Topic
Source-linked workflows that name Safety. Part of the AI agent use cases on UsecaseBoard, or browse all use cases.
An Ask HN on controlling agents that take real actions converges on: LLM proposes → deterministic validator (rules, spend ceilings, replay checks) → human approve—especially for refunds, payments, and database writes where prompt 'never do X' fails.
Parent workflow: kids ask Grok Bot for a draft email, read it, then show a grown-up first; the standing rule is three words — Don't send it.
Beta plugin sits between the model and your app: write hard-deny/soft-deny/allow rules in prose; Armor evaluates every tool call (powered by a decision model) and blocks policy violations before bash/git/exfil runs—Claude Code auto mode works via Ori on any OpenRouter model.