- [Instructor] Let's quickly recap what we built,
what we intentionally skipped, and what's coming next.
First of all, this was a great learning exercise.
You left the buzzwords behind
and now know what an AI agent really is.
You built the core architecture model
with instructions, memory, and tools,
and wired it into a working n8n workflow.
This is a solid foundation you can build on,
but of course, there are limitations
to what you can do in an afternoon.
This is not a production-ready AI agent yet.
On purpose, we didn't add guardrails or safety policies.
We didn't address security concerns or access controls.
We didn't set up systematic evaluation, no monitoring,
and we only touched light integrations,
no resilience engineering yet.
And that's totally fine,
because prototypes like this should be fast and focused.
Nothing you build needs to be thrown away.
You'll harden it step by step instead of starting over.
And now we'll shift from it works to it works reliably.
We'll do that through five critical dimensions.
First, we'll look at agent intelligence,
then monitoring and observability,
then governance and compliance, security and privacy,
and finally, the human-AI interface,
when to keep the human in the loop.
So next up, let's start with agent intelligence.
How to make your agent smarter
by improving reasoning and results safely.