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Building an AI Agent that puts humans in the loop with Knock and Cloudflare’s Agents SDK

_{This is a guest post by Chris Bell, CTO of Knock}

There’s a lot of talk right now about building AI agents, but not a lot out there about what it takes to make those agents truly useful.

An Agent is an autonomous system designed to make decisions and perform actions to achieve a specific goal or set of goals, without human input.

No matter how good your agent is at making decisions, you will need a person to provide guidance or input on the agent’s path towards its goal. After all, an agent that cannot interact or respond to the outside world and the systems that govern it will be limited in the problems it can solve.

That’s where the “human-in-the-loop” interaction pattern comes in. You're bringing a human into the agent's loop and requiring an input from that human before the agent can continue on its task.

In this blog post, we'll use Knock and the Cloudflare Agents SDK to build an AI Agent for a virtual card issuing workflow that requires human approval when a new card is requested.

You can find the complete code for this example in the repository.

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