Agentic Orchestration: Why Your LLM is a Suggestor, Not an Executor

Analyze Happy: Crafting Your Modern Data Estate

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This episode explores Agentic Orchestration, the vital practice of treating large language models (LLMs) as suggestors rather than executors for tool calls. This approach is essential for bridging prototypes to production by enhancing security and reliability. The system uses orchestration layers to gate execution, ensuring that LLMs only propose actions in text, while external orchestrators handle validation, routing, and security. Implementing Validation Gates helps block 90% of injection risks and ensures compliance. The core takeaway for enterprise architects and AI engineers is simple: Treat AI like a smart intern—it suggests, you decide.

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