The learning path
Every use case runs on the same handful of concepts: an agent, its memory, a skill, a team, a schedule. These seven sessions teach them in the order they build on each other, each one ending with something real in your workspace. Start with a use case; come here when you want to understand how it worked, or to build one of your own.
Each session also runs in your chat: say teach me Session 3, or run /bluerock:learn to pick up where you left off.
Launch Your AI Workspace
Connect your Cloud AI Workspace and start from a production-ready project instead of a blank editor.
Build Your First AI Agent
Learn how agents work by creating one that solves a real task you do every week.
Build AI That Works Together
Turn individual agents into coordinated workflows that complete larger jobs automatically.
Run Your AI System
Put everything together and leave with a production-ready AI system that keeps working after you’re done learning.
Before the path
Setup
Get your workspace running and get your first real result out of it.
Build
Learn what an agent is by running one, then teach it your context and your work.
- Session 3: Anatomy of an agentWhat an agent actually is — instructions, tools, and the job you point it at — learned by writing your first one.~20 min
- Session 4: Give your agent memoryTeach your project who you are and how you work, so every agent starts with your context.~20 min
- Session 5: Turn a task into a skillTake a repeatable task you do by hand and teach it once as a skill you trigger by name.~30 min
- Session 6: Assemble a team of agentsSplit a larger job across several coordinated agents, each with one clear role.60–90 min
Automate
Split bigger jobs across specialists, then let them run without you.
Operate
Put it all together and run a real slice of your week on it.