Jason automates a "chief of staff" thread that runs multiple times a day. It scans his email, Slack, and Linear board to synthesize priorities, pre-draft responses, and even manage tasks like flight check-ins, creating a focused overview of his work.

Shift weekly meetings from simple status reports to a problem-solving forum. An 'Execution Friction Check-in' focuses on three questions: 'Where are you stuck?', 'What have you tried?', and 'What support do you need?'. This surfaces bottlenecks and encourages collaborative solutions rather than just reporting progress.

The next frontier for engineering work is asynchronous management. Instead of synchronous prompting, managers create "routines" that automatically run daily, analyze feedback channels, identify issues, and even generate draft PRs for review. This moves management to a higher level of abstraction.

Notion uses a custom AI agent that runs daily, compiling a pre-read from various sources like Slack, tasks, and pull requests. This eliminates manual prep, reduces status reporting, and focuses meetings on strategic problem-solving.

To manage a team of specialist agents, designate one as a 'Chief of Staff' or manager. This manager agent can conduct bi-weekly performance reviews of the other agents, grade their output, and send a summary report to the human user, elevating your role from micromanaging tasks to high-level strategic oversight.

Configure automations to have your AI send you daily briefings. Based on content you've recently saved, it can proactively suggest business strategies or creative ideas. This transforms AI from a tool you must constantly prompt into an autonomous agent that actively contributes to your goals.

Traditionally a developer tool, scheduled tasks ('cron jobs') can be adopted by non-technical managers to automate repetitive oversight. For example, a cron job can scan a Slack channel at noon and automatically flag team members who missed their daily check-in.

Elevate your AI from a reactive tool to a proactive employee by setting up scheduled routines. Instead of just coding, task it with recurring operator work like creating a 'morning brief' from customer notes or running a 'weekly ops review' of open issues. This maintains business momentum and surfaces key insights.

AI agents are not "set and forget." To maximize their high-volume output and prevent them from becoming idle, you must interact with them daily, similar to a one-on-one meeting with an employee, to provide new inputs, context, and direction.