Directing AI agents without coding: the decisions you make

To build a calendar or a tracking tool, you already know an essential part of the job: the need. Here is how to explain it, follow the work and check the result.

Imagine preparing a calendar for your small team. One colleague can move an appointment; the others should only view it. Before discussing code, a decision is already needed: who is allowed to change what? That is a question you can answer.

What an AI agent does

An AI agent is software that uses an AI model to carry out tasks: preparing a document, changing code or running a check. It can follow several steps, but it can also make mistakes or misunderstand a request.

In Maestro, several agents share the work. This organisation helps you follow progress. It does not remove the need to check that the result meets your needs.

Give a specific situation

“I want a beautiful calendar” leaves plenty of room for assumptions. Try instead: “There are four of us. Everyone needs to see their appointments on a phone. Only Léa can change the times.”

Add what causes problems today: scattered messages, two appointments at the same time, a change nobody noticed. The AI then has a starting point it can explain back to you.

Approve one decision at a time

Before construction starts, read the proposed description. Does it include the four people, phone use and Léa’s permissions? If a rule is missing, ask for it to be added before moving on.

You can write: “This part is right. However, everyone also needs to report an absence. Suggest an updated version.” A specific disagreement is more useful than approval given just to move forward.

Try the result using your usual routine

When the calendar is visible, replay a real morning using fictional examples: add an appointment, move its time, view the calendar with an account that cannot make changes.

Note what happens, what you expected and where the two differ. Understanding the requirements document helps you connect each check to a decision already written down.

Know what you can assess

You can check the wording, user journeys and rules of your work. Technical reliability and data protection also need suitable checks: a page that appears to work does not prove either.

If a choice remains unclear, ask about its practical effects and limits. You do not have to accept an obscure explanation to direct the project. Your role starts with a clear request and continues through trying the result.