AI foundations
Objective
How AI Employees actually work, in plain language; how they think, what they know, what they do, how they reach into other systems, and when an automation is the better tool for the job. There is nothing to set up and nothing to activate.
Outcomes
✓You can explain how an AI Employee composes an answer, and what keeps it accurate
✓You know whether a given instruction belongs in behavior or in knowledge
✓You can tell when a job wants an AI Employee and when it wants an automation
This path covers
Six steps, each building on the one before it. Nothing here requires access to a live account.
From work to AI workforce
Workflows always needed a person at the end. This is what changed.
Key topics:
- Why automation was never the new part
- The two shapes of work
- What it means to have a worker on the other end
How AI Employees think
A different beast from the phone menu, and what keeps answers accurate.
Key topics:
- How an answer gets composed
- What a guess looks like, and how to spot one
- Working memory and where it runs out
Context is everything
The three sources behind every answer, and why business data is the moat.
Key topics:
- Three sources, one answer
- Instructions lead, knowledge informs
- Seeing exactly what an answer used
Instructions that scale
Capabilities, and the decision between an instruction and a document.
Key topics:
- Capabilities you switch on
- Whether something is behavior or facts
- Why short beats long
Taking action
How an AI Employee reaches into another system, safely.
Key topics:
- Tools as a doorway into another system
- When information wants to be a tool
- How actions stay safe
Agents and automations, together
Deterministic workflows, agentic AI, and how they hand off.
Key topics:
- Two kinds of help
- The sorting test for which one a job needs
- How the two hand off to each other
When you finish, the Hire your first AI Employee path puts every one of these ideas to work.