When adding more AI agents makes a workflow harder to maintain
NN/g reports how piecemeal AI workflows become fragile. Start small and keep clear boundaries.
What changed
NN/g published observations from a study of people building agentic workflows. Quick fixes and accumulated context can create systems that are useful today but fragile to change.
Try this
Pick one workflow. Write down its goal, inputs and dependencies before adding another agent. Keep shared context separate from task-specific context.
Keep in mind
These are qualitative study observations, not a universal failure rate or a claim that every multi-agent system is unsafe.
Interview question
What is a useful check before adding another agent to a workflow?
- a.Understand its goal and dependenciesCorrect
- b.Add all available context
- c.Ignore earlier changes
- d.Assume more agents always help
Why? this is the answer
Clear boundaries help you understand and maintain the workflow.
Just read this? Test yourself on what you have been reading.
Read the original → nngroup.com
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