WEBVTT

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Well, hopefully at this point you've now brought up that lab.

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You've gone through it yourself, you've put in some print statements, you've you've understood what's

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going on and you've used it as your way to then complete the exercise, both to try this out yourself,

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make a few different calls, and you've also got some commercial feedback as a result.

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And you know, it's not only about an agentic workflow that that takes several steps in a way.

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We've also given our LMS some autonomy because we asked it to come up with the business sector that

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it would investigate.

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And so you could you could think of that as, again, a baby step towards allowing the LM to plot its

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own path, to choose its own adventure, which, as we'll see, is one of the hallmarks of an agentic

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AI solution.

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Okay, so this hopefully looks a bit familiar to you.

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This is the six week curriculum that I showed you before.

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That is how we are laying on information week by week.

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And we are now wrapping up the first day and you're thinking, wow, what a.

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This was a long time.

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I will tell you that this day there was a lot of setup stuff.

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Other days will be shorter and will make a brisker progress with with good commercial stuff right away.

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But what I'm going to do is highlight in that square on the bottom left to show making an agentic workflow.

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Your first workflow is done.

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We've made progress already.

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Next time we're going to be talking about agents and agentic patterns and introducing what they are

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and how they work.

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And I can't wait.

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I will see you then.
