Your team uses AI. Has the way your company works actually changed?
Individual usage is a starting point. Operational change needs a workflow, an owner, and a before-and-after comparison.
For the people who run the business.
And the people making AI work inside it.
Clear explanations. Practical exercises.
No new vocabulary required.
They are not the same thing. Start with the distinction that changes how you build.
Personal agents vs. company agentsUseful to one person.
Reusable. Owned. Permissioned.
Three short, written lessons on how an AI employee works. Read in order, or start with the question you have.
Explore the AcademyUnderstand the three parts of an AI employee—and what to ask about each one.
Give the system a defined task, a review boundary, and a result you can measure.
What changes when more than one person relies on the system.
Free to read. No signup required.
Individual usage is a starting point. Operational change needs a workflow, an owner, and a before-and-after comparison.
A research note on useful context, maintained sources, and the difference between remembering and knowing.
A practical way to discuss permissions before a useful assistant becomes an unpredictable operator.
Less waiting for answers. Fewer repeated questions. A practical lesson in making company knowledge useful.
An operator’s reading of OpenAI’s Enterprise Signals: the usage gap, the skills gap, and the work behind both.
Frontier / typical output tokens per active user · multiple
What Anthropic’s Cadences report suggests about tools, delegation and learning—and what it cannot prove.
Claude Code minus chat / Cowork · points on a 1–5 autonomy scale