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The Agent Definition Card
Four definitions of “AI agent” on one page, with the question that identifies each one.
One PDF for anyone choosing an AI tool who wants to know what the word on the sales page actually means, without reading four specifications to find out.
You don’t need to take a vendor’s word for what counts as an agent anymore. This card is built for
one thing: telling the four meanings apart in about ten seconds, before the subscription starts.
What’s Inside:
– The sorting question: the one question that places any product in the right category, and the three answers a vendor gives when they cannot answer it.
– The four definitions, side by side: academic, architectural, product and network — who wrote each one, and the test each one actually applies.
– What each definition tells you: the specific thing a product passing that test is proven to do, stated plainly.
– What each definition does not tell you: the gap in each one, which is where the sales page lives.
– The sales-call script: the question, the good answer, the evasions, and what to ask next.
Every definition on the card is quoted from its own published source — Anthropic, OpenAI, the A2A specification under the Linux Foundation, and the standard AI textbook — so you understand the strategy, not just the shortcut.
Still taking the word on the pricing page at face value?
This Is For You If:
– You have 5–20 hours a week max and need leverage, not more grind.
– You are choosing AI tools for real work — a job, a side project, a small team — and the word “agent” is on every option in front of you.
– You want to compare products on what they do rather than on what they are called, and nobody has told you the definitions disagree.
– You are tired of paying for something that turned out to be a chatbot with a new label, and you want a test you can run before you buy.
The problem isn’t your ideas. It’s that you don’t have a system to tell four different meanings apart when they all use one word. This card is your system.
This free resource is built for busy professionals: people who want AI systems that give hours back, around a full-time job and a family.