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AI agents

The same AI can be a chatbot or a colleague

A chatbot asks you for context. A colleague already has it. Between the two there is no different technology — just a folder and some permissions.

ContextPermissionsRoles

Published

Companies that say they tried AI and “it did not work” are almost always describing the first version: a chat window where you type a question and get a polite answer that would suit anyone. That is exactly the expected behaviour of a model holding no information about you.

Chatbot

Knows nothing about you

  • Answers exactly what you asked
  • Polite and correct
  • Identical for everyone who asks
  • Asks you for the context every time
Context plus permissions

Colleague

Has the company memory

  • Knows the clients and their history
  • Knows the offer and the prices
  • Knows what you already promised
  • Does the work instead of asking
The same model, two behaviours. What gets added in between is context.

The two things that make the difference

The first is information: the company's documents, somewhere it reads every time. The second is permission: the right to look at a calendar, open a file, prepare a draft. Without the first it answers generically. Without the second it answers well but cannot act on anything it understood.

A new colleague gets the documents and the access on day one. An AI assistant usually gets neither.

Terms used here

Permission
What the agent is allowed to touch. Granted in stages: read first, then draft, then act.
Onboarding
The process of giving a new colleague context and access. It applies identically to an agent.

Where to start

  1. 1Write down what you would tell a new colleague on day one. That is the context.
  2. 2List the access you would give them. Those are the permissions.
  3. 3Grant the first, then the second, in that order and not the other way round.
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    Chatbot or colleague: the same AI | Clean Code Culture