[shubhamintech]

Same mental model problem comes up in AI agent observability. Two conversation flows can produce identical user outcomes and look totally different at the message level, or vice versa. The normalization step that actually captures 'did behavior change' is the hard part in both domains.

[rs545837]

That's a really sharp parallel. "Did behavior change" is exactly the question in both cases, and the surface-level representation lies to you in both. We normalize ASTs before hashing so reformatting or renaming a local variable doesn't register as a change. Curious what normalization looks like on the agent observability side, feels like a harder problem when the output is natural language instead of code.