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Frequent, contained public releases also work to their advantage. “I know for a lot of projects, they want to [do a] ‘we’ll release it when it’s done’ kind of thing,” said Mort. “We’ve found that releasing content builds hype, it gives players what they want, and perhaps most importantly, it serves as a proof of life and a fantastic recruitment tool.”
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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.
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