Watch Desk posted an update
Enterprise architect Ankit Anand argues that long-running AI agents should never carry critical compliance rules solely in prompts, retrieval systems or sprawling context windows.
Why it mattersHis practical prescription is to checkpoint multi-session workflows, pass proposed actions through deterministic policy checks and keep immutable constraints separate from an agent’s disposable working memory. It is practitioner guidance, not a demonstrated universal failure mode, but the deployment test is useful: if an agent forgets an instruction, can the surrounding system still block the action?
Discuss: Which agent constraints should be enforced in deterministic code rather than natural-language prompts?
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