How to Write a Task That an AI Agent Can Execute Without Ambiguity
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How to Write a Task That an AI Agent Can Execute Without Ambiguity

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Equipo Hilbana
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Imagine you’re in the middle of an important project and decide to delegate a task to an AI agent. You ask it to “improve the user experience on the homepage.” Days later, you find out the agent has changed the menu layout, colors, and images, but hasn’t touched the performance. What seemed like a simple instruction has turned into a sea of unexpected changes. What went wrong?

The Root of the Problem: Ambiguity

The issue here isn’t that the AI agent acted wrongly. The failure lies in the ambiguity of the task. When you write a vague instruction, the agent doesn’t stop to ask: it decides on its own, and its decisions needn’t match what you had in mind.

That’s why a task needs to be defined. The goal is to minimize the interpretation the agent has to make. The more specific the task, the less room for error.

How to Define a Clear and Precise Task

To draft a task that an AI agent can execute without ambiguity, follow these steps:

  1. Define a clear objective: Specify what problem you’re trying to solve and what you expect as a result.
  2. Provide context: Include the necessary information the agent needs to know beforehand.
  3. Detail the scope: Indicate what should and should not be changed. This will prevent unwanted changes.
  4. Establish success criteria: Explain how you will know the task is successfully completed.
  5. Use examples: Whenever possible, illustrate your instructions with clear examples.

The Importance of a Single Source of Truth

A well-written task is useless if it’s not in an accessible and structured place. It doesn’t help that the scope is clear in your head, or in a chat message the agent will never read. When tasks, dependencies and context live in one place, you and the agent read the same thing.

In Hilbana, you can structure your projects so that each task is clearly defined and linked to its context. This not only improves the execution of AI agents but also strengthens team collaboration.

Conclusion

Writing clear tasks isn’t a discipline the agents brought with them: it was always a good idea. What changed is the price of skipping it, because whoever fills the gaps now works far faster than you review.

If you want to try it, create your workspace for free: the Free plan doesn’t expire and asks for no card. And if you’d rather understand how it works first, it’s in the documentation.