Scheduled Tasks Let You Run AI Agents on Autopilot at Specific Times

Why It Matters

Automating daily briefings with AI frees executives and managers from routine information gathering, allowing faster, more informed decisions and higher team efficiency.

Key Takeaways

• Scheduled tasks automate AI agents to run at set times.
• Morning debrief pulls email, Slack, calendar for daily plan.
• Users can select AI model and output destination for each task.
• Embedding tasks in projects provides contextual data for better results.
• Automated briefs streamline project management and team communication.

Summary

The video introduces scheduled tasks as a way to run AI agents on autopilot at predefined intervals—hourly, daily, weekly, or on custom schedules. By embedding these tasks within a project, the AI inherits the project's skills, connectors, and context, enabling richer, more accurate outputs.

A primary use case highlighted is a "morning debrief" that runs each day at 7:30 a.m., scanning the user’s email, Slack, and calendar to generate a concise action plan. Users can choose the underlying model and designate where the brief is delivered, whether as a Slack message, email, or other channel.

The presenter demonstrates how the same framework can serve project managers, automatically summarizing project status and assigning daily tasks to team members. By leveraging existing tool integrations, the AI produces a tailored brief while maintaining data safety.

The broader implication is a shift toward continuous, context‑aware automation that reduces manual inbox triage, improves daily alignment, and scales knowledge work across teams, ultimately boosting productivity and decision speed.

Original Description

JJ's morning debrief runs every day at 7:30 AM. It scans his email, Slack, and calendar, then prepares a plan of action for the day. By the time he sits down to work, he already knows what needs his attention and has meeting prep ready.