Choose a familiar schedule
Run daily, on workdays, weekly, or at a specific time. Advanced workflows can use a custom schedule.
- Clear presets
- Time-zone selection
- Custom scheduling when needed
Work without repeated reminders
OpenClaw
Hermes Agent
Your agent runs recurring tasks on schedule
Describe the result in plain language, choose the time and destination, and PawClaw shows the next run, result, and execution history.
24/7
tasks run in the cloud
Your zone
no manual time conversion
1 click
manual test run
History
results and errors stay visible
Test before automating
Run the task once, review the result, and only then leave it to run automatically.
- Manual run
- Execution history
- Clear result status
Deliver results to the right channel
A briefing or alert can arrive wherever you already talk to the agent.
- Telegram
- Other connected channels
- Dashboard history
In-depth guide
How this works in real life
A practical look at capabilities, setup, and operational boundaries.
Moving safely to automated work
Run the task manually first and verify that the result is useful and understandable. Then preserve the instruction, choose the schedule, and select the correct time zone. This prevents an outdated or incorrect process from repeating automatically.
Keep consequential actions behind human approval. Scheduling should automate result preparation, not silently make important decisions for the owner.
- Manual validation
- Clear result
- Correct time zone
- Review consequential actions
Explore more
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Read moreGive each agent only what it needs for the job
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Read moreFAQ
Frequently asked questions
Does my computer need to stay on?
No. A deployed agent and its schedules run in the PawClaw cloud.
Can I change the time later?
Yes. The schedule, instructions, and time zone can be updated in the dashboard.
Do I need to configure a server myself?
No. PawClaw.ai creates an isolated environment, launches the agent, and provides management from one dashboard.
Can I start without my own API key?
Yes. PawClaw connects a free model and allocates free tokens separately to each agent, so no custom key is required to start.