Glossary

The vocabulary, without the mystique.

Every term you'll meet around AI agent teams — defined in two or three plain sentences first, elaboration after.

A

7 terms

Agent canvas

An agent canvas is a visual workspace that shows every AI agent on a team as its own element: what it is working on right now, what it is reasoning through, and how work flows from one agent to the next.

AI agent

An AI agent is software that pursues a goal by deciding on and carrying out multi-step actions — searching, judging, drafting — rather than only answering the prompt in front of it.

AI agent team

An AI agent team is a group of specialized AI agents that share one pipeline, with each agent owning a single, sharp responsibility — one finds, one qualifies, one drafts, one hands off for approval.

AI credits

AI credits are a usage-based billing unit that meters the work AI agents actually perform: each discrete action — finding leads, qualifying them, drafting a message — deducts a small, fixed number of credits.

Answer Engine Optimization (AEO)

Answer Engine Optimization (AEO) is the practice of structuring content so AI answer engines — ChatGPT, Perplexity, Google's AI Overviews — cite it in the answers they generate.

Approval-first

Approval-first is a design principle for AI agents in which every outward-facing or irreversible action — sending an email, publishing a post, spending money — requires explicit human approval before it executes.

Autonomy ladder

An autonomy ladder is a graduated trust model for AI agents: they begin by proposing every action for human approval, earn permission to handle routine work independently within explicit limits, and only gradually gain broader autonomy.

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