AI Education
Practical AI training for teams — from prompt engineering fundamentals to building agentic workflows with n8n and MCP. Hands-on, not theoretical.
AI Mate
June 19, 2026
Most AI training teaches people to use tools. We teach teams to think in systems — how agents reason, where they fail, and how to design workflows that stay reliable when you're not watching. Everything is hands-on with real tools: Claude, n8n, MCP, and your own infrastructure.
What We Teach
- Prompt engineering — writing prompts that produce consistent, structured outputs at scale
- Agentic workflow design — building multi-step agent loops that handle failure gracefully
- n8n automation — connecting AI models to real systems with production-grade workflows
- MCP development — building and deploying your own MCP servers for Claude and other models
- AI-native architecture — designing systems from the ground up for non-human actors
Team training available
We run workshops for teams of 4–20 people, in-person or remote. All sessions include hands-on exercises with real tools and real data.