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All digests tagged FinOps
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The future of AI interaction is moving away from dashboards and UIs toward APIs and CLIs. Governance must be applied via Policy as Code, and value must be measured by a defined 'unit metric' or 'North Star.'
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TokenOps is an out-of-band control plane that manages AI agent costs by moving beyond simple hard caps. It uses a 'boundary annotation' to track attribution and employs 'steer' policies to guide agents toward cost efficiency.
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Patrick Debois maps AI-native development maturity, outlining a progression of patterns (Prompting $\rightarrow$ Context $\rightarrow$ Harness $\rightarrow$ Loop) and emphasizing that organizational success requires platform enablement and measuring shared component contributions.
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To move agents to production, organizations must implement rigorous governance. This includes classifying risk (reversible, sensitive, consequential), establishing a minimum control stack, and auditing across five pillars: Quality, Performance, Safety, Cost, and Business Impact.
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