claude Home Lab
Running Claude Code as 24/7 AI infrastructure. Always-on AI cofounder via Slack.
AI Image Model Benchmark
Comparing top AI image generation models. Same prompts, different results.
The End of the 'AI-enabled' Era: Why Agents Are the New Gold Rush
An explanation of the shift from conventional applications to autonomous agents that will manage your business for you.