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[00:00 - 00:19] For now we were talking about the automation and not that much about AI. Even though I already have mentioned in the name, basically, and the title of today's presentation that we're going to talk about AI as well .
[00:20 - 00:25] So what's from the AI front? Can we just add, slap the arm to that and cover the day?
[00:26 - 00:39] Yes, since AI is already a standout for a lot of different industries and a lot of different applications. Guys, from the end of the end of course included a variety of different AI tools.
[00:40 - 01:06] Today we're going to specifically focus on building AI agents. Since I believe this is the most interesting and easier stuff to cover as for the beginners, but also recently guys have added support from the MCP protocol, which is really important step as well for building additional complex AI system and different type agents as well.
[01:07 - 01:32] If you're not familiar with MCP, by the way, go and check super important stuff , especially if you're serious about learning AI engineering and want to move in that direction , highly recommend. So it was quite recent protocol standard and guys have already have added on the platform, which once again shows the strong, engaging support and that an event will be developed in the future.
[01:33 - 02:00] And having AI underneath the hood, this is super great because having an automation is great, but having smart automation is even better, right? By combining the static steps that we discussed previously with the decision- making logic will help you to build much more complex and interesting projects than you used to be able before with any done.