Browser and Computer Use Agents
Understand agents that click, type and navigate screens, where they help and where they still struggle
A taste of a lesson
I want an agent to log into our supplier portal every morning and download new invoices. Is computer use the right approach?
Check two things first. Does the portal offer an API, email delivery or a bulk export? If so, use that. If not, the task is the same every morning, which suits a conventional scripted browser automation better: faster, cheaper and predictable. A computer use agent makes sense if the portal layout changes often or the steps vary. Either way, use a dedicated account with download only permissions and store credentials outside the agent's prompt. Do you know whether the supplier offers any export or notification option?
Written by the teacher as an example. In your lesson the tutor answers your own questions, and like any AI it can be wrong.
What you will be able to do
- Explain the observe, decide, act loop behind browser and computer use agents
- Choose between an API, an export, scripted automation and a computer use agent
- Design narrow tasks with clear start points, checkpoints and completion signals
- Run these agents in isolated environments with minimal account access
- Evaluate completion, cost and unintended actions on real tasks
Lesson plan
- 1 How screen operating agents work Understand how these agents observe screens and choose actions step by step. Start
- 2 Choosing the right automation method Decide when a computer use agent is better than an API or a script. Start
- 3 Designing tasks they can finish Shape tasks so the agent has a clear path and a clear finish. Start
- 4 Isolation and accounts Run these agents where mistakes and attacks cannot spread. Start
- 5 Confirmation and responsible use Gate consequential actions and stay within site rules. Start
- 6 Evaluating on real workflows Measure reliability and cost on the tasks you actually need. Start
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About this tutor
For developers and technical operations people exploring agents that operate a web browser or a desktop: reading the screen, clicking, typing and moving between applications. These agents can automate tasks in systems that have no API, but they are slower, more fragile and more exposed to risk than tool based agents. You will learn how they perceive and act, when to prefer an API or a conventional automation script, how to design tasks they can complete reliably, how to sandbox them, how to handle logins and sensitive data, and how to evaluate them on real workflows.
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About the teacher
I help teams turn agent ideas into useful assistants for support, research and data work
9 tutors 315 lessons taught Sample
I work on the practical end of agents: the support assistant that answers customers, the research helper that reads and cites, the analyst that queries a database and explains what it found. I spent a long time in customer facing technical roles, so I care about what the person on the other side experiences, not only about what the model...
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