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JetStream’s answer is built around a feature called AI Blueprints—real-time graphs that map everything an AI system is doing inside an organization at any given moment. Each Blueprint traces the full chain of activity: which agents are running, which models they’re using, what data and tools they are interacting with, and who or what is behind each action. Rather than a static snapshot, Blueprints track live behavior, so if an AI system starts acting outside its intended purpose, the platform flags it. They also track cost, showing what each AI workflow is spending and who is responsible for it.

Building this system requires understanding of Make.com's interface and basic automation concepts, but it's accessible to anyone willing to invest a few hours in setup. The difficulty level sits at intermediate—more complex than basic automation but far simpler than custom programming. Once configured, the system runs automatically on whatever schedule you set, collecting data and building a historical record of your AIO performance.

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