Beginner Module 2
Build an AI operating rhythm
Beginner bridges into automation, memory, MCP, persistent agents, and daily AI habits.
Beginner path
Read these in order
These articles mirror existing AI Lab topics in this module. Each starts with plain meaning, a small safe example, first moves, mistakes, and guardrails before linking to the technical topic.
Step 1
Automation pipelines
A beginner way to turn repeated work into checked steps before adding automation.
Step 2
AI-first lifestyle
How to build daily AI habits that prepare work, clarify thinking, and still leave decisions to the human.
Step 3
MCP servers
A plain explanation of how an MCP server lets an AI tool read from or act through a controlled interface.
Step 4
Living memory
How notes, decisions, lessons, and public artifacts can become a memory system that compounds.
Step 5
Persistent agents
A beginner explanation of agents that keep context, run over time, and need clear boundaries.
Go deeper later
When you want the technical module
The beginner path gives you the plain-language foundation. The full AI Lab module keeps the technical topic structure for deeper study.