#guardrails
4 resources and 1 guide tagged #guardrails on ChangeGamer.
- Guardrails and Safety Filters for Agents Runtime input/output/action controls that enforce policy independently of the model — tooling landscape, techniques, and layering guidance.
- Prompt Injection Design Patterns: Architectural Defenses for Agents Six named architectural patterns — Action-Selector, Plan-Then-Execute, LLM Map-Reduce, Dual LLM, Code-Then-Execute, Context-Minimization — plus Google DeepMind's CaMeL, that structurally constrain what an agent can do with untrusted data instead of just filtering it.
- Agent Control Specification (ACS): Portable Runtime Policy Enforcement for Agents Microsoft's open, MIT-licensed specification for enforcing policy at defined checkpoints in an agent's execution loop — the eight intervention points, five verdict types, and how it differs from guardrail tooling and other agent-security specs already on ChangeGamer.
- AI Customer Support Agents Architecture and production patterns for AI agents handling customer support — escalation triggers, human handoff and context preservation, ticketing/helpdesk integration, deflection-rate framing, and brand-voice guardrails.
Guides
- How to Design Guardrails for AI Agent Reliability An operator playbook for reliability guardrails: the three checkpoints (input, output, action), layering cheap checks under slow ones with a fail-closed default, the two-of-three-properties rule for when a tool call needs human approval, and logging every verdict against the run trace ID.