AI / Agentic AI Interview Questions
Why do enterprises prefer hardcoded state-transition graphs over freeform agent loops?
A freeform agent loop lets the model decide its own next step at every turn, which is flexible but makes the space of possible behaviors hard to predict or audit.
- A hardcoded graph defines the exact set of nodes and possible transitions in advance, so the model can only choose among pre-approved paths
- Makes it straightforward to insert mandatory checkpoints, like human approval, at exactly the points where they're needed
- Produces execution traces that are easier to audit, since every possible path through the workflow is already known and documented
For enterprise use cases involving real money, real customer data, or compliance requirements, this predictability is usually worth more than the extra flexibility a fully freeform loop would offer.
What does a hardcoded graph limit the model to?
Why do enterprise use cases often prefer this predictability?
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