Not an agent that's good once —
an employee that's good every day
For a one-off research task, a general agent is fine. For work you repeat daily, you want it saved, scheduled, and reported.
Re-explaining the same task every day?
General agents like Manus handle novel tasks reasonably well. The problem is repetition: you re-explain every time, and the result drifts every time. What worked yesterday comes out different today.
Xeona is built for repeat work. A task you've assigned once is saved as a workflow — steps you can see and verify — and runs on schedule with the same steps every day, tuned for real screen-based back-office work.
How they differ
| Manus | Xeona | |
|---|---|---|
| Built for | One-off research and novel tasks | Daily repeated operations |
| Repeat runs | Re-instruct every time | Saved workflows + scheduled runs |
| Consistency | Results can drift run to run | Same saved steps — same quality |
| Visibility | Chat logs | Step-by-step review + Telegram reports and follow-ups |
| Screen-based back offices | General-purpose | Seller consoles, blogs, admin panels — screen work included |
How Xeona does it
Say it once
"Reply to reviews every morning at 9" — one explanation is enough.
Save it as a workflow
Review the steps the AI built and save them. From then on it runs exactly those steps.
It repeats and reports
It runs on schedule and reports results to Telegram.
Three minutes to hand off your first task.
Start freeJust type it like this
When the work is done, you get a report
Frequently asked questions
Aren't general agents smarter?
On a novel task, maybe. But daily work doesn't need fresh thinking — it needs the same quality on repeat. Xeona is built to save verified steps and run exactly those.
Can it still do one-off tasks?
Yes. Instruct it in chat and it runs right away — and when a task turns out to be worth repeating, save it as a workflow then.