WEBVTT

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And welcome to the grand finale.

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I should mention that in Pipedrive I have.

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I have changed the name of one of our people to be Tom Jones, because I thought it would be bad if

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I if I had to try and present.

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I was someone that I'm not in this, uh, so.

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Well, I'm not Tom Jones either, but.

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But you know what I mean.

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Uh, let's, uh, let me me call this number right now as the, uh, famous singer Tom Jones, and we're

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off calling.

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Hi.

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Thanks for calling account AI.

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Who am I speaking with, please?

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Uh, my name is Tom Jones.

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Thanks, Tom.

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I've opened a new Deal record for you in our CRM.

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What time works best for your demo?

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We aim for 2 p.m. eastern time on weekdays, but I'm happy to schedule it whenever is most convenient

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for you.

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Yes.

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I'd like 2 p.m. Eastern on Tuesday, January the 6th, please.

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Booking your demo now.

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Your demo with account AI has been successfully booked for Tuesday, January 6th at 2 p.m. Eastern Time.

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You'll receive a calendar invitation shortly with all the details.

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Thank you for your interest and we look forward to speaking with you then.

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Thanks.

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Bye.

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Success!

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I can't believe I felt the need to say thanks bye at the end, because it was so engaging.

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And the thing that you don't know that I do know that you're about to know, is that during the course

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of that, while I was speaking and looking at my phone in front of me, I was also getting push notifications

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while it happened.

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So I can tell you that I am the proud recipient of two push notifications that came through while I

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was on.

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One of them saying created a deal and the other of them saying successfully scheduled a demo.

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Booked Tuesday, January the 6th, 2026 with Tom Jones.

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That is really cool.

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And now we have to dig into the data to check for ourselves that it worked well.

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Let's start in Pipedrive.

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We come into Pipedrive.

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If we go into the section on deals, we'll find that in addition to the Rob Carter deal from before,

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there is also now a Tom Jones deal.

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It was created and that worked great.

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So that's that's good to see.

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Now time to look in the calendar okay.

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And if we head over to the Google Calendar you will see that we have the old one on the fifth that we

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booked before with Tom Jones.

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And now we also have on January the 6th another demo with with Welsh singer Tom Jones.

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Uh, also also at the same time and at the zoom address and with all the details filled in as we wish,

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just missing the actual invite to the email itself, because I withheld that part of it.

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Just just to keep it as a, as a demo and not not send emails to people out in the internet.

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But but you for sure could add that in, uh, but for me, this means that I'm very happy to declare

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victory on this project at this point and very satisfying seeing all of the data built, everything

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come together.

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The CRM updated, the demo booked, uh, and yeah, I will tell you, hand on heart that this agent

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number two.

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First time, first time a charm.

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It just it just worked like that.

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There was no behind the scenes quickly coming in and fixing, uh, like there was with with with the

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first, uh, first agent.

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This agent worked right away.

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And I'd love to say that's credit to me and my careful attention to detail, but actually it's because

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I would I would argue it's because ten and 11 labs are built for this kind of thing.

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They're built in a way that is bulletproof and encourages you getting things right.

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There are a couple of points you can trip up, like the names of the body fields and making sure you

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have the right the right webhook URLs.

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But as long as you get that right, it just works as it did for us.

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And you can deliver tremendous business impact in like an hour.

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And here then, is the final picture of the architecture.

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We built the two main agents, business development manager and account executive, with their three

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and two Subagents all running together, representing six different external integrations representing

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seven different MLM calls.

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There was a lot that went into this and it worked so nicely together.

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And as I say, the big takeaway for you is that building an infrastructure like this, with this many

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integrations, integrations are hard.

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And with this kind of working with unstructured and structured data and making a number of different

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decisions based on it and being able to achieve this, this is something that could have been months

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of work in the past, and with a product like Nan, along with a beautiful product like 11 labs together,

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we're able to accomplish this in a matter of hours and in some cases, in a matter of minutes.

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We were able to put pieces of this together.

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And and to me, that is everything.

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And that is hopefully something that has blown your mind as much as it's blown mine.

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As I say, if I dare to say I want you to think of this like a canvas on which you can build like the

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canvas itself.

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This.

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This is something which is a starting point.

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It's.

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You probably already think of a number of flaws with this, particularly the way I read in all the people

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from the CRM, the way that the scheduling is a bit janky, and the way that it doesn't actually send

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the invites to the person themselves.

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But all of these are absolutely extendable, just using the same techniques and just being sure to carefully

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test at each point.

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And that's what you should do.

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This is something that you can turn into a business machine.

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The the messaging with the person that's that you're sending the email to that could also handle incoming

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emails.

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You could have it operating across a slack channel and have it be in a slack conversation with people,

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nurturing them through until the demo is booked.

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This this can be turned into a complete automated sales engine.

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So you sit back and you just watch the demo meetings coming in and hey, maybe you could have an agent

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that gives the demo and then just sit back and watch watch the revenue rolling in.

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Even better remembering, of course, all the way through to to to test as you go to evaluate the effectiveness

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of each of your agents.

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Always keep a careful eye on the evals and on achieving your business goals, and this could be a product

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that you build yourself for your own business.

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Or of course, it could be something that you offer to build for other people.

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This is something which which translates to so many different businesses.

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You could set up an AI automation agency that is a sales machine that you build and replicate this kind

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of structure to, to be suited to different businesses.

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Maybe you add in a Rag workflow as well so that it has specialist knowledge, domain knowledge of your

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client's business.

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Okay, that's enough on the capstone.

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I hope you loved it.

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We've got two minutes now to wrap up the whole course.

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So don't I know you're very tempted just to just to stop now.

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Forget the nonsense at the very end.

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But no, this is good nonsense.

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Hang on in there with me.

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I want to remind you that we've been through three weeks together, and it feels like a lot longer because

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we've packed in so much learning into three tight weeks.

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Let's look at them.

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Week one was called automation.

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Week two was called acceleration.

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Week three amplify.

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In week one we were building foundations.

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We were dealing with our first data integrations, and we ended with that beautiful portfolio, Rebalancer

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when it logged into Google Sheets and you saw it rebalancing an equity portfolio.

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Love it.

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Week two was when we first introduced 11 labs, the two different ways you could integrate.

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And then I went through Rag.

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I probably told you about rag like a million times.

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Just be sick of rag.

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But we went through rag.

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We used supabase and we, uh, we had vectors being ingested, and we ended up with the expert product

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voice agent that you could speak to about products that was reading from a Google sheet, or at least

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that had been read into a vector database from a Google Sheets, uh, rag plus voice agent solution.

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And then week three is when we went advanced, we covered some OAuth two stuff we deployed locally.

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At the beginning, it seems like an age ago we deployed to self-hosted version of HN.

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We went through MCP the couple of ways of using it.

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Context engineering and subagents.

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I had some rants there yesterday, and then today we polished off the capstone project, and I don't

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need to remind you about that because you're still smiling, I hope.

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From from everything that happened.

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And that means this is the moment I can mark the whole thing as complete.

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It's a clean sweep.

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You've done it all, and you get the Golden Cup at the end of it.

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Congratulations.

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You have completed the entire three week course.

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Everything here is done.

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And now you may be thinking to me, okay, but we didn't cover this, which I'm really interested in.

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Maybe it's loops.

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Maybe you want to know about merging data or various other things, because there's so much to it and

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there's lots in there.

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But what I genuinely believe is that I've equipped you with all of the foundational knowledge you need.

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The docs are great, and if you want to do something like a loop and you need to know how to do it,

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you can just look in their docs.

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And now you know the terminology.

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You know about nodes.

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You know about about things like an if and you know about how to use credentials of different sorts,

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you should be able to pick up anything that's missing for you as you want, because this needs to cater

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to many different audiences.

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Nan is very, very broad and can go in different directions, but I hope that I've equipped you with

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not just foundational knowledge, but quite advanced knowledge with a heavy leaning towards the AI.

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Stuff like context engineering and MCP should be enough to really give you a good footing however you

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want to continue your journey.

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And that is why I can confidently say that at this point, you have earned your black belt.

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You are a black belt and you can wear it with pride.

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That doesn't mean it's the end of your journey.

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There's still like the first and second and third down.

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Whatever.

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You can keep learning, keep building, make more and more advanced things, but recognize that you

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are now an expert, you know, and you can build things with real, measurable business impact for yourself

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and for your clients and for your agency, and you should start doing it today.

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And it just remains for me to thank you so much for being part of this entire journey, coming all the

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way to the end, even to this thank you segment, and I really appreciate it.

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Remember, whether you like it or not, you get me with the package and I'm always available.

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Please do connect with me on LinkedIn.

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That's the link.

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You can see it there.

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I'm sure I've put it all over the resources because I tend to be very eager with this, but please do

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that.

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Post your certificate on on LinkedIn should you wish, and if you tag me, then I will come in and amplify

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it as a way to sort of bring recognition to the fact that you've built up your expertise.

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And maybe that's something that might attract the interest of perhaps a future client, a future agency,

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a future employer, people who are on the look for experts or agent and voice agent experts, because

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you are now one of them.

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And my editor would kill me if I didn't mention that.

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To the extent you're comfortable rating the course on Udemy, it makes a massive difference to how Udemy

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recommends the course to others, so I would tremendously appreciate it if you did that.

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As I say, makes a huge difference.

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And if you're interested, if this course has piqued your interest in going a bit deeper and being more

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technical, then you might want to check out my AI engineering courses.

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There's one particularly on Agentic programming, which is something that might intrigue you.

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So check it out, take a look if you want to go a bit deeper into this.

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And the final thing I'll say.

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Most important of all, the thing you've got to do, they must have, is that you have to go on out

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there and build, build, build.

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I hope that, if nothing else, what this course has shown you is that it is remarkably easy to make

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substantial business impact in a very short amount of time, thanks to the power of Nan and 11 labs.

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And that's exactly what you should go out and do.

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And with that, thank you so very much.

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One more time for sticking at it all the way till the very end.

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I am super grateful, and I can't wait to hear about all the things that you build.
