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AI is moving faster than the playbooks for running it.

Every month we send one email with what we learn from enterprise teams putting AI agents into production: what works, what it costs, and what breaks when nobody is governing it. Here is what lands in your inbox:

• Agentic engineering in practice: how enterprise teams take AI agents from pilot to production, and what that changes in their software delivery lifecycle.

• AI governance and cost: the guardrails, policies, and audit trails that keep agents in bounds, and what a query really costs once they run at scale.

• The context layer: how platform and data teams make enterprise APIs, services, and knowledge usable by agents instead of invisible to them.

• Platform engineering fundamentals: golden paths, self-service, DORA metrics, composable architecture. The ground everything above stands on.

• Product updates and events: what shipped across Context Catalog, AI Foundry, Flow, and Fast Data, plus the tech events worth your calendar.

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