Knowledge · workspace

Delegating tasks to AI: How to make agents truly work

How to delegate real work to AI agents – with sessions, a live terminal and finished outputs instead of mere chat responses. Plus: rules for good delegation.

Delegating tasks to AI means more than asking an AI questions: you hand over a task with a goal and context – and an agent carries it out in its own working environment, creates files and documents, and delivers you a finished result for approval. The difference from a chat is the same as between an advisor and an employee.

Answers are not work

Most people today use AI in question-and-answer mode: text in, text out, and the actual work – building the result into something, formatting it, filing it, finishing it – stays with the human. That is assistance, not delegation. Real delegation requires three things a chat window does not offer:

1. A working environment: The agent needs a place where it can create, edit and structure files – like an employee with their computer.
2. Visibility: You need to be able to see what it is doing – not just the final result, but the path there.
3. Approval: At the end there is a finished work result that you review and download – not a block of text to process further.

What this looks like in practice

webRichtung workspace is the platform's Agent Console – the environment in which agents not only work with your data but actually build something. Behind it stands a dedicated working environment with a file system, in which your agent works like an employee on their own computer. The delegation works like this:

• Sessions: Ongoing work is organized as a session – the Session Board shows you the status: running, waiting, needs attention.
• Terminal: Every session has its own terminal window – you watch live what is happening.
• Agent input: If a session needs your decision, it is shown to you collected; you reply directly to the agent of the active session.
• Outputs: Finished results – files, documents – you find in the Outputs area and download them directly.

So delegation here does not mean flying blind: you hand off without losing sight.

Delegating well: the same rules as with people

The fact that the employee is an AI changes little about the basic rules of good delegation:

1. Describe the goal, not the activity: "Create an overview of our services as a PDF for new customers" beats "do something about our services".
2. Provide context: What is the result for, who is the target group, what already exists?
3. Cut it into something definable: A task with a defined result can be approved – "take care of our marketing" cannot.
4. Plan checkpoints: For larger undertakings, request interim results instead of only checking at the end.

Vague assignments produce vague results – with agents just as much as in a team.

The right way to start

workspace is the platform's most powerful tool and intended for advanced users – it works with real working environments (runtimes), and your account is unlocked for it on request. If you are new to the platform, the step-by-step path makes sense: start with the chat assistant and your AI employee, who knows the context of your company – and hand over implementation work once the foundations are in place. What exactly an Agent Console is and why it forms the control panel of this way of working is explained in the article What is an Agent Console?

Markdown · Text