AI Agent Full Tutorial for Beginners 2026: How to Build AI Agents in Minutes

0:00 What if I told you that there is a way to build AI agents that's so simple, even if you've never touched AI before, that you can have one running in another 10 minutes? Now, look, I get it. Most AI tutorials assume that you already know the basics or they throw around all these technical terms that make your

0:15 head just kind of spin. But, what if you're starting from zero? What if you don't even know what an AI agent is, let alone how to build one? So, here's the thing. Most people think that AI is just that chatbot you ask questions to. But, imagine waking up tomorrow and finding that something has already sorted

0:30 through your emails and written replies to the important ones and left you a summary of everything you missed. No coding, no technical background, no confusion. And that is exactly what we're building today using a platform called Base 44. And I'm going to walk you through every single click and step

0:47 assuming you absolutely know nothing about AI. So, that by the end of this video, you're not only going to understand what AI agents actually do, but you're going to have built your own personal assistant that monitors your email, drafts responses, and even sends you updates through WhatsApp. So, Base

1:01 44 is one of the best AI agent builders at this moment, and I added a special link down in the description below so you can go ahead and check them out, too. Now, if you want to master Base 44 and learn how to build a profitable SaaS website and a mobile app, of course, with AI, I've created a complete

1:16 masterclass that shows you exactly how to do it step by step. And because you are watching this video, many thanks, you can go ahead and join completely free. Just check out the link in the description below to get free access to my Base 44 masterclass and start building your own AI-powered business

1:31 today. All right, let's go ahead and dive in. So, the first step is getting inside Base 44 and setting up your account. Start by going to base44.com through my own special link down below, then click start building. And from there, you can go through the sign-up process, and the easiest option really

1:45 is usually signing in with your Google account. The whole thing only takes about half a minute or so, so it's pretty quick. And once you are inside, you'll land on the main Base 44 dashboard here. And this is your starting point for everything you build on the platform. Right away, you're

1:59 going to notice two main areas, apps and super agents. For this tutorial, we're going to focus on super agents because that is where you create your own personal AI assistant. But keep in mind that the app side is a separate part of the platform and it's powerful in its own way. So, even though we're not

2:13 building an app in this video, it is useful to know that Base44 can handle both. All right, so from the dashboard, go ahead and click super agents next to the apps button. Now, this is where all of your AI agents will live. And if you create more than one later, this is the place where you'll manage all of them,

2:27 open them, and build new ones, too. But before we go any further, there is one important distinction you want to understand clearly here from the beginning. A super agent and a regular Base44 app are not the same thing. An app is something you build for other people to use. It usually has a user

2:42 interface, a database, user accounts, and all the pieces that you would expect in a product. A super agent is different. This is your own personal AI assistant. It works inside your workspace, connects to your tools, and can actually take action for you. It's not just sitting there waiting for

2:56 someone to click a button. It can run on schedules, it can respond to events, and help handle work in the background. So, the simplest way to think about it is this. The app is the product and the super agent is the employee working behind the scenes. So, that distinction really becomes important here once you

3:12 do start building because it will change the way you think about what you're creating. Here, you're setting up something that can actually do work for you. And the next step is creating your first super agent. This is where the process starts to feel different from most software tools because instead of

3:27 digging through a long list of settings, you simply describe the job that you want the agent to handle. Almost like giving instructions to a new assistant. So, from the super agents page here, click create a new super agent. After clicking it, Base44 will take a moment to generate the workspace. So, give it a

3:43 few seconds while the chat interface loads up. And what you're seeing here is the environment where the agent actually gets built. Instead of navigating complicated settings or writing code, you simply describe what you want the agent to do in plain English. So, you're essentially having a conversation with

3:59 the system, and based on that conversation, it begins setting up the workflows behind the scenes. At the moment, it is asking for a name. So, for this example, we'll keep it simple and just call the agent Devo. And once you start describing the job, Base 44 will begin suggesting the tools, the

4:13 connectors, and the automations that make sense for what you're trying to build. So, here's a prompt that we're going to use. I want to create an agent that monitors my Gmail inbox. So, for this one, our goal is to build something practical, an email monitoring agent. Pay attention to the way the prompt is

4:27 written. There's nothing technical here at all. Instead of saying something like configure email integration or connect the Gmail API, the request simply describes the task. In many ways, it's the same way you would explain a responsibility to a new assistant on their first day. All right, so press

4:42 enter and let the agent create its response. The system will then immediately interpret the request and will begin recommending the next steps. One of the first things it will likely suggest is connecting your Gmail because, of course, the agent needs access in order to monitor incoming

4:56 messages. So, after that, just click connect to Gmail, complete the Google sign-in process, and then grant the permissions it requests. You can also expand the workflow by adding more detail to the prompt. So, let's say, "I want you to monitor my Gmail inbox, and when an important email comes in, draft

5:12 a suggested reply for me. Then send me a daily summary of what came in each morning." So, after a short moment, the agent processes the instructions and starts building the workflow around them. It recognizes the steps required and prepares the necessary connections all automatically for you. Even though

5:28 the response may take a few seconds to generate, that's okay. What's happening behind the scenes is that Base 44 is translating that plain English description into an actual automated system. So, your super agent technically exists at this point, but it still doesn't really know who it is, what

5:43 information it should rely on, or what tools it's allowed to use. All of that is configured inside something called the brain tab, which you'll find here in the upper left sidebar. So, go ahead and click into it and then let the interface sit on the screen for a moment. And the brain tab is essentially the control

5:57 center for your agent. This is where you define how it behaves, what knowledge it has access to, and what external services it can interact with. And everything that shapes the way your agent thinks and operates lives in this section. Inside the brain tab, there are four main areas that control different

6:13 aspects of the agent's behavior. Knowledge, memory, integrations, and payments. Each of these plays a different role in shaping what the agent can do and how it responds when you give it instructions. Understanding these four sections makes it much easier to customize your agent and gradually turn

6:30 it into something genuinely useful. The first section to explore sits inside the knowledge tab and is labeled identity. Expand that accordion so the fields are visible on screen. And this area is where you define the basic identity of your agent. You can give it a name, choose how that name is displayed,

6:45 upload an avatar if you want, and then describe its personality or communication style. At a first glance, these settings might seem mostly cosmetic, but they do actually influence how the agent interacts with you in everyday conversations. If you plan to communicate with the agent regularly,

7:00 especially through channels like WhatsApp or Telegram, having a consistent name and tone makes the interaction just feel more natural. It stops feeling like you're talking to a generic system and starts feeling more like you're actually communicating with a specific assistant that really

7:14 understands your preferences. So, for example, you might prefer an assistant that responds in a short, direct style. And others might want something more, say, conversational and friendly. The personality description allows you to guide that behavior. So, for the purposes of, again, this demo, we'll

7:30 keep it simple and just enter a straightforward name and basic personality style. So, right below the identity section is another configuration area called soul. So, let's expand that section so viewers can see the available fields. And this is where you define the principles that

7:45 guide how the agent makes decisions. It includes instructions about how cautious or proactive the agent should be, how it should behave when it encounters uncertainty, and what kinds of actions it should avoid taking without confirmation. And when you're starting out, you don't need to spend much time

7:59 configuring this. Most beginners leave it fairly simple at first. However, as you begin using your agent more regularly, this section becomes a powerful way to fine-tune its behavior. If the agent ever starts making decisions that you don't like, this is usually the place where you adjust the

8:14 rules that guide it. And below that is the user section. Open it briefly so viewers can see the fields. And this section stores information about you rather than the agent. You can include things like your name, your time zone, your role, or the kind of work that you do. And that information helps the agent

8:29 better tailor its responses and actions to your situation. So, for example, knowing your time zone allows the agent to schedule tasks correctly. Knowing your role or responsibilities can help it frame suggestions or some reason a way that is more relevant to the kind of work you handle each day. So, still

8:45 inside the knowledge tab, expand the section labeled knowledge files. You'll see an upload area where documents can be added. And this is where you give the agent real context about your work or your environment. Instead of relying only on general knowledge, the agent can now reference specific materials that

9:01 you provide here. Typical examples include things like client lists, pricing sheets, internal documentation, company FAQs, or style guides. And once those files are uploaded, the agent can refer back to them whenever needed to answer questions or complete tasks. Now, it is worth noting here that Base64

9:18 currently supports .md and .csv files, while .docx files are not supported, so you may need to convert documents before uploading them here. Providing this kind of reference material dramatically improves how helpful your agent becomes. Without it, the agent behaves like a general assistant. And with it, the

9:34 agent starts to really understand the specifics of your work, which makes its responses far more relevant and accurate. Next, click over to the memory tab here. Memory is one of the features that separates a super agent from a typical chatbot. A standard chatbot often resets every time you start a new

9:49 conversation. Super agents, on the other hand, are designed to build context over time.

10:46 The final major area inside the brain tab is integrations. So, click into that section so viewers can see the available connections. And this is arguably the most important part of the entire setup process if you want your agent to perform real tasks instead of just answering questions. Inside

11:01 integrations, there are two different categories of connections. The first category is built-in services. These are capabilities that come included with every super agent automatically. So, for example, the Base 44 backend allows the agent to interact with internal databases to store files and run backend

11:17 functions. And these services require no additional setup. They're already part of the system. And below that, you'll see the connectors section. And this is where the agent can be linked to external services such as Gmail, Slack, Google Calendar, Google Drive, and Google Sheets. Connecting one of these

11:32 services works through a standard authorization process. And once you do approve the connection, the agent gains permission to interact with that platform. And depending on the integration, it might be able to read messages, monitor activity, schedule events, or generate summaries. Later in

11:46 the tutorial, I'll walk you through the process of connecting some of these services step-by-step. But for now, the goal is simply to see what options are available so that you do understand the range of tools your agent can eventually work with. So, before connecting more services or building complex workflows,

12:02 we need to look at some of the core features built into every Super Agent. These are the tools you'll use most often when interacting with your agent day-to-day. All right, return to the chat view of your Super Agent. And this interface is still the primary way that you're going to interact with the agent

12:16 on a day-to-day basis. So, it is worth understanding how flexible it actually is. At the bottom of the screen here, you'll see the chat input field. This is where you communicate directly with your agent. You can give it instructions, you can ask it to check something for you, or just simply ask it to explain what

12:32 tasks it is currently responsible for. Unlike traditional software where you configure everything through settings panels, this here, with a Super Agent, works more like a conversation. If you want the agent to behave differently, then you often don't need to dig through menus. You can just simply tell it what

12:48 you want. So, for example, you can type something like, "Check my Gmail inbox and tell me if anything looks urgent." Or you could give it a more direct task such as, "Summarize the most important emails I received today." So, instructions like these allow the agent to immediately act on the tools and

13:04 integrations that you've already connected. So, thinking about the agent as a sort of colleague can actually help here. Instead of treating it like a program, imagine it as a very capable assistant. You can ask it questions, assign it work, or update its responsibilities simply by explaining

13:19 what you want. And so, because of that, many adjustments to the agent's behavior just happen naturally through conversation, rather than you having to dig through configuration screens. Another feature built into the chat interface is voice interaction. So, look for the microphone icon in the chat

13:32 input field. Clicking this allows you to speak directly to your agent instead of typing out your instructions. The first time you use it, your browser will ask you for microphone access, so make sure to allow permission and select the correct microphone if you have multiple devices connected. Later in the

13:46 tutorial, when we connect the agent to WhatsApp, this feature will be even more interesting. Next, take a look at the file section in the left sidebar. This area functions as the agent's working file system. It separates from the knowledge files that you uploaded earlier. The knowledge files are

14:01 reference materials that the agent reads from, while the file section is where the agent stores things it creates while performing tasks. So, anytime the agent generates something, anything, whether that's a report, a summary, a document, or a piece of generated content, it can store that output here. If your

14:16 workspace is new, this section may mostly be empty. However, over time, I promise you it will start filling up with files the agent has created as part of its workflows. You may also notice a system folder inside this section, and that folder contains internal configuration files used by the platform

14:31 itself. It's generally not something you need to interact with, but it is useful to know it exists so you don't accidentally delete or modify. Now, one of the most powerful parts of the super agent system lives in the tasks tab, and tasks allow your agent to operate automatically without waiting for you to

14:46 initiate every action manually. Instead of prompting the agent each time that you need something done, you can just define a job once, and then let the agent handle it on its own. And there are two main types of tasks available. The first type is scheduled tasks, which run at specific times, and these could

15:00 be things like generating a summary every morning, preparing a report at the end of each work day, or compiling information every Friday afternoon. The second type is event-triggered tasks. Now, these run when something happens in one of your connected systems. So, for example, a task might trigger when a new

15:17 email arrives, when someone sends a message in Slack, or when a payment is received. So, combining these two types of automation is where the super agent really starts to feel like a real assistant. Instead of waiting for instructions, it can just react to events and then handle routine work in

15:33 the background. So, for example, you can create a task with a prompt like, "Every morning at 7:00 a.m. check my Gmail inbox and send me a summary of important details." Or, you can also create something event-based such as, "Whenever a new client email arrives, draft a suggested reply and notify me."

15:50 And once tasks like these are configured, the agent will start handling them all automatically on its own. So, that shift from manual prompts to ongoing automation is where the real value of an AI agent starts to really show. Right now, the agent is configured internally, but it still needs access to

16:06 the tools you actually use during the day. Connecting external services is what allows the agent to move beyond simple conversations and start interacting with your real workflow. To begin, open the brain tab and navigate the integration section here. Then, scroll until you see the list of

16:21 available connectors. Base 44 displays all of the services that your super agent can connect to. Gmail, of course, is a good place to start because email is one of the most common tasks that people automate with an AI agent. Locate Gmail in the connectors list and then click the connect button beside it.

16:38 After clicking connect, Base 44 will ask you to authorize the integration through your Google account. The screen that appears here is a standard authorization process that you have probably seen before when linking other apps to Google. So, now you sign in to your Google account and approve the requested

16:54 permissions so the agent can access the inbox features it needs. And once the authorization is completed, the system returns you to Base 44 and shows you a confirmation that the connection is active. You will typically see a small indicator confirming that Google has been successfully connected. And now,

17:10 with Gmail connected, the agent can now perform tasks related to your inbox. For example, you can type a prompt like, "Check my Gmail inbox and tell me if there are any emails that look urgent. You can also try something slightly more specific, like summarize the most important emails I received today. And

17:27 since Gmail is now connected to that, instructions like these will turn into real actions rather than just simple text responses. And the same connection process works for many other services as well. You can link tools such as Google Drive, Google Calendar, Slack, Discord, and other supported platforms using the

17:44 same authorization method. Well, I'll show you how consistent this one is. And let's try another one. Locate Slack in the connectors list and click connect. The system will guide you through the same authorization process. And once permissions are approved, Slack will now become available for the agent to

18:00 interact with. If you ever encounter connection issues, such as maybe occasionally happening to depend on network restrictions, then one common solution is simply just trying the connection again or using a VPN. In most cases, the authorization process works without any problems. And once these

18:17 services are connected, your agent can begin using them whenever you give it instructions or when automated tasks require access to those platforms. So, while most integrations rely on the authorization process that you just saw, there are situations where you may want to connect your agent to a service that

18:34 does not appear in the built-in connector list. And this might include a custom internal system, a specialized tool used within your industry, or an API that belongs to a service not directly supported by Base44. Now, for cases like this, Base44 includes a secrets and keys section inside the main

18:49 settings panel. Open the settings area and select secrets and keys. Now, this section allows you to store API keys or credentials securely. Instead of placing sensitive information directly into prompts or configuration text, you store these credentials here, where they are protected. The system saves these values

19:05 as environment variables, which means that the agent can use them when interacting with external systems, while the actual key itself remains hidden from view. So, even though the agent has permission to use the credential in the background, the value cannot be read directly from the interface. So, this

19:22 setup allows the agent to interact with additional services while keeping sensitive access information protected. One of the most interesting features of Base 44 is the ability to communicate with your agent outside of the platform itself. Instead of opening Base 44 every single time that you want to check in,

19:39 you can just message your agent directly from your phone. In the left sidebar of your Super Agent workspace, locate the channel section. You should see an option labeled "Continue on WhatsApp." And for the moment, just show where the button is located so viewers can see it on screen. So, this feature allows your

19:54 agent to live inside of WhatsApp, which means interacting with it becomes as simple as sending a message to a friend. Click "Continue on WhatsApp," and then select "Open WhatsApp." And before doing this, make sure that WhatsApp is already installed and logged in on your computer.

20:12 If WhatsApp is not properly synced with your device, the connection step can sometimes fail. And now, once you click the button, your browser may be redirecting you to a page before opening up WhatsApp. And in some cases, users might see a warning message that says, "Connection is not private." This

20:29 typically happens because of network restrictions. And if that appears, refreshing the page or enabling a VPN usually resolves the issue. After the redirect finishes, WhatsApp will now open up a chat window automatically. And the system will prefill a short activation message for you. All you need

20:46 to do is send that message, and once that message is sent, the connection between WhatsApp and your Super Agent is now activated. And at this point, your agent is now alive on WhatsApp. Also, you can test it by sending a simple message like, "Summarize my latest emails." The response you'll receive

21:03 comes from the Super Agent running inside of Base 44, but it appears directly in WhatsApp, too. And this is one of the key differences between an AI tool and an AI agent. You don't have to open a platform and search for the assistant. The assistant is already present inside the tools that you use

21:20 every day. Another advanced capability is API access, which allows your agent to communicate with systems outside of Base44. Open the settings panel for your super agent and locate the API tab. The API tab provides an endpoint and an authentication key that external applications can use to interact with

21:37 your agent. And this feature is designed for situations where the agent needs to be connected to other software systems. So, for example, you might want a button on your website that sends a request to your agent, or you might want another automation tool, such as Zapier or Make,

21:53 to retrieve information from it. In practice, this means your agent is not limited to Base44 or just messaging apps. Any system capable of making a web request can communicate with it through the API. And most beginners will not need this feature, not right away, but it becomes extremely useful when

22:09 building larger workflows or integrating the agent with custom tools. The final advanced feature inside the brain tab is the payment section, which allows the agent to connect with Stripe. Navigate back to the brain tab and open up the payment section. On screen here, you will see the option to connect Stripe.

22:26 For demonstration purposes only, we'll simply show the connection interface rather than completing the setup. And once Stripe is connected, the agent gains the ability to interact with payment events. It can generate payment links, track incoming transactions, and trigger automated actions when payments

22:41 do occur. So, for example, the agent can automatically send a welcome email after a purchase is completed. It can record the new client in a database, or notify your team that a payment has been received. So, this feature is particularly useful for businesses building customer-facing workflows or

22:59 services where the agent itself becomes part of the product experience. And so, for a personal productivity agent, this type of integration may not be necessary right away. However, for anyone building an agent-driven service or automated business workflow, payment integration allows a system to close the loop

23:15 between transactions and automated actions. After setting everything up now, the best way to understand what your agent can do is, well, to actually use it. Practical examples make it much easier to see how these features just translate into real workflows. So, open up your super agent chat window, and

23:31 since Gmail was connected earlier, the agent already has permission to access my inbox. So, type a simple instruction to test the workflow. Type the following prompt, "Check my inbox and tell me if there's anything that looks urgent." And with that, just allow the agent a moment to process your request and allow the

23:47 response to load completely before speaking. What the agent is doing at this point is scanning the inbox, identifying messages that require attention, and returning a summary. Instead of reading through every single email yourself, you're going to receive a filtered overview highlighting the

24:02 items that matter most. And this can be taken even further. Let's give the agent detailed instruction. "Any email that looks like it needs a reply, draft a response for me and save it as a draft." Now, the agent is not only summarizing messages, but also preparing replies. Instead of starting from a blank screen,

24:18 you'll begin with a drafted response that only needs maybe minor edits before sending. If the system asks for permission to write or create drafts, simply just approve the request so the agent can complete the task. And once the draft appears in Gmail, that means the integration is indeed working correctly

24:34 and that the agent can actively assist with managing email. Email is only one example of how an agent can simplify communication. The same approach works with collaboration tools like Slack. And if Slack has been connected, just go back to the chat interface and type in another instruction. Maybe something

24:51 like this, "Summarize what happened in my Slack workspace today." And if Slack has not been connected for the demo, you can still type the instructions and then explain what you want to happen once the integration is active. Busy Slack workspaces can quickly become overwhelming. There's multiple channels

25:07 and ongoing conversations and constant notifications that often make it difficult to identify what actually matters. So, instead of scrolling through everything manually, you can just ask the agent to summarize activity and then highlight the messages that require attention. You can also expand

25:24 the instruction slightly by saying, "Summarize what happened in Slack today, especially anything flagged as urgent, and draft replies where necessary." So, when Slack is properly authorized, the agent can now read channel messages, it can identify key updates, and even prepare responses for you. If the

25:41 platform asks for permission to access the Slack workspace, of course, approve the request so the agent can read channel history and respond where needed. Once a response appears in Slack, that just shows how the agent can act as a filter between you and a constant stream of messages. Another

25:57 useful workflow is generating a daily summary of activity. And this is something many people wish they had, but very few take the time to compile manually at the end of each day. The agent can handle that automatically by using scheduled tasks. Open the tasks tab and create a new task instruction.

26:14 Type the following prompt. "Every weekday at 6:00 p.m., generate a summary of what I got done today based on my calendar and any files I updated." And once that task is active, the agent will collect information from connected tools, such as your calendar, email, and messaging platforms, and then compile

26:31 that information into a concise overview of what happened during the day and what still requires attention. Another example can look like this. "Every day at 12:05 p.m., generate a summary of what I received in my email and Slack, and what I should do next." So, after running the task, the agent will deliver

26:47 the summary in multiple places, depending on how your channels are configured. So, for example, the report might appear in the chat interface in Telegram or even through WhatsApp. In a typical summary, the agent might list upcoming calendar events, highlight important emails that require action,

27:03 and summarize any major conversations from Slack. It may also include sections identifying completed tasks and areas where follow-up is needed. And this type of automated overview makes it much easier to really stay organized without manually reviewing every system that you use. And the final example moves away

27:21 from personal productivity and into more business use cases. For anyone running a product or service, customer support often involves answering the same types of questions repeatedly. An AI agent can assist by handling routine requests automatically. When a Base44 application includes users, the super agent can

27:37 monitor incoming support messages and generate draft responses. Simple questions can be answered automatically, while maybe more complex requests can be flagged for review. So, this works especially well when the agent has access to a well-prepared knowledge base. Uploading FAQ documents, product

27:53 guides, and response templates allows the agent to reference that material when responding to customers. And over time, the agent just becomes more capable of handling a large portion of routine support interaction. Only the more complex cases need to be reviewed manually. In setups like this, the

28:08 Base44 app will be the product that customers interact with, while the super agent acts as the operational layer running behind the scenes. So, at this point, your agent can already do a lot, but the results depend on how clearly you instruct it. So, the biggest difference between a useful agent and a

28:25 confusing one usually comes down to the prompt. Vague prompts lead to vague results. For example, "Check my email sometimes." That instruction doesn't tell the agent when to check, what emails matter, or what to do with that. So, a stronger prompt can look like this. "Every morning at 7:00 a.m., check

28:41 my inbox, flag anything from a client, draft a reply for my review, and ignore promotional emails." So, this works much better because it defines three things: when to run, what to do, and what to ignore. Another example is this one. When an email arrives from a client, mark it as important, draft a reply for

28:57 me, and do not send it automatically. Agents follow instructions very literally. So the clearer your instructions are, the more predictable the results will be. Another common question is whether you should use one agent or several smaller ones. Starting with one agent is usually the easiest

29:14 option. It keeps things simple and helps you understand how the system works. As your workflows grow, you may find it easier to create specialized agents. For example, one for email, one for calendar management, and maybe another for business tasks. Splitting them up makes troubleshooting easier and also keeps

29:30 each agent really focused on a specific job. A practical setup for many people is having one personal productivity agent and one business agent. Start with one and only split things up once it begins handling too many unrelated tasks. Before using your agent heavily, it is important to understand how

29:46 credits work. Base44 uses two types of credits here: message credits and integration credits. Message credits are used when you chat with the agent. Integration credits are used when the agent interacts with external tools like Gmail, Slack, or Google Calendar. For example, every time the agent checks

30:02 your inbox or sends a Slack message, it consumes integration credits. And credits reset each billing cycle and unused credits do not roll over. So because of that, it's a good idea to experiment with tasks and workflows while you still have credits available in your cycle. If something doesn't work

30:17 as expected, there are a few simple things to check first. Open up the tasks tab and make sure the task is active. Tasks sometimes remain in draft mode and never run. Second, check the integration section. If Gmail, Slack, or another service does stop working on their end, the connection may need to be

30:33 reauthorized. If responses feel vague or incorrect, review the sole section in the brain tab. Adding clearer guidance there often fixes behavior issues. You can also ask the agent directly, "Why did you handle that email this way?" And then the explanation often reveals what instructions are missing or unclear. In

30:49 many cases, troubleshooting simply means giving the agent better context. All right, that is the full walkthrough, and what you do with it from here on out is really up to you. Some people use agents to clean up their inbox, others use them to track projects, watch Slack channels,

31:03 or generate daily summaries so they don't have to dig through five different tools. The point here is that once this is set up, it's not something you constantly baby sit. You give it responsibilities, you check in occasionally, and then you let it handle the routine stuff. And now, if you

31:17 followed along and built out your own agent, that's great. You're already ahead of most people experimenting with AI right now. And if you are planning to push this further, there is a lot more you can do with it once you start connecting more tools and building bigger workflows. And of course, I want

31:32 to thank you for staying around till the end and investing your time with me today. I'll see you with the next one.