Connect the work
AI Signals
Use AI Signals as a way to connect and control the work of personal productivity agents.
Start with what we know
Inputs and outputs.
We know about inputs and outputs: what an agent receives and what it produces.
Input
→
What it receives
Agent
→
Does the work
Output
What it produces
A visible update
What is a signal?
A signal is a short, structured update about that work: “Research ready,” “Approval needed,” or “Task failed.”
Think of it as an agent’s status update or handoff.
- ✓Research ready
- ?Approval needed
- !Task failed
See it. Connect it.
Signals can serve two purposes:
- 01 / Audit logs
Monitoring and governance
Publish signals to audit logs so we can review what happened, spot issues, and see where human attention is needed.
- 02 / Team channels
Coordination
Publish signals to team channels like Slack, where other personal agents can be configured to watch for them and take the next step.
One practical example
A visible handoff.
For example, your research agent finishes a customer brief and posts a “Brief ready” signal with a link in Slack. A teammate’s agent sees that Slack notification signal and drafts the meeting agenda.
01
Your research agent
Finishes the customer brief
Signal in Slack✓Brief ready
Result: Customer brief link
02
A teammate’s agent
Drafts the meeting agenda
A practical stepping stone
Connect useful pieces of work.
This gives us a practical stepping stone from individual productivity to more complex organizational workflow agents. We can start connecting useful pieces of work while keeping the handoffs visible.
Individual productivity→Visible handoffs→Organizational workflow agents
Your next step
To get started
Take one personal agent and define what it should signal, where that signal should go, and who or what should respond.
- 01 / Signal
What should it signal?
- 02 / Destination
Where should it go?
- 03 / Response
Who or what should respond?