How to Build Your First AI Agent in 15 Minutes (No Coding Required)

Tin Rovic · Beginner ·🧠 Large Language Models ·8mo ago

Key Takeaways

The video demonstrates how to build an AI agent using the GPT Bots platform, which utilizes large language models like GPT5 from OpenAI, and tools like Tavi for internet search and Google Trends for finding trends, all without requiring coding knowledge.

Full Transcript

What if I told you that you could build a powerful AI agent that connects to your business's data, automates complex workflows, and handles customer interactions all in under 15 minutes. And best part, without writing a single line of code. Well, stick around because I'm about to show you exactly how to do that with one unique platform that I'm about to show you that's pretty much changing the game for businesses worldwide. Today, we're diving into a platform that I've been using for some time to build my AI agents for my business and for my clients. Now, we're going to be building your first AI agent using a platform called GPT Bots. This is a platform specifically designed for businesses who want powerful automation without any technical complexities. Now, I want to be clear. We're not talking about simple chat bots here. We're talking about real AI agents. We're building intelligent agents that can automate workflows that can connect your existing business systems, tools, and complete complex tasks autonomously. So, that's something that we're going to be covering in this video. Obviously, before we jump in, let's talk about one big problem. Traditional chatbots are limited. They can, you know, answer basic questions, but they can't actually do anything meaningful for your business. What if you need an agent that can access your CRM data, update customer records, maybe even schedule appointments, and maybe even provide personalized responses based on your company's knowledge base, right? So, that's where most solutions fall short, and they don't deliver. But here's what makes GPT Bots different. It's built as an enterprisegrade platform from the ground up. This means it can securely connect to your company's own data sources, whether that's your, you know, CRM, internal knowledge base or other business tools and other business systems as well. Plus, it's also designed for scalability and security, which, you know, it makes it a reliable solution for anyone that wants to grow their business. All right, so let's build our first AI agent. I'm going to head over to gptbots.ai and sign up for free. Now, the beauty of this noode platform is that regular businesses or regular business users can easily build powerful agents without any technical background which is super super sweet. Now, once I'm logged in, I can see the dashboard uh and I can see that it's incredibly intuitive. Now, what I love about GPT bots is that it emphasizes agent capabilities right from the start. So, this isn't just about chat. It's about creating that AI agent and intelligent automation. Now, I'm going to create a new agent here. So, let's say I want to build a customer service agent for my real estate agency. That's what we're going to be building. Now, first what I'm about to do is I'm going to click new agent and I'm going to start from scratch. Here I'm going to select the type of agent I want to create which is going to be agent since we're creating only an agent for customer support. And as you can see you have option for flow agent which is a multi- aent. These are like more advanced agents which you can also create alongside of these normal agents that they have available. Next up, I just add the agent name, description, and we're pretty much good to go on the creation side. Now, here's where it gets really powerful. I can connect this agent to pretty much anything. And when I say anything, I mean anything. But let's first start with the basic setup of the agent. Now, if we go over to LLM, we can select which type of large language model we want to use. For example, I'm using the most powerful model from OpenAI, which is GPT5. This is the most powerful model that we can use currently. Second, we have to create an identity prompt. Um, this is just simply a brief description of what your agent will be capable of doing. And I have my prompt already ready inside of my document. Uh, so I'm just going to be copying and paste it right here, as you can see. Now, if I want a more extended and better version of my Identity Pro, I can simply head over to the AI button in the right corner, I can click it. And from there, it extends my prompt into a more efficient prompt, as you can see right now on the screen. Okay, so now that we have a prompt ready, let's go over to more advanced features. And don't worry, it's incredibly easy to set up everything. Just follow along. And yeah, that's pretty much it. Okay, so next up is knowledge base or the brain of the entire agent. Now we need to head over to knowledge base and then we just need to click documents and here we can create our knowledge base folder as you can see uh right now on the screen. Now what I did here is I named it in in there I added a knowledge base. I just selected text format and I uploaded my PDF that contains the entire instructions and brain for this particular agent since we're building a customer support agent. That's what we're doing. Once I upload that, I can also select which embedding model I want to use. I usually use text embedding 3 small uh because this is an embedding from OpenAI since we're going to be using GPT5 for this as well. Now if your PDF consists of a lot of images and you know stuff like that what you can do is you can use advanced recognition below it will help you break down the data into smaller chunks and parts which is easier for uh you know the knowledge base or for the AI agent to read that data. So now that we have knowledge base and it's currently learning as you can see we'll go back to our agent configuration panel and we're simply going to add the knowledge base we have there. Okay. Now each agent has its own database too. Since we're building an agent that will serve as a customer support assistant for a real estate agency. We need a database in order to add details for each property uh we're selling and each property type that we have. For that we simply head over to the database, hit create and here we can create a data table. So I just simply name the table. I add the description and click AI chat add. This will give me opportunity to just copy and paste all of my properties that I have uh from my document to the database. So it's pretty clean. It's pretty simple. That's what you need to do. Then what I do is I simply map out what I want inside of my database. So just like with any knowledge base, I go back to the agent configuration panel and I simply add the database that we just created and I obviously turn it on. Now basic AI chatbots don't have the ability to connect as many features to it to make them smarter. So since we're using this platform to create real AI agents, we can also add workflows to trigger when a user asks a certain question or when a user does a certain action. So workflows can be tricky, but I'm going to be showing you how to build a very simple workflow that searches the internet whenever someone like a user inputs a specific query in your AI agent. Okay. So, we'll go back, head over to workflows, create workflow, and then here we name the workflow and we simply click okay. So, from there, once we click on the first card, which is the start, we just want to make sure that we are adding a string as an input. Okay. Now, from there, we're simply connecting a tool which is another node. So in this case tool that we are using for search will be called Tavi. Now you don't have to know about this tool. It's just a great tool for searching the internet. And here we simply want to set up the input. We add the query to be from our start node. Uh max results will be one because we only want one result per query. And we also want to include the answer but without the raw content. Okay. And then we connect that node to our last node which will give an output from the answer from the tool we connected in the middle node. So I hope this makes sense by the way while I'm explaining. Uh if you have any questions you can always comment below and then we simply hit publish and we are good to go. Now once this is done, just like with the database and knowledge base, we add the workflow and connect it in our own configuration panel for our agent. Now, this definitely isn't needed. However, workflows can make your agents really smart and very efficient at the same time. So, just keep that in mind while you are building the next AI agent. Now, we've just added an integrated Tavi as our tool in our workflow. We can do the same thing within our own agent. So instead of using tools in workflows, you can simply use them and integrate them inside of your AI agent. So go to tools, add tools, and simply browse and find a tool from the list. We use Google Trends for this example. So we're not using Tavi again. So in this case, Google trends can find best possible trends for specific queries such as you know what is the trend of the real estate market in North Carolina and then it will give us that trends within North Carolina. Now I have to stress this out although this could be a finished agent and finished product always taste your agent uh in the debug console like I'm doing right now as you can see on the screen. ask questions, test different scenarios, and simply check how it acts on certain inputs. This is extremely important. Now, let's say you have an agent ready to be published, and it's all good. You just hit publish and from there, uh, you have quite a lot of options when it comes to the deployment of your agent. So, there are many agent integrations as you can see right here on the screen. Now, the most important thing here is to understand that this platform is really great if you want to set up an agent for your business or maybe for your clients as well because it gives you so many options and it's very easy. Now, you can choose from many options like Slack, WhatsApp, Discord, Telegram, and you can even create an API and then integrate it with your own custom app if you want to go that far away. Right? It's amazing to be honest that you can have these features available. So honestly, it's pretty crazy what you can do with this platform, especially for your business or even for your clients. You can build pretty autonomous AI agents and advanced AI agents without writing a single line of code, which is pretty good. So, uh yeah, if you want to check out this platform for yourself, click the first link in the description. If you want to start building those really, really sophisticated AI agents, this platform is the best platform for building your first intelligent agent today. Now, I have to say, you know, as someone who's tried multiple different platforms and as someone, you know, who has been using AI platforms for right now couple of years already, um I can definitely tell that the capabilities and what you can do with this platform is really sophisticated, advanced. So yeah, it was really really great using it and yeah, I'm genuinely exciting for businesses looking to leverage AI effectively and yeah, I think this is pretty pretty exciting. Now, if you find this helpful, make sure to like this video, subscribe for more AI and business automations. Now, let me know in the comments what agent you're trying to build next. I would love to hear some of your ideas and I can also give you some of the feedback points for my side and my point of view. Now, obviously, thank you guys for watching. We'll see you in the next one. Bye-bye.

Original Description

🎁 Start your free trial today: https://cutt.ly/VrNdovtM (Complete phone verification after signing up to unlock $50 worth of registration rewards.) Ready to build a real AI Agent (not a basic chatbot) in 15 minutes? In this step-by-step tutorial, you’ll create an enterprise-grade GPTBots Agent that can connect to your business data, run automated workflows, and act proactively across your stack. What you’ll learn • Create your first Agent with a clean no-code builder • Connect securely to real business data such as CRM, internal docs or product databases • Configure advanced capabilities so your Agent can execute workflows, update records, schedule appointments, trigger actions, and more • Add a Knowledge Base (RAG), Database tables, and external Tools like search or trends • Build a simple Workflow (Tavily search example) and wire it to your Agent • Deploy your Agent to Slack, WhatsApp, Discord, Telegram, or via API • Test, debug, and harden your Agent for scalability and enterprise-grade security Timestamps: 00:00 Introduction to building AI agents without coding using GPT Bots platform 02:32 Signing up for GPT Bots and exploring the intuitive dashboard 03:15 Creating a new customer service agent for a real estate agency 04:10 Configuring the LLM model and setting up the agent's identity prompt 05:14 Setting up knowledge base with document upload and embedding models 06:22 Creating a database for property details and real estate data 07:43 Building workflows with internet search capabilities using Tavi tool 09:52 Adding tools like Google Trends directly to the AI agent 10:34 Testing the agent and exploring deployment options 12:16 Final thoughts on the platform's capabilities and business applications Why Agents beat chatbots Chatbots answer questions. Agents get work done connecting to business systems, following rules, and completing multi-step tasks autonomously. Resources • GPTBots https://www.gptbots.ai/signup?utm_source=kol=fuelyourdigital Business in
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This video teaches viewers how to build a real AI agent in 15 minutes without coding, using the GPT Bots platform and large language models like GPT5. The agent can automate workflows, connect to existing business systems, and complete complex tasks autonomously. By following the steps outlined in the video, viewers can create their own AI agent and start leveraging AI effectively in their businesses.

Key Takeaways
  1. Sign up for free on gptbots.ai
  2. Create a new agent on the dashboard
  3. Select the type of agent to create
  4. Add the agent name and description
  5. Connect the agent to data sources
  6. Copy and paste the prompt
  7. Extend the prompt with AI assistance
  8. Create a knowledge base using a PDF with text format and embedding model
  9. Upload a PDF to the knowledge base
  10. Select the embedding model
💡 The GPT Bots platform allows businesses to build powerful AI agents without writing code, making it a reliable solution for businesses to automate workflows and complete complex tasks autonomously.

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Chapters (10)

Introduction to building AI agents without coding using GPT Bots platform
2:32 Signing up for GPT Bots and exploring the intuitive dashboard
3:15 Creating a new customer service agent for a real estate agency
4:10 Configuring the LLM model and setting up the agent's identity prompt
5:14 Setting up knowledge base with document upload and embedding models
6:22 Creating a database for property details and real estate data
7:43 Building workflows with internet search capabilities using Tavi tool
9:52 Adding tools like Google Trends directly to the AI agent
10:34 Testing the agent and exploring deployment options
12:16 Final thoughts on the platform's capabilities and business applications
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