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In recent years, the concept of "Agentic AI" has been gaining more and more attention in the world of technology and artificial intelligence. But what does it mean exactly? And how can we use it in everyday life? In this article, we will delve into the topic in a clear way, with concrete examples and practical tools to easily experiment with it.
What is an AI agent?
An AI agent is an artificial intelligence system designed to act autonomously to achieve a specific goal. Unlike a traditional chatbot, which simply answers user questions, an AI agent can make decisions, plan actions, and interact with the world without the need for continuous human intervention.
AI agents can be simple (like a bot that automates email responses) or extremely complex (like a virtual assistant capable of handling complex and dynamic tasks).
Practical example
Imagine you need to organize a business trip. A chatbot might just suggest flight and hotel times. An AI agent, on the other hand, can:
Search for the best available flights based on price and travel duration.
Automatically book a hotel near your meeting location.
Send a reminder with the documents needed for the trip.
Monitor any flight delays and suggest alternatives.
All this happens without you having to manually check every detail.
From Agent AI to Agentic AI
If an AI agent can operate autonomously in a specific domain, Agentic AI is a step further. An Agentic AI system not only performs predefined tasks, but is able to plan, adapt to new situations, and proactively manage complex scenarios without human intervention.
While a single AI agent might handle booking a trip, an Agentic AI system could coordinate the entire itinerary, react to unexpected events, and even optimize costs and times based on user preferences.
A classic virtual assistant can send meeting reminders. An Agentic AI system, on the other hand, could:
Identify the best time for a meeting considering the commitments of all participants.
Automatically book a meeting room and notify guests.
Prepare a summary of the topics to be discussed based on recent emails.
Record the meeting, transcribe it and send a report with actions to be taken.
What is Agentic AI for?
Agentic AI stands out from traditional chatbots because it doesn’t just respond, but performs complex actions on its own. Some industries where it really makes a difference include:
Finance and Investment: AI agents can analyze market data, make financial forecasts, and manage investment portfolios without human intervention.
Medicine and scientific research: AI agents support medical diagnosis, analyze medical records and accelerate drug discovery by examining millions of data points.
Cybersecurity: An AI agent can monitor computer networks in real time, detect anomalies and prevent cyber attacks.
Logistics and supply chain: AI agents optimize transportation routes, predict inventory shortages, and manage warehouses efficiently.
Advanced customer service: While chatbots answer questions, an AI agent can autonomously handle refunds, returns, and complex requests.
A hospital can use an AI agent to:
Analyze patients' symptoms and suggest diagnoses to doctors.
Schedule appointments based on urgency.
Monitor patients' vital signs and alert medical personnel in case of emergency.
How to experience Agentic AI for free and without Code
If you want to try out how an AI agent works without having advanced technical knowledge, there are several free online tools that allow you to create custom agents without programming:
1. AgentGPT (Web-Based AI Agent)
AgentGPT is a web interface that allows you to configure a custom AI agent simply by writing its goal. No programming is needed: just describe the task and the agent will start acting by itself.
Use Case: Create an agent that analyzes market trends and generates weekly reports automatically.
2. Cognosys (No-Code AI Agent Builder)
Cognosys allows you to build AI agents that interact with business tools like email, CRM, and databases, without the need for code.
Use case: Create a virtual assistant that organizes company meetings and sends reminders.
3. ChatGPT with Advanced Features
Using ChatGPT with custom functions (e.g. on OpenAI), you can set up an assistant that stores information and acts based on your requests.
Use case: Create an assistant that plans your workday based on your schedule and preferences.
4. Zapier AI Agents
Zapier lets you create AI-powered workflows without writing code. You can connect your AI agent to tools like Gmail, Google Sheets, and Slack to automate business processes.
Use case: An agent that automatically organizes new contacts from email into a spreadsheet.
Advanced Tools for Agentic AI
For those who want to dive deeper and build more sophisticated AI agents, tools like LangChain and LangGraph offer powerful solutions for developers and enterprises.
LangChain provides a flexible framework for building AI agents that can interact with external data sources, documents, APIs, and custom tools. It allows you to structure complex conversations and improve information management. More details are available on the official website: LangChain.
LangGraph is an extension of LangChain that helps build complex workflows (thanks to graphs) for AI agents, making them capable of managing multiple stages of a decision-making or operational process. This is particularly useful in sectors such as finance, scientific research and industrial automation. More information is available on the official website: LangGraph.
These tools require some technical knowledge, but they open the door to an advanced level of autonomy and intelligence for AI agents.
Conclusion and some video
Agentic AI is a revolution in automation and artificial intelligence, offering powerful tools to improve personal and business efficiency. Thanks to free, no-code tools, anyone can now experiment with AI agents and discover their potential. Try one of the suggested tools and discover how an AI agent can simplify your life!
If you want to go deeper, here are some videos to start with simple explanations and move on to slightly more advanced concepts. All in a simple and clear way:
- Come funzionano gli Agenti LLM - SPIEGATO SEMPLICE (+ esempi reali)
- Agentic Application: come creare agenti AI autonomi con LangChain
- Agentic AI Learning Series
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