
Agent Use Cases
Pre-Action Authorization for AI Agents
Pre-action authorization checks every AI agent tool call before it runs. Learn how to gate reads, writes, code execution, and loops.
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Pre-action authorization checks every AI agent tool call before it runs. Learn how to gate reads, writes, code execution, and loops.
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MCP execution boundaries help production AI agents use tools safely. Learn what to control after tools are connected and before loops run.
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Real guardrails for AI agents in production: input validation, action allow-lists, sandboxing, cost ceilings, and human-in-the-loop. Patterns you can ship.
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Build a custom MCP server that lets any AI agent run data analysis on your CSVs and databases. A complete, runnable TypeScript walkthrough.
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