Memory
Ask: Where does the agent read the current state before it acts?
Proof: A durable record, not chat history: task state, decisions, owners, and last real artifact.
For founders moving AI agents from demos into real operations.
If you are searching for an AI agent operating system, the trap is starting with tools. The first useful question is simpler: can the agent remember the work, get stopped, stay in its role, and leave a record a founder can audit later?
Download the checklistFree, ungated .txt file · Built for Claude Code, Cursor, ChatGPT, or any agent team doing real work
These are the parts that make an agent system operable instead of impressive. If one is missing, the founder becomes the missing operating system.
Ask: Where does the agent read the current state before it acts?
Proof: A durable record, not chat history: task state, decisions, owners, and last real artifact.
Ask: What can stop the agent when the work is not ready?
Proof: A reviewer, test, approval rule, or policy check that can return NOT DONE.
Ask: Which narrow job is this agent responsible for?
Proof: A named lane with boundaries, inputs, outputs, and handoff rules.
Ask: How will a founder know what happened after the session ends?
Proof: A log with changed artifacts, commands run, decisions made, and remaining risk.
Use when you are designing agent workflows, hiring an AI automation consultant, comparing agent platforms, or deciding whether an internal process is ready for autonomous work.
Skip when you only need one prompt for a throwaway task. This is for recurring operations where mistakes need owners, logs, and a stop condition.