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- [Instructor] Let's quickly recap what we built,

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what we intentionally skipped, and what's coming next.

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First of all, this was a great learning exercise.

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You left the buzzwords behind

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and now know what an AI agent really is.

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You built the core architecture model

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with instructions, memory, and tools,

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and wired it into a working n8n workflow.

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This is a solid foundation you can build on,

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but of course, there are limitations

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to what you can do in an afternoon.

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This is not a production-ready AI agent yet.

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On purpose, we didn't add guardrails or safety policies.

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We didn't address security concerns or access controls.

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We didn't set up systematic evaluation, no monitoring,

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and we only touched light integrations,

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no resilience engineering yet.

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And that's totally fine,

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because prototypes like this should be fast and focused.

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Nothing you build needs to be thrown away.

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You'll harden it step by step instead of starting over.

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And now we'll shift from it works to it works reliably.

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We'll do that through five critical dimensions.

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First, we'll look at agent intelligence,

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then monitoring and observability,

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then governance and compliance, security and privacy,

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and finally, the human-AI interface,

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when to keep the human in the loop.

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So next up, let's start with agent intelligence.

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How to make your agent smarter

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by improving reasoning and results safely.