Tools like OpenClaw, Hermes, and Manus sometimes become the only thing YouTubers talk about and then suddenly disappear. One person says, “This is extremely dangerous.” Another says, “It’s all you need.” Someone else posts a video saying, “I’ve handed everything over to one of these tools. Now I just sit back and watch movies on Netflix.”
But if we put the YouTube show aside and want to choose one of these tools, we first need to ask ourselves an important question:
Do we really need an autonomous agent?!
If our use of AI mostly involves asking questions, writing text, generating code, or doing a few one-off tasks, the harnesses we already have are enough.
An autonomous agent starts to make sense for work that:
- 🔁 Repeats regularly
- 🧩 Has several clearly defined steps
- 🛠 Moves between a limited number of tools or services
- ⏳ Needs to continue without us constantly watching it
For example, collecting information from several sources every day, checking for changes, categorizing the results, and producing a useful report.
The value of an agent here does not come only from being “intelligent.”
The real value is that it takes some of the burden of coordination, tracking, and back-and-forth between different steps off our shoulders.
⚠️ But there is a common mistake: first we install a tool, then we look for a job to give it.
It is like hiring someone because we know they can do many things, while we still cannot explain exactly what we want them to do. More importantly, we do not trust them enough yet to hand over every password and permission.
I think the right approach is the exact opposite.
First, we should pick something we do regularly: a repetitive, time-consuming task with a reasonably predictable result.
Then we should be able to answer four questions about it:
- What exactly is the final goal of this task?
- Which tools and permissions does it require?
- How will we know it was completed correctly?
- If it goes wrong, how easily can we reverse and fix it?
If the answers are not clear, the task is probably not ready for automation yet, whether with a script or an autonomous agent.
🧪 Even after choosing the right task, it is better not to run it with an autonomous agent from day one.
First, we should run the same workflow several times with our existing harnesses, different models, and our own supervision. We need to inspect the outputs, find where it gets stuck, and see whether the result is genuinely predictable.
Once the agent repeatedly produces acceptable results within a defined boundary, we can hand parts of the work over to a trigger, a schedule, or independent execution.
If automating a workflow means we constantly have to chase it, fix its mistakes, and check what strange decision it made this time, we have not automated anything. We have only changed the shape of the work.
So we should not start with this question:
“Which autonomous agent should I install?”
The better question is:
“Which part of my work is repetitive, clear, and measurable enough to delegate?”
If we do not have an answer, we probably do not need an autonomous agent yet.