AI technologies such as LLMs and image generators, although fundamentally useful and functional, remain as external resources unless you integrate them into your company. After all, you cannot write project proposals with an LLM who does not know and understand your project data. Or you cannot complete data analysis tasks with an AI chatbot that does not have your company data. Fortunately, thanks to AI agents, it is possible to integrate AI technologies into your company and use them effectively. If you do not know what AI agents are and are wondering about the benefits they can provide to your company, we’ve got you covered!

In this article, we will explore what AI agents are and their advantages!

Ready? Let’s dive in!

TL; DR

  • AI agents are AI employees who can make their own decisions to perform tasks assigned by users and report tasks instead of performing them when they do not have enough data.
  • AI agents combine technologies such as natural language processing, deep learning, and machine learning.
  • The biggest difference between AI and AI agents is that AI cannot make decisions independently and analyze internal data, while AI agents can analyze company data and perform tasks autonomously.
  • AI agents offer their users benefits such as accuracy, consistency, 24/7 availability, efficiency, data analysis, and personalization.
  • If you are looking for an AI agent that offers features such as multiple LLMs, powerful RAG, knowledge bases, individual personas, and web search that you can integrate into your custom workflow, TextCortex is the way to go.

What are AI Agents?

AI agents are a type of AI that can understand user inputs, perform the task they are assigned to, take action according to their roles, and perform all functions through data determined by users. You can give AI agents objectives, train them with specific data, and assign roles to them according to your organization's needs. After training AI agents with specific data, you can automate your tasks by assigning them tasks and enabling the AI ​​agent to make decisions on its own.

How do AI Agents Work?

AI agents combine technologies such as natural language processing, machine learning, and neural networks, and continue self-training based on feedback from users. In addition, since you can train AI agents with your organization’s data, they can accurately answer company-specific questions. For example, when you ask an AI agent, “What are the best-selling products of the last three months?” the AI ​​agent examines all your data, reaches the sales figures, and lists the products with the highest sales figures.

What is the Difference Between AI and AI Agents?

The difference between AI and AI agents is that AI produces generic outputs that are suitable for everyday use, while AI agents generate company-focused outputs by integrating with a specific company. Traditional AI tools do not provide input with your company data, so you cannot get the final output that is completely customized and that you need. However, once AI agents are trained with your company data, they completely integrate with your company's changing data pool and always keep themselves up-to-date, generating the outputs that you need.

Types of AI Agents

AI agents have 6 different types depending on their purpose and functionality:

  • Simple Reflex Agents
  • Model-Based Agents
  • Utility-Based Agents
  • Goal-Based Agents
  • Learning Agents
  • Hierarchical Agents
Types of AI Agents

Benefits of AI Agents

AI agents, like any other AI technologies, offer lots of advantages to their users. The most distinctive feature of AI agents that distinguishes them from other AI tools is that they generate company or organization-oriented output, not user-oriented. They can understand business processes, generate project documentation, analyze large amounts of internal data, and use them to create insights, documents, etc. Let's take a look at the benefits of AI agents.

24/7 Availability

AI agents can provide 24/7 service without the need for breaks, feeding or sleeping and can continue to automate tasks. Depending on your use of the AI ​​agent, it always continues to serve customers, employees, or other users. For example, by leveraging AI agents in your company's customer service, you can provide your customers with customer service that is reachable and offers solutions 24/7.

Consistency

AI agents follow processes and procedures, comply with user-specified parameters and commands, and perform the same results every time. Thus, you can be sure that you will always get the same quality and consistency of output when automating your repetitive tasks.

Accuracy

AI agents can perform repetitive and procedural tasks while minimizing human error and can make accurate decisions using company data. As long as you keep your AI agent's data source up-to-date and complete, they will continue to generate accurate output. Compared to first-generation AIs, AI agents can analyze their data while generating output and determine that they do not have enough information to make a decision.

Data Analysis

AI agents can process massive data sets for analysis tasks such as long-range planning, fraud detection, FAQ creation, and predictive analysis. Moreover, AI agents help you analyze your organization’s data and use it in different ways.

AI agent data analysis

Efficiency

AI agents can automate a wide range of tasks and processes, freeing up human employees to focus on more critical aspects of your organization. In today's business world, completing repetitive tasks with human labor is often a boring, inefficient, and creativity-reducing choice. With AI agents, you can automate all repetitive tasks and lead your employees to think more creatively.

Personalization

AI agents can automate a wide range of tasks and processes, freeing up human employees to focus on more critical aspects of your organization. In today's business world, completing repetitive tasks with human labor is often a boring, inefficient, and creativity-reducing choice. With AI agents, you can automate all repetitive tasks and lead your employees to think more creatively.

AI Agent Personalization

TextCortex : All-in-One AI Agent

If you want to skyrocket the productivity of your employees and your company, then TextCortex is designed for you with its features such as data analysis, powerful RAG (Retrieval-augmented generation), multiple LLMs, image generation, custom knowledge bases, 30,000+ integrations, web search, and individual personas. TextCortex is designed to automate repetitive tasks of enterprise and company users and streamline their workload by integrating them into their custom workflows. TextCortex is available as a web application and browser extension that is integrated with 30,000+ websites and apps.

See the results from one of our case studies:

  • TextCortex was implemented for KemĂ©ny Boehme Consultants as a solution to tackle these challenges and today employees report increased efficiency and productivity (saving 3 work days per month per employee on average).
  • AICX, an ecosystem partner of TextCortex, was integral to the onboarding and helped achieve a 70% activation rate of the team within the first weeks.
  • Employee confidence in using and working with AI increased by 60%.‍
  • The implementation results in a 28x return on investment (ROI).

Frequently Asked Questions

What do you mean by AI agent?

Unlike first-generation AIs, AI agents are software programs that can interact with their environment, collect data, and use data for self-determined tasks. AI agents analyze the data they are integrated with, examine outcomes, and choose the best actions to perform tasks and achieve the goals to complete the assigned task in the most efficient and high-quality way.

Is ChatGPT an AI agent?

ChatGPT is not an AI agent, it is a large language model that acts as an AI chatbot or co-pilot. ChatGPT can engage in conversation and help with generating content but cannot perform tasks independently or take actions on their own. It is possible to think of ChatGPT and its LLM models as an engine that powers AI agents. If you are looking for an AI agent that utilizes LLMs such as ChatGPT-4o and Claude 3.5 Sonnet and performs your tasks via LLM with maximum efficiency, you can check out TextCortex and its advanced features.

What is an AI agent in real life examples?

AI agents are ideal solutions for companies to perform invisible tasks that remain in the background. The most common type of AI agent you will encounter is AI chatbots used in customer service. AI agents that you will integrate into your customer service can provide 24/7 service to customers by analyzing all solutions in company data and potential problems of the customer. You can also save time by integrating AI agents into your employees' workflow. Let's take a look at a real-life example of an AI agent:

  • TextCortex was implemented for KemĂ©ny Boehme Consultants as a solution to tackle these challenges and today employees report increased efficiency and productivity (saving 3 work days per month per employee on average).
  • AICX, an ecosystem partner of TextCortex, was integral to the onboarding and helped achieve a 70% activation rate of the team within the first weeks.
  • Employee confidence in using and working with AI increased by 60%.‍
  • The implementation results in a 28x return on investment (ROI).