7 Cron Prompts That Keep a Multi-Agent AI Team Running

Running one AI agent is straightforward. Running 22 of them across four executive divisions? That's where things break if you don't have the right orchestration in place.

I learned this the hard way. My multi-agent team would drift, lose sync, work off stale data, and fail silently. It took months of iteration to figure out which automations actually matter.

Here are the seven cron prompts that keep my entire system running.

1. Chief Heartbeat Monitor

The most basic and most important cron. Per-agent health checks on configurable intervals using a cheap model like Haiku.

It checks four things: the shared team memory file, each agent's individual memory, the backlog, and the PM board. The PM board check is critical because when you manually move tasks to "done," the agents need to know about it. Without heartbeats, they keep working off stale information.

Key insight: you don't need Opus for a health check. Haiku handles this perfectly at a fraction of the cost.

2. Watchdog Pattern

This is the only prompt on the list that runs as a script rather than a skill file. Its job is simple: verify that critical crons actually completed.

Your daily executive sync fires at 8:30 AM. But did it finish? Did all agents participate? Is the transcript where it should be?

Without a watchdog, critical processes can fail silently. You might not notice for days. I recommend watchdogs for your two or three most important crons, not for everything.

3. Cross-Functional Executive Sync

The most complex and most valuable automation in the system. A cron fires every morning, spawns each AI chief as a separate agent running in parallel, and they hold an actual meeting.

Before the meeting, the system loads context from the PM board, the suite chat, previous transcripts (to prevent repetition), and live YouTube stats. Each chief reports on their division, and then they respond to each other across multiple rounds.

The output includes a speaker-attributed transcript, TTS audio with different voices per chief, automatic PM board updates, and a Telegram notification.

This runs on Opus because the cross-functional reasoning quality matters.

4. Nightly Build and Deploy

A self-improvement cron that picks tasks and builds while you sleep. The critical detail is the priority order:

1. Check the backlog first (things already identified as needed)
2. Fix bugs second
3. Polish existing features third
4. Build new features ONLY if 1-3 have nothing

Without this hierarchy, agents default to building new features and skip backlog items. The result: redundant code and duplicate functionality. This priority order took weeks of iteration to get right.

5. Workspace Memory Sync

The fix for the most common multi-agent pain point: stale data.

This cron compares each agent's memory file against the PM board. Any item marked "active" in memory but "done" on the board gets updated automatically. Any item in memory that doesn't exist on the board gets flagged.

The PM board is the single source of truth. This cron enforces that. It runs on Sonnet since it's a comparison task, not a reasoning task.

6. Saturday Vision Sync

Daily and weekly syncs handle operations. But who handles strategy?

The Saturday vision sync tells the agents to step back from day-to-day tasks and think long-term. They reference the USER.md (which contains the creator's vision and goals) and discuss what to build next month, what trends to respond to, and what to stop doing.

No task lists. No completed items. Just forward-looking strategic discussion.

7. Memory Maintenance and Pruning

This single cron prevented me from needing any third-party memory solution.

It runs weekly and performs a full cleanup: reviews daily files, extracts significant items, removes stale entries, consolidates duplicates, and enforces a 500-line cap on memory files.

The best feature is the cron prompt drift audit. It runs a script that checks every cron for bloated inline prompts (over 20 lines with no skill reference). A cron that audits your other crons.

Since implementing this: virtually zero memory issues without external tools.

The Model Assignment Pattern

Each cron uses the right model for the job:

• Haiku: Simple checks (heartbeat, watchdog). Cheap and fast.
• Sonnet: Sync tasks (memory sync, pruning). Mid-tier reasoning.
• Opus: Deep reasoning (executive sync, nightly build, vision sync). Worth the cost.

Don't use Opus for everything. Match the model to the task.

How to Adapt These for Your System

Don't copy-paste these prompts. Your environment is different. Your models, agent names, project paths, and PM board setup are all unique.

Instead: screenshot the examples, feed them to your agent, and say "How can we adapt this for our system?" That approach actually works.

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