A 10-step framework for building an AI incident response agent, progressing from manual work to a fleet of autonomous agents. Covers the differences between LLMs, workflows, and agents, then walks through adding MCP tools, agent skills, memory (short-term and long-term via Agents.md), Standard Operating Procedures, periodic
Table of contents
The best way to build any app (Partner)Why the lack of determinism in AI is good for reliability and self-healingHow to build your first AI agentLessons from the trenchesDefining the role of the human in the loopTLDR: The Building Blocks of AI AgentsClosing Thoughts: The future of agentic workSort: