Grok Bot: a company in 72 hours
Glossary
The words that come up in the course and are worth having clear. Each one links to the lesson that explains it in depth. Inside lessons, terms with a dotted underline open their definition.
- Auto-review
The automatic review that decides which of a Bot's actions need your approval before they happen.
Explained in lesson 04 →- Bot
An AI teammate with a name, a job and its own conversation. It works on a computer in the cloud, even when you're away.
Explained in lesson 01 →- Chief of staff
A coordinator Bot: it hands work to the other Bots and only reports blockers and decisions to you.
Explained in lesson 13 →- Cloud agent
A Cursor coding agent that works on its own computer on a copy of the code and returns the change for review.
Explained in lesson 15 →- Connector
A ready-made link between a Bot and a service such as Slack, Notion or GitHub. In the app they appear as Plugins.
Explained in lesson 08 →- CRM
The tool where a team tracks customers and sales deals.
Explained in lesson 19 →- Evals
Test cases run again after every change to check that a Bot still answers correctly.
Explained in lesson 25 →- Harness
The tools around a model that let it read, run and act. The same model performs differently depending on its harness.
Explained in lesson 15 →- MCP
A standard that lets an agent use a tool directly through its API, without clicking through a screen.
Explained in lesson 08 →- Playbook
The Bot team's manual: the rules they all follow, in a shared document.
Explained in lesson 13 →- Pull request
A proposed change to the code, packaged so someone can review it before it's accepted.
Explained in lesson 15 →- Routine
Work a Bot does on its own, on a schedule or when something happens in another tool.
Explained in lesson 10 →- Skill
Saved instructions to do a task the same way every time. All your Bots can use them.
Explained in lesson 06 →- Teach a task
Recording how you do a task on the Bot's computer so it learns it and saves it as a skill.
Explained in lesson 06 →- Tokens
The unit that measures the model's work: what it reads and what it writes. It's what uses up your plan.
Explained in lesson 21 →