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As agents take on more and output gets cheaper to produce, verification becomes the real constraint.🧵 hubs.la/Q04B_fqL0

Some things are cheap to verify: did the run complete, does the schema validate, do the checksums match.✅ Others are only checkable against history: is this runtime normal, do the QC metrics sit where the last 200 runs sat.

❌And some are hard to verify at all: is this signal or a batch effect, is this parameter choice defensible. Nothing exists to measure it against, and a wrong answer can look like a right one.

Whether the work is done by a person, an agent, or a deterministic pipeline, the needs stay the same: ✅ Rules to govern it → compute environments, permissions, regulatory guardrails ✅ Context to work from → sample metadata, LIMS events, run history