WEBVTT 00:00:00.000 --> 00:00:02.439 Imagine your work day for a second. Maybe you 00:00:02.439 --> 00:00:04.559 feel like you're drowning in repetitive tasks. 00:00:04.980 --> 00:00:08.740 Emails piling up, your calendar feels like just 00:00:08.740 --> 00:00:11.080 a total mess. You've got maybe five different 00:00:11.080 --> 00:00:13.400 tabs open just trying to schedule one simple 00:00:13.400 --> 00:00:17.320 meeting. What if? What if you had a digital assistant 00:00:17.320 --> 00:00:20.600 that could actually think for itself, make decisions, 00:00:21.199 --> 00:00:23.320 and do things without you constantly looking 00:00:23.320 --> 00:00:26.339 over its shoulder? Beat. Welcome to the world 00:00:26.339 --> 00:00:28.679 of AI agents. You're listening to the deep dive. 00:00:29.039 --> 00:00:31.039 This is where we extract the most important nuggets 00:00:31.039 --> 00:00:34.200 from sources to help you get informed fast. Today 00:00:34.200 --> 00:00:36.799 we're diving deep into AI agents, what they are, 00:00:36.979 --> 00:00:40.359 why they feel so different, and a practical guide. 00:00:40.560 --> 00:00:43.380 how you can actually build your own email assistant 00:00:43.380 --> 00:00:46.539 using a platform called N8n. It's pretty powerful. 00:00:46.939 --> 00:00:48.320 Yeah, we're going to unpack what really makes 00:00:48.320 --> 00:00:50.759 these AI agents different from, say, your standard 00:00:50.759 --> 00:00:53.579 chat bot or those kind of rigid automations you 00:00:53.579 --> 00:00:55.399 might already be using. Then we'll walk you through 00:00:55.399 --> 00:00:56.880 the core building blocks, show you exactly how 00:00:56.880 --> 00:00:58.359 they fit together. By the end, you'll get how 00:00:58.359 --> 00:01:00.780 these smart virtual employees work and, importantly, 00:01:00.840 --> 00:01:03.399 how you can start making them. It's exciting 00:01:03.399 --> 00:01:05.450 stuff. All right, so we're talking automation. 00:01:06.469 --> 00:01:09.090 And we've all set up email rules or maybe use 00:01:09.090 --> 00:01:11.549 Zapier for connecting things, simple stuff. But 00:01:11.549 --> 00:01:14.769 this feels different, like a real step change. 00:01:15.650 --> 00:01:18.450 What's the big picture here? Why is everyone 00:01:18.450 --> 00:01:21.890 calling AI agents a game changer right now? Well, 00:01:21.930 --> 00:01:24.549 they're revolutionary because unlike those basic 00:01:24.549 --> 00:01:27.109 tools, AI agents aren't just following a script 00:01:27.109 --> 00:01:29.590 someone wrote. Think of it more like having a 00:01:29.590 --> 00:01:34.060 genuinely smart virtual employee. They remember 00:01:34.060 --> 00:01:37.799 context from past chats. And crucially, they 00:01:37.799 --> 00:01:41.000 can use tools, like actual software tools, to 00:01:41.000 --> 00:01:43.760 get complex jobs done without you needing to 00:01:43.760 --> 00:01:46.340 hold their hand the whole way. So it's not just 00:01:46.340 --> 00:01:48.780 about being faster. It's about real autonomy, 00:01:49.500 --> 00:01:51.719 adaptability. That autonomy piece is really interesting. 00:01:51.859 --> 00:01:53.879 So for someone listening, what's the practical 00:01:53.879 --> 00:01:55.400 takeaway? What can we actually do with this? 00:01:55.480 --> 00:01:57.980 What problems can it solve? You can build some 00:01:57.980 --> 00:02:00.680 incredibly capable agents. Today, we're focusing 00:02:00.680 --> 00:02:03.439 on one that can handle a whole bunch of communication 00:02:03.439 --> 00:02:05.920 tasks, finding emails, drafting them, sending 00:02:05.920 --> 00:02:08.400 them, even following up, maybe. But stepping 00:02:08.400 --> 00:02:11.319 back, understanding these concepts, it lets you 00:02:11.319 --> 00:02:13.979 build much, much more complex systems. Think 00:02:13.979 --> 00:02:18.080 sales, customer support, data analysis. Yeah, 00:02:18.159 --> 00:02:20.580 the possibilities are huge. So boil down. What's 00:02:20.580 --> 00:02:22.719 the main shift here from the automation we already 00:02:22.719 --> 00:02:25.729 know? It's the agent's ability to think and adapt 00:02:25.729 --> 00:02:28.389 all on its own. OK, let's unpack that. Before 00:02:28.389 --> 00:02:30.210 we jump into building one, we probably need to 00:02:30.210 --> 00:02:33.169 get the fundamentals down. What's the first piece 00:02:33.169 --> 00:02:35.289 of the puzzle here? Right, the absolute foundation. 00:02:35.430 --> 00:02:38.550 That's large language models, LLMs. Think tools 00:02:38.550 --> 00:02:44.120 like ChatGPT or Claude. These are basically Incredibly 00:02:44.120 --> 00:02:46.819 powerful pattern matchers, trained on just massive 00:02:46.819 --> 00:02:49.379 amounts of text data. So they're amazing at understanding 00:02:49.379 --> 00:02:52.800 language, responding, summarizing, even writing 00:02:52.800 --> 00:02:54.400 pretty creatively. They're kind of like the brain. 00:02:54.599 --> 00:02:57.219 The brain, OK. But, and this is key, they can 00:02:57.219 --> 00:02:59.719 only talk. They can't actually do anything in 00:02:59.719 --> 00:03:01.860 real world or even the digital world beyond text. 00:03:02.280 --> 00:03:04.520 And LLM can write you a perfect email draft. 00:03:04.740 --> 00:03:07.659 But it can't send it. Exactly. Can't click send. 00:03:07.840 --> 00:03:10.479 So brilliant brain, but no hands, basically. 00:03:10.900 --> 00:03:13.120 What comes next then? to give it those hands. 00:03:13.259 --> 00:03:15.280 That's where your workflow automation platforms 00:03:15.280 --> 00:03:18.120 come in. Right. You mentioned Zapier or tools 00:03:18.120 --> 00:03:21.159 like N8n, make .com. These are like your digital 00:03:21.159 --> 00:03:23.360 choreographers. They let you connect different 00:03:23.360 --> 00:03:26.500 apps and set up these automated processes. If 00:03:26.500 --> 00:03:28.360 this happens, then do that logic. Like saving 00:03:28.360 --> 00:03:30.439 attachments or sending a notification. Exactly. 00:03:30.539 --> 00:03:32.719 Great for those repetitive, totally predictable 00:03:32.719 --> 00:03:36.080 tasks like following a recipe step by step. But 00:03:36.080 --> 00:03:39.620 here's the limitation. They're rigid if something 00:03:39.620 --> 00:03:42.539 unexpected crops up. Like a missing ingredient 00:03:42.539 --> 00:03:45.020 in the recipe. Precisely. Well, the oven's not 00:03:45.020 --> 00:03:48.039 right. The system usually just stops. It breaks. 00:03:48.300 --> 00:03:50.500 It can't improvise or adapt at all. OK, so this 00:03:50.500 --> 00:03:52.860 is where it gets really interesting, this game 00:03:52.860 --> 00:03:55.719 -changing combination. What happens when you 00:03:55.719 --> 00:03:58.860 mix the LLM brain with the automation platform's 00:03:58.860 --> 00:04:02.199 hands? That is your AI agent. It's the best of 00:04:02.199 --> 00:04:04.819 both worlds, plus that crucial extra ingredient, 00:04:05.740 --> 00:04:08.120 autonomy. Think about it like you're hiring a 00:04:08.120 --> 00:04:10.990 really capable virtual employee. You give it 00:04:10.990 --> 00:04:12.610 clear instructions, that's called the system 00:04:12.610 --> 00:04:14.949 prompt. Basically, it's job description, it's 00:04:14.949 --> 00:04:17.290 rules. You give it a brain, the LLM. You give 00:04:17.290 --> 00:04:19.269 it memory, so it remembers what you talked about 00:04:19.269 --> 00:04:22.089 before. And then you give it tools, access to 00:04:22.089 --> 00:04:24.110 your email, calendar, CRM, whatever it needs. 00:04:24.170 --> 00:04:26.670 And then it just goes to work. Figures things 00:04:26.670 --> 00:04:29.730 out. Like take that example. The rigid automation 00:04:29.730 --> 00:04:32.209 stops if it can't find John's email. Right, yeah. 00:04:32.290 --> 00:04:35.189 It just fails. An AI agent. Given the same task, 00:04:35.470 --> 00:04:38.389 it thinks. It goes, okay, I need to email John. 00:04:38.730 --> 00:04:41.480 Don't have his address. Let me use my Google 00:04:41.480 --> 00:04:44.860 Contacts tool. Ah search found it. Okay now I'll 00:04:44.860 --> 00:04:47.240 draft the email using the info provided Fill 00:04:47.240 --> 00:04:49.279 in the fields and then I'll send it a problem 00:04:49.279 --> 00:04:51.959 solves on its own. Exactly. Yeah, it solves the 00:04:51.959 --> 00:04:57.449 problem itself to sex silence I mean, just imagine 00:04:57.449 --> 00:04:59.629 scaling that kind of self -correction ability, 00:05:00.069 --> 00:05:03.350 managing billions of complex business processes 00:05:03.350 --> 00:05:05.529 every day. That's the real potential here. So 00:05:05.529 --> 00:05:08.250 the core differentiator again? Autonomous problem 00:05:08.250 --> 00:05:10.550 -solving. Okay. Combines thinking with adaptable 00:05:10.550 --> 00:05:13.129 action. This sounds incredible. Seriously, for 00:05:13.129 --> 00:05:15.050 a listener who's thinking, okay, I want to try 00:05:15.050 --> 00:05:17.949 this, what's the very first practical step? How 00:05:17.949 --> 00:05:20.889 do we begin? OK, so we're going to use n8n .io 00:05:20.889 --> 00:05:23.209 for this walkthrough. It's great because it's 00:05:23.209 --> 00:05:25.389 free to get started. It's got this really intuitive 00:05:25.389 --> 00:05:27.569 visual interface. You literally drag and drop 00:05:27.569 --> 00:05:30.269 components, these nodes, to build things out. 00:05:30.269 --> 00:05:32.230 Visual, OK. And it connects to hundreds, maybe 00:05:32.230 --> 00:05:34.629 thousands of tools now. So what you'll actually 00:05:34.629 --> 00:05:38.439 need is, well, a computer. a Google account for 00:05:38.439 --> 00:05:40.459 integrating with Gmail, Google Contacts, that 00:05:40.459 --> 00:05:42.839 sort of thing. Right. And importantly, an OpenAI 00:05:42.839 --> 00:05:45.959 account. You need that to get an API key. An 00:05:45.959 --> 00:05:48.240 API key. What's that exactly? Think of it like 00:05:48.240 --> 00:05:51.660 a secure password. It's your unique key that 00:05:51.660 --> 00:05:54.680 lets NADAN talk to OpenAI's language models on 00:05:54.680 --> 00:05:57.759 your behalf, securely. It's what gives your agent 00:05:57.759 --> 00:06:02.089 its intelligence. OK, so step one. Sign up for 00:06:02.089 --> 00:06:05.149 N8n .io, get your Google stuff ready, and get 00:06:05.149 --> 00:06:08.129 that OpenAI API key. Is that basically it for 00:06:08.129 --> 00:06:10.149 getting started? Yep, those are the main prerequisites. 00:06:10.430 --> 00:06:12.410 Once you log in to N8n, you'll just see this 00:06:12.410 --> 00:06:14.750 blank canvas. That's your workspace, where you 00:06:14.750 --> 00:06:16.370 build the agent. It's actually pretty straightforward 00:06:16.370 --> 00:06:18.350 to jump in. What's the essential prerequisite 00:06:18.350 --> 00:06:20.930 before building? Having your Google and OpenAI 00:06:20.930 --> 00:06:23.430 accounts ready, especially that API key. All 00:06:23.430 --> 00:06:25.209 right, now for the fun part, the hands -on bit. 00:06:25.329 --> 00:06:26.990 We're actually building this email assistant. 00:06:27.620 --> 00:06:29.660 Capable of understanding chat commands, finding 00:06:29.660 --> 00:06:32.420 contacts, writing and sending emails, remembering 00:06:32.420 --> 00:06:35.019 the conversation, and making its own decisions. 00:06:35.620 --> 00:06:38.779 Where do we start on that NAN canvas? Okay, step 00:06:38.779 --> 00:06:41.620 one, the communication channel. You start by 00:06:41.620 --> 00:06:43.480 adding a trigger node called on chat message. 00:06:43.899 --> 00:06:46.480 You just drag it onto the canvas. This instantly 00:06:46.480 --> 00:06:48.199 creates a little chat window that's your front 00:06:48.199 --> 00:06:50.519 door, basically. How you'll talk to the agent 00:06:50.519 --> 00:06:52.459 and give it commands. Got it, like it's inbox. 00:06:52.800 --> 00:06:56.129 Step two. Add the AI brain. This is the core. 00:06:56.490 --> 00:06:58.769 You drag over the AI agent node. It's a special 00:06:58.769 --> 00:07:01.470 node in NAN. Inside this node, first thing, you 00:07:01.470 --> 00:07:04.410 paste in that OpenAI API key you got. Then you 00:07:04.410 --> 00:07:07.990 choose the model. For this, we recommend selecting 00:07:07.990 --> 00:07:11.970 GPT 4 .0 mini. Why mini? Good question. It's 00:07:11.970 --> 00:07:14.629 like a super optimized version of GPT 4 .0. It's 00:07:14.629 --> 00:07:16.810 really smart, but designed to be faster and cheaper 00:07:16.810 --> 00:07:19.009 for these kinds of practical tasks. Great balance 00:07:19.009 --> 00:07:21.600 of power and efficiency. Step three. Give it 00:07:21.600 --> 00:07:24.240 memory. Still inside that same AI agent node, 00:07:24.480 --> 00:07:26.839 there's an option to add memory. Choose simple 00:07:26.839 --> 00:07:30.500 memory. Why is memory important? Ah, crucial. 00:07:30.879 --> 00:07:33.259 Without it, the agent has total amnesia after 00:07:33.259 --> 00:07:35.540 every single message. It wouldn't know what you 00:07:35.540 --> 00:07:39.379 just asked it. Right. Frustrating. Yeah. So simple 00:07:39.379 --> 00:07:42.500 memory. lets it remember, say, the last 10 messages, 00:07:42.879 --> 00:07:45.339 gives it context to understand the flow of the 00:07:45.339 --> 00:07:47.860 conversation. OK, so we have communication, a 00:07:47.860 --> 00:07:50.920 brain, memory for context. What about the actual 00:07:50.920 --> 00:07:54.600 doing part? The hands? Exactly. Tools. Step four. 00:07:55.000 --> 00:07:57.839 Equip it with a tool Google Contacts. You add 00:07:57.839 --> 00:08:00.199 this inside the AI agent node. It's like giving 00:08:00.199 --> 00:08:02.139 your employee access to the company directory. 00:08:02.759 --> 00:08:04.720 You connect your Google account, authorize it, 00:08:04.720 --> 00:08:07.100 and then set the operation to get money. That 00:08:07.100 --> 00:08:09.300 lets it search through all your contacts. Step 00:08:09.300 --> 00:08:11.860 five. Equip it with another tool, Gmail. Same 00:08:11.860 --> 00:08:14.600 process. Add the Gmail tool inside the AI agent 00:08:14.600 --> 00:08:16.759 node. Connect your Gmail account. Select the 00:08:16.759 --> 00:08:19.019 send operation. Now, here's a really neat trick. 00:08:19.379 --> 00:08:22.240 Next to the fields like to, subject, and message, 00:08:22.480 --> 00:08:24.040 you'll see this little icon. Looks like a magic 00:08:24.040 --> 00:08:27.819 wand. Click that. This tells the AI, hey, figure 00:08:27.819 --> 00:08:29.699 out the recipient, subject, and body from the 00:08:29.699 --> 00:08:32.059 user's chat message and fill these fields in 00:08:32.059 --> 00:08:34.399 automatically. It makes it super flexible. You 00:08:34.399 --> 00:08:37.200 know, I admit I still sometimes wrestle with 00:08:37.200 --> 00:08:39.799 getting prompts and instructions just right for 00:08:39.799 --> 00:08:42.059 these tools. It feels like a bit of an art sometimes. 00:08:42.240 --> 00:08:46.259 Oh, it really is. Sacs F. Tanks practice. And 00:08:46.259 --> 00:08:49.539 that actually leads right into step six. Write 00:08:49.539 --> 00:08:53.259 the instructions. The system plomped. Think of 00:08:53.259 --> 00:08:56.620 this as the agent's employee handbook, its core 00:08:56.620 --> 00:08:58.960 mission statement, its rules of engagement. It 00:08:58.960 --> 00:09:01.460 sounds critical. absolutely critical for how 00:09:01.460 --> 00:09:03.980 it behaves. You need to be clear. You write something 00:09:03.980 --> 00:09:07.029 like, you are an AI assistant. Your job is to 00:09:07.029 --> 00:09:09.570 help me manage emails and contacts. Important, 00:09:09.870 --> 00:09:12.029 you must use the Google Contacts tool to find 00:09:12.029 --> 00:09:14.230 an email address before you try to send any email. 00:09:14.549 --> 00:09:17.309 Only send if you find a valid address. Be helpful, 00:09:17.429 --> 00:09:19.490 professional. If you can't find an address, don't 00:09:19.490 --> 00:09:21.789 just fail, ask me for more info. So you're guiding 00:09:21.789 --> 00:09:24.350 its decision -making process. Precisely. These 00:09:24.350 --> 00:09:26.730 instructions are what allow it to act autonomously, 00:09:26.730 --> 00:09:28.889 but correctly. OK, so how does this all actually 00:09:28.889 --> 00:09:31.389 work when we use it? What's the flow like? Step 00:09:31.389 --> 00:09:34.529 seven, test it. Once you activate the workflow 00:09:34.529 --> 00:09:37.460 in NET, You go to that chat window you created 00:09:37.460 --> 00:09:40.340 in step one, and you type a message, something 00:09:40.340 --> 00:09:42.740 like, hey, can you send an email to John confirming 00:09:42.740 --> 00:09:45.100 our coffee meeting for 5 p .m. tomorrow? Okay. 00:09:45.279 --> 00:09:47.100 Here's what happens under the hood. The agent 00:09:47.100 --> 00:09:50.200 gets the message, the LMM brain analyzes it and 00:09:50.200 --> 00:09:52.500 decides, okay, the user wants me to send an email. 00:09:52.779 --> 00:09:55.080 Then it thinks, follow your instructions. You're 00:09:55.080 --> 00:09:57.460 not. Right? Rule one, find the email address 00:09:57.460 --> 00:10:00.960 first, I need John's email. Uh -huh. It then 00:10:00.960 --> 00:10:02.919 automatically uses the Google Contacts tool you 00:10:02.919 --> 00:10:05.389 gave it, searches for John. finds him hopefully. 00:10:05.549 --> 00:10:07.470 Let's say it finds him. Great. Then it activates 00:10:07.470 --> 00:10:10.110 the Gmail tool. It uses that magic wand feature 00:10:10.110 --> 00:10:13.570 to pull John's email into the to field, maybe 00:10:13.570 --> 00:10:15.789 coffee meeting confirmation into the subject 00:10:15.789 --> 00:10:17.950 and the details into the body. Then it sends 00:10:17.950 --> 00:10:19.870 the email and finally it pops back into the chat 00:10:19.870 --> 00:10:22.529 and tells you, okay, email sent to John. Wow, 00:10:23.230 --> 00:10:25.629 that's... That's pretty cool to see it string 00:10:25.629 --> 00:10:27.269 all that together. It really is. It shows the 00:10:27.269 --> 00:10:29.769 whole process. So what's the core lesson from 00:10:29.769 --> 00:10:32.590 actually building this simple agent? It really 00:10:32.590 --> 00:10:34.990 demonstrates how an AI agent acts by thinking 00:10:34.990 --> 00:10:37.690 through steps autonomously. Mid -roll sponsor 00:10:37.690 --> 00:10:40.509 read. OK, so that's a working email assistant 00:10:40.509 --> 00:10:43.850 doing tasks that, yeah, would take manual clicks 00:10:43.850 --> 00:10:46.009 and typing. But what if someone listening wants 00:10:46.009 --> 00:10:48.309 to make it even smarter? What are some more advanced 00:10:48.309 --> 00:10:50.070 things you could add? Oh, absolutely. You can 00:10:50.070 --> 00:10:52.690 definitely layer on more capabilities, add more 00:10:52.690 --> 00:10:55.809 tools. Imagine connecting Google Calendar. So 00:10:55.809 --> 00:10:57.529 before confirming that coffee meeting, it checks 00:10:57.529 --> 00:10:59.590 your calendar first to see if you're actually 00:10:59.590 --> 00:11:02.570 free. Oh, smart. Or Google Sheets. Maybe it logs 00:11:02.570 --> 00:11:04.710 details and new contacts. You ask it to email. 00:11:05.230 --> 00:11:07.629 Or Slack. It could send a notification to a team 00:11:07.629 --> 00:11:10.090 channel when an important client email goes out. 00:11:10.529 --> 00:11:13.090 You can also refine that system product way more. 00:11:13.370 --> 00:11:15.470 Handle edge cases, like what if there are two 00:11:15.470 --> 00:11:17.610 John's in your contacts? You add instructions. 00:11:18.049 --> 00:11:20.929 If multiple contacts match, ask the user to clarify 00:11:20.929 --> 00:11:23.389 which one. Building in more nuance. Exactly. 00:11:23.590 --> 00:11:25.570 More sophisticated decision -making. And can 00:11:25.570 --> 00:11:27.590 you build totally different kinds of agents? 00:11:27.870 --> 00:11:29.769 Not just for email, but specific roles, like 00:11:29.769 --> 00:11:32.669 a whole virtual team. Yes. That's where this 00:11:32.669 --> 00:11:34.590 gets really powerful for businesses, I think. 00:11:34.990 --> 00:11:36.809 You could build completely separate workflows, 00:11:37.049 --> 00:11:39.529 each one a specialist. maybe a sales assistant 00:11:39.529 --> 00:11:43.190 agent. Its tools are your CRM and LinkedIn sales 00:11:43.190 --> 00:11:45.809 navigator. Its prompt tells it how to qualify 00:11:45.809 --> 00:11:48.809 leads and draft outreach messages or a customer 00:11:48.809 --> 00:11:52.009 support agent. Tools, your knowledge base, ticketing 00:11:52.009 --> 00:11:55.330 system, prompt, answer FAQs, escalate complex 00:11:55.330 --> 00:11:58.929 issues, a content management agent. You get the 00:11:58.929 --> 00:12:01.750 idea. Each with its own specific tools and crucially, 00:12:01.889 --> 00:12:04.250 its own tailored instructions, highly specialized 00:12:04.250 --> 00:12:07.860 virtual workers. This power, though. It does 00:12:07.860 --> 00:12:10.100 bring up some important questions for me. As 00:12:10.100 --> 00:12:12.259 these tools get more capable, more autonomous, 00:12:12.860 --> 00:12:16.919 what are the big ethical considerations or limitations 00:12:16.919 --> 00:12:18.960 we really need to keep front of mind? Yeah, that's 00:12:18.960 --> 00:12:20.559 super important. Critical points to consider. 00:12:20.659 --> 00:12:23.539 First, data privacy. Obvious one, maybe. When 00:12:23.539 --> 00:12:26.179 your agent uses cloud tools like OpenAI or Google, 00:12:26.519 --> 00:12:28.480 your data is going to third parties. You have 00:12:28.480 --> 00:12:30.279 to understand their data policies. Make sure 00:12:30.279 --> 00:12:31.659 you're comfortable with how your information 00:12:31.659 --> 00:12:33.740 or your customer's information is being handled. 00:12:33.899 --> 00:12:36.750 Right. Read the terms. Definitely. Second, AI 00:12:36.750 --> 00:12:40.549 hallucination. Sometimes these LLMs just make 00:12:40.549 --> 00:12:43.230 stuff up. They confagulate. A clear system prompt 00:12:43.230 --> 00:12:45.950 helps reduce this, but it's not perfect. Your 00:12:45.950 --> 00:12:48.789 agent might invent a contact detail or misremember 00:12:48.789 --> 00:12:51.950 a fact. So especially for critical outputs, you 00:12:51.950 --> 00:12:54.830 need some kind of review or verification. Don't 00:12:54.830 --> 00:12:58.149 trust blindly. Exactly. Third, over -reliance. 00:12:58.320 --> 00:13:00.639 Don't put a hundred percent faith in these agents 00:13:00.639 --> 00:13:03.460 for mission -critical tasks without a human safety 00:13:03.460 --> 00:13:06.360 net or a backup plan. Systems can fail, APIs 00:13:06.360 --> 00:13:09.379 can go down, always have a fallback. And finally, 00:13:09.379 --> 00:13:11.639 accountability. At the end of the day, you are 00:13:11.639 --> 00:13:14.000 responsible for what your agent does. If it sends 00:13:14.000 --> 00:13:16.340 an inappropriate email or leaks sensitive data, 00:13:16.620 --> 00:13:19.379 that's on you, the creator or the deployer. So, 00:13:19.419 --> 00:13:21.960 monitor it. Supervise it. Those are really crucial 00:13:21.960 --> 00:13:24.039 points, so assuming we're mindful of those, how 00:13:24.039 --> 00:13:26.240 do we actually know if our agent is, you know, 00:13:26.419 --> 00:13:28.799 worth it? How do we measure if it's truly helping? 00:13:29.000 --> 00:13:31.279 Good question. You absolutely need to track metrics. 00:13:31.340 --> 00:13:34.139 Think about efficiency. Is it saving time? How 00:13:34.139 --> 00:13:36.240 many tasks is it completing successfully per 00:13:36.240 --> 00:13:39.879 hour or day? Cost. What's the API usage costing 00:13:39.879 --> 00:13:42.200 you? Compare that to the cost of doing it manually. 00:13:43.019 --> 00:13:46.149 Is there a positive ROI? Quality. How accurate 00:13:46.149 --> 00:13:48.149 are its outputs? If it interacts with people, 00:13:48.210 --> 00:13:50.210 what's their satisfaction level? Fewer errors 00:13:50.210 --> 00:13:53.009 than a human. And then the big one, business 00:13:53.009 --> 00:13:55.870 impact. Is it actually moving the needle on things 00:13:55.870 --> 00:13:58.169 like revenue, customer retention, lead generation, 00:13:58.450 --> 00:14:01.570 internal process speed, tie it back to real business 00:14:01.570 --> 00:14:04.210 goals? So what's the single most important caution 00:14:04.210 --> 00:14:06.669 for someone just starting out? Be mindful of 00:14:06.669 --> 00:14:09.250 data privacy and the agent's inherent limitations. 00:14:09.730 --> 00:14:12.210 Don't expect magic. Okay. So let's pull this 00:14:12.210 --> 00:14:14.169 all together. For our listeners, what's the big 00:14:14.169 --> 00:14:16.090 idea we want them to take away from this deep 00:14:16.090 --> 00:14:20.389 dive today? I'd say it's this. An AI agent is 00:14:20.389 --> 00:14:22.870 fundamentally about combining the thought of 00:14:22.870 --> 00:14:26.149 an LLM with the action of automation, but adding 00:14:26.149 --> 00:14:29.070 that really key layer of autonomy on top. Our 00:14:29.070 --> 00:14:31.889 advice, start simple. Build that basic email 00:14:31.889 --> 00:14:34.470 system we walk through. Get comfortable. Then 00:14:34.470 --> 00:14:37.330 gradually add more. tools, more complex instructions. 00:14:37.690 --> 00:14:39.429 Remember that your system prompt those instructions 00:14:39.429 --> 00:14:43.090 is absolutely vital. Be clear, be precise. And 00:14:43.090 --> 00:14:46.960 finally, Test, monitor, iterate. Keep improving 00:14:46.960 --> 00:14:49.100 it based on how it actually performs. And it's 00:14:49.100 --> 00:14:51.100 important to frame this correctly, right? It's 00:14:51.100 --> 00:14:53.559 not really about replacing people entirely. Exactly. 00:14:53.600 --> 00:14:54.960 That's not the goal, or at least it shouldn't 00:14:54.960 --> 00:14:58.120 be. The real value here is augmenting human capabilities. 00:14:58.279 --> 00:15:00.440 Yeah. It's about freeing us up from the tedious, 00:15:00.580 --> 00:15:02.759 the repetitive, the stuff that honestly drains 00:15:02.759 --> 00:15:05.159 our energy. Yeah. So we can focus more on the 00:15:05.159 --> 00:15:07.200 uniquely human things, creativity, strategic 00:15:07.200 --> 00:15:09.679 thinking, empathy, building relationships, genuine 00:15:09.679 --> 00:15:12.299 connection. It should elevate our work ideally. 00:15:12.409 --> 00:15:14.970 Your first AI assistant is waiting. We have hopefully 00:15:14.970 --> 00:15:17.029 given you the foundation, the roadmap. Yeah, 00:15:17.190 --> 00:15:20.309 now it's your turn. Experiment. Explore different 00:15:20.309 --> 00:15:22.230 ways you could use this. Think about your repetitive 00:15:22.230 --> 00:15:25.129 tasks. The future of how we work is definitely 00:15:25.129 --> 00:15:27.870 shifting. And now you're equipped to be part 00:15:27.870 --> 00:15:31.000 of building that future. And that wraps up this 00:15:31.000 --> 00:15:33.600 deep dive into building AI agents. We really 00:15:33.600 --> 00:15:35.480 hope you found some valuable nuggets in there 00:15:35.480 --> 00:15:37.659 today. And until next time. Maybe take a moment 00:15:37.659 --> 00:15:39.919 to consider what's one repetitive task in your 00:15:39.919 --> 00:15:43.279 daily life, big or small, work or personal, that 00:15:43.279 --> 00:15:45.820 could potentially be transformed by an AI agent? 00:15:45.980 --> 00:15:47.940 One that can not only follow instructions but 00:15:47.940 --> 00:15:50.919 actually think and act all on its own? O -Tiro 00:15:50.919 --> 00:15:51.340 music.