The seductive version of agents is autonomy. The useful version is often discipline.
Real work is full of partial context, changing assumptions and responsibilities that cannot be inferred from a topic alone. Building agents for ongoing work and source-based analysis makes those gaps concrete: selecting relevant material, interpreting what changed and preparing the next action are different decisions.
What the work teaches
The strongest agent concepts do not begin with "what can the agent do?" They begin with "where does the work keep losing shape?" That might be between systems, between people, between meetings, or between a decision and the evidence that should support it.
The prototype has to expose the boundary of delegation. What should be automated? What should be prepared? What should be escalated? What should remain stubbornly human?
Reusable lesson
Design the handoff before the autonomy. A good agent leaves a trail: what it used, what it inferred, what it skipped and where human judgment must enter.
That makes the work less spectacular but more usable. The goal is not to remove people from the loop. It is to make the loop worth being in.