Match Agent Autonomy to Problem Ambiguity
Use the Cynefin domains to choose an appropriate level of agent autonomy.
The teach Cynefin is a sensemaking framework for choosing how to act under different kinds of uncertainty. In agent orchestration, it becomes an autonomy dial. Clear: automate with rules and spot checks. Complicated: let agents analyze, then route to expertise. Complex: run probes and preserve uncertainty. Chaotic: contain first; use agents only for narrow support. Confused: split the work until the pieces become classifiable. The point is not to label everything perfectly. The point is to avoid the same delegation style for different uncertainty levels. Agents are strongest when they have the right constraints for the domain. Example Renaming files…
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