AI Agent Sandbox Checklist
Use this AI agent sandbox checklist to isolate files, network access, tool calls, runtime resources, and hostile inputs before production.
AI Agent Model Routing Checklist
Use this AI agent model routing checklist to choose models by task type, risk, cost, latency, validation, and fallback behavior.
AI Agent Rollback Checklist
Use this AI agent rollback checklist to design previews, checkpoints, idempotency, approval gates, and recovery paths for production agent actions.
AI Agent Rate Limiting Checklist
Use this AI agent rate limiting checklist to control model calls, tool calls, retries, tenant usage, queues, and budget spikes before production.
AI Agent Secrets Management Checklist
Use this AI agent secrets management checklist to keep tokens, keys, credentials, logs, memory, and retrieval indexes out of model-visible context.
AI Agent Memory Checklist
Use this AI agent memory checklist to scope memory, validate writes, control retention, support deletion, and test memory poisoning risks.
AI Agent Tool Permissions Checklist
Use this AI agent tool permissions checklist to scope tools, validate arguments, enforce authorization, require approvals, and log every tool call.
When an AI Agent Is the Wrong Tool
Use this decision checklist to choose rules, structured outputs, RAG, workflows, or human approval before adding AI agent autonomy.
Build a Regression Test Suite for LLM Applications
Use this LLM regression test suite checklist to catch prompt, model, RAG, tool-use, safety, latency, and cost regressions before production release.
AI Agent Data Governance Checklist: Access, Retention, Training Use, and Deletion
Use this AI agent data governance checklist to control access, retention, training use, memory, logs, deletion, export, and vendor data flows.