The AI Agent Tool Permission Matrix
A practical permission matrix for AI agents using MCP servers, APIs, Slack, GitHub, billing tools, production systems, and human approval gates.
May 264 min read
Field guides for agent workflows, MCP tooling, evals, production handoffs, and the architecture behind software that actually ships.
A practical permission matrix for AI agents using MCP servers, APIs, Slack, GitHub, billing tools, production systems, and human approval gates.
How to design AgentOps observability for production AI agents: traces, tool calls, approvals, cost, latency, evals, audit logs, and human correction loops.
Runtime governance for AI agents: policy checks, approvals, traceability, live tool controls, kill switches, model routing, and release gates.
Agent reliability engineering for production AI systems: failure modes, retries, idempotency, evals, rollbacks, observability, human override, and SLOs.