Agentic systems, MCP, LLM comparisons, and automation workflows — from real-world experience.
In-depth guides and analysis on the topics that matter most
Two AI coding agents dropped on the same day. I tested both at enterprise scale. Here's why Claude Opus 4.6 wins despite what the benchmarks say.
Managing production prompts for AI agents is a nightmare. Learn how to avoid the '30 txt files' chaos, prevent prompt drift, and implement modular versioning for scalable agentic systems.
Discover how AI agents can transform your productivity by automating complex tasks, managing workflows, and scaling your capabilities. Learn practical strategies to leverage AI assistants and become a more efficient project manager in the age of artificial intelligence.
The latest from the blog
Kimi K2.5 is not the best model for everything, but it is often the best value for routine engineering work. This guide shows where Kimi wins, where Claude and Codex are stronger, and how to choose the right model by task type.
Dmytro Chaban
Learn how to set up OpenClaw on a Google Cloud Platform VM with Ubuntu Desktop GUI and Chrome Remote Desktop. Step-by-step tutorial for running this AI agent 24/7 in the cloud.
Dmytro Chaban
After one month of intensive testing with Kimi K2.5 and Claude Sonnet 4.5/Opus 4.5, here's the hard truth: one model costs 3x more, but the gap in capability is smaller than the price suggests.
Dmytro Chaban
Your AI prompts are scattered across 50 Python f-strings and you deploy to change the tone of a chatbot. There's a better way: treat prompts as infrastructure with modular injection, templating, and unit tests.
Dmytro Chaban
Zero-shot is fast but misses nuance. CoT nails complex reasoning but costs 2-5x more. After months of testing, here's exactly when to use each prompting approach.
Dmytro Chaban
Learn to build a custom AI business chatbot using n8n without code. This guide covers creating mock data, setting up OpenAI, and testing prompts to prototype your business logic fast.
Dmytro Chaban