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How to Connect AI Agents to Real Enterprise Systems Safely
What changes when an AI agent moves from demo mode to real systems: secure APIs, orchestration layers, approvals, observability, and production boundaries that actually hold.
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These articles are where I slow down and explain the engineering decisions behind the kind of systems I build: secure AI integrations, event-driven platforms, multichannel products, and backend architecture that has to work outside a demo.
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What changes when an AI agent moves from demo mode to real systems: secure APIs, orchestration layers, approvals, observability, and production boundaries that actually hold.
2 articles
What changes when an AI agent moves from demo mode to real systems: secure APIs, orchestration layers, approvals, observability, and production boundaries that actually hold.
A production-focused look at tool orchestration: why MCP-style design matters, which patterns hold up in real systems, and where teams usually get into trouble.