Dialog agents can run research and monitoring tasks on a schedule, delivering results automatically so you start each day with the intelligence that matters.
What scheduled tasks can do
Scheduled tasks run on a recurring cadence (daily, weekly, or custom intervals) and execute within your agent’s workspace. They have access to the same tools and memory as your interactive sessions, which means they can:
- Monitor competitors — Scan competitor websites, social media, and community discussions for changes
- Track trending topics — Surface what’s being discussed in specific subreddits or communities
- Generate briefings — Produce daily or weekly summaries of activity across your monitored topics
- Update databases — Append new data to your workspace databases for longitudinal analysis
- Flag changes — Alert you when something noteworthy happens (pricing changes, product launches, trending discussions)
Setting up a scheduled task
Tell your agent what you want monitored and how often:
Your agent creates the scheduled task and stores it in your workspace. For more details on the scheduling system, see Scheduling.
Receiving results
Scheduled task results can be delivered through multiple channels:
- In-app — Results appear in your session history, ready to review when you open Dialog
- Telegram — Get briefings pushed directly to your Telegram chat
- Slack — Pushed to DMs or an allowed channel, routed to the agent you chose for that channel
- Discord and WhatsApp — Coming soon
Set up delivery via Channels or by telling your agent:
End-of-day recaps
A popular pattern is having your agent generate a daily recap of everything that happened:
This turns your agent into a true Chief of Staff that keeps you informed without you having to check in.
Tips
Start with one or two scheduled tasks and expand from there. A daily Reddit trends scan and a weekly competitive briefing cover a lot of ground.
Scheduled tasks share your agent’s workspace. This means a weekly competitive scan can append to the same database your interactive research uses, building a longitudinal dataset automatically.
Combine scheduled monitoring with skills for more sophisticated workflows. A custom skill can define exactly how your agent should format competitive updates or what criteria to use when flagging pricing changes. 
