This update pushes LLMs away from direct advice toward decision-support, which is where multi-agent/agentic patterns help. An agentic LLM can orchestrate retrieval of clinical/legal guidelines, run structured checklists, and escalate to licensed humans, while parallel agents cross-check citations, calibrate uncertainty, and enforce refusal policies. A distributed agentic AI with provenance and audit trails won’t remove liability, but it’s a more defensible architecture than a single end-to-end chatbot for high-risk domains.