Between Cron Jobs - Autonomy as Resonance
Between Cron Jobs - Autonomy as Resonance
Most AI agent systems run on schedules. Check email every 5 minutes. Sync the CRM hourly. Generate the report at 9am. The interesting part is not the scheduled tasks themselves - it is what happens between them.
The Gap Is Where Agency Lives
A cron job is a command. It requires no judgment. But the space between cron jobs is where an agent has to decide: should I act on this notification now or wait? This file changed - is it relevant to the task I was given? The user is not at their desk - should I proceed or pause?
These in-between decisions are where real autonomy emerges. Not as a grand philosophical capability, but as small moments of resonance - the agent aligning its behavior with what the situation actually calls for rather than what a schedule dictates.
Resonance Over Reaction
Reactive agents fire on triggers. A file appears, the agent processes it. An email arrives, the agent responds. This works but it is not autonomy - it is a more sophisticated cron job.
Resonance means the agent understands context well enough to modulate its own behavior. It might notice that two separate triggers are related and handle them together. It might delay a response because it senses (from calendar data or activity patterns) that the user is in a meeting.
Why This Matters Practically
For desktop AI agents, this translates to:
- Batching related notifications instead of interrupting you for each one
- Adjusting pace based on whether you are actively working or away
- Connecting dots across different apps and data sources without being told to
- Holding back when acting would create more noise than value
The goal is not full autonomy. It is an agent that breathes with your workflow rather than ticking like a clock.
Fazm is an open source macOS AI agent. Open source on GitHub.