In the video, you can see how a HybridAI ChatBot begins to step out of its chat box and starts controlling elements on the embedding website.
While this is not yet “agentic” in the way many imagine, it is a very pragmatic step from an AI chatbot that only talks to one that can actually take action. The value of website chatbots in customer interactions increases significantly with such functionality.
(Why This Year Marks the Great Leap from Conversation to Execution)
For decades, chatbots have been defined by their ability to converse. In the earliest days—dating back to the 1960s with ELIZA—they served mostly as novelty acts, reflecting user input through simple, scripted replies. Then came rule-based systems in the 1980s, followed by the deep-learning chatbots we rely on today. But 2025 is shaping up to be a watershed moment for chatbots: they are no longer just talking; they’re starting to take action on our behalf.
Until recently, even the most advanced chatbots focused on interpreting user queries and offering relevant responses. Ask a chatbot what the weather is, and it gives you the forecast. Ask it for a recipe, and it might provide step-by-step instructions. These interactions improved dramatically thanks to deep learning and transformers, making conversation feel more natural. But fundamentally, they were still just “answer machines.”
Now, we’re witnessing the next evolution. Instead of limiting themselves to text-based chats, new-generation chatbots have the potential to perform tasks. Rather than just telling you the weather, they might turn on your smart heater. Rather than just suggesting a recipe, they could order your groceries from a partnering store. These systems are sometimes referred to as “agentic chatbots,” because they have the autonomy to act as an agent on your behalf.
One prime example leading this charge is HybridAI. It’s designed to do more than talk: it can call specific API-actions during a conversation and even manipulate elements on the hosting web page if a user requests it. Imagine you’re browsing a shopping site and you ask the chatbot to add a particular item to your cart or apply a promotional code. Instead of replying with a link or instructions, the chatbot can just do it for you. This is a substantial leap from a typical conversation-only assistant.
HybridAI’s capabilities highlight a crucial point: people want chatbots that actually solve problems, not just talk about them. We’re seeing the dawn of chatbots that can handle everyday tasks—everything from scheduling calendar events to navigating complex enterprise workflows—at the user’s command.
The term “agentic systems” is currently a hot topic. Experts, tech enthusiasts, and enterprise leaders alike are buzzing about how AI-driven assistants may soon become fully autonomous, capable of orchestrating multiple APIs, services, and even hardware devices in the background. While these discussions are exciting, the reality is that it will take time to refine and scale these capabilities. Questions around reliability, security, and ethics must be addressed before chatbots gain wide autonomy across critical domains.
Nonetheless, 2025 is shaping up to be the Year of Chatbot Action, the tipping point where the first wave of agentic systems begins to enter mainstream use. We’ll see more prototypes and pilot programs adopting these features, proving the concept and building trust with end-users. Like every transformative technology, it won’t happen overnight. But it’s closer than many realize—and it’s sure to reshape how we interact with both the digital and physical worlds.
The impact of action-capable chatbots is enormous. Businesses will gain efficiency by reducing repetitive workflows; end-users will enjoy seamless convenience in everyday tasks. If you think about it, the shift from just “talking” to “doing” echoes the broader trend in AI: we want collaborative, proactive, and truly helpful systems.
We might still be a few years out from fully autonomous agentic systems, but the seeds are planted. Tools like HybridAI show us the immediate possibilities—chatbots can learn your needs, integrate with apps you use, and execute tasks in real time. In short, the future is already making its way into the present. And if 2025 is indeed the “Year of Chatbot Action,” imagine how much further they’ll go by the end of this decade.
Exciting times lie ahead.
In the digital world of 2025, a website chatbot is no longer just a nice-to-have feature but an essential tool to improve customer experiences and streamline business processes. But what makes a truly great chatbot? Here are seven things a modern website chatbot must be able to do in 2025:
A chatbot should be able to independently crawl the website and extract relevant links. This allows it to respond directly to queries like “Where can I find the return policy?” or “Show me the latest offers” with appropriate deeplinks. This saves users time and simplifies website navigation significantly.
Modern chatbots must seamlessly interact with website features. For example, users should be able to check the status of an order or initiate a return directly within the chat. This is enabled by function calls, allowing the chatbot to access APIs and other technical interfaces of the website.
A good chatbot recognizes the user’s preferred language and adapts accordingly. Whether the user speaks German, English, or another language, the chatbot should effortlessly start the conversation in the correct language. This function significantly improves the user experience and makes the chatbot globally applicable.
Even the best chatbot sometimes reaches its limits. In such situations, it is essential that users can easily switch to speaking with a human agent. Even better, the chatbot should facilitate this transition smoothly by passing on all relevant information to the agent. AI-powered human takeover options can further optimize this process.
A truly versatile chatbot should be able to analyze uploaded materials such as product PDFs, price lists, or presentations and derive accurate information from them. This enables it to answer questions about technical specifications, pricing, or other details directly. This function is especially valuable in complex B2B scenarios.
Communication should take place where the user feels most comfortable. A modern chatbot is not only available on the website but also on channels like WhatsApp, Instagram, or Telegram – with the same functionality. This flexibility ensures that users can use the chatbot on their preferred platform without compromising performance.
As AI models continuously evolve, a chatbot should be configurable with various large language models (LLMs). This allows businesses to benefit from advancements in AI technology or, if needed, use European AI models to meet data protection requirements and regional regulations.
The demands on chatbots in 2025 are higher than ever. From smart navigation via deeplinks to multichannel functionality and the use of the latest AI technologies – a high-performing chatbot offers far more than just simple answers to standard questions. Companies that focus on these seven features can ensure they not only meet user expectations but are also future-proof.
In today’s digital world, chatbots are not just useful but often indispensable. Companies and individuals alike benefit from the ability to answer questions quickly and efficiently, enable personal interactions, and automate tasks.
We take a look at the seven best AI chatbots shaping the market in 2025.
HybridAI stands out with its unique combination of emotional understanding and human takeover. Unlike other bots, HybridAI detects emotional triggers and can involve a human operator to handle complex or sensitive issues. It supports multiple AI models like OpenAI, LLaMA, and Gemini, offering tremendous versatility. Additionally, HybridAI can integrate with the advanced European AI models Teuken and Occiglot, a decisive advantage for certain applications.
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Conclusion: For those looking for cutting-edge AI features and a chat communication system where humans intervene when it matters most, HybridAI is unparalleled.
ChatGPT by OpenAI remains a giant in the AI space. It impresses with its naturally sounding responses and extensive language capabilities. However, it is limited to the OpenAI model, which can lead to constraints for specific requirements.
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Conclusion: Ideal for simple to moderately complex tasks that require fast and precise answers.
UserLike has established itself as a strong partner for customer support. It combines AI-driven responses with the ability to transfer conversations to a human agent.
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Conclusion: A solid choice for companies primarily focused on customer support with a well-established solution where the latest AI features are not a priority.
ChatBase offers advanced training capabilities and excels with its versatility. It’s particularly appealing for companies that need a highly customized chatbot.
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Conclusion: Perfect for specific and complex requirements.
Intercom is known for its seamless integration into enterprise environments and CRM systems. It supports high-level customer support but lags behind in AI capabilities.
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Conclusion: An excellent choice for large enterprises with specific integration requirements.
MoinAI specializes in email and chat marketing automation, offering AI-powered solutions for customer interactions. It’s especially popular among small and medium-sized businesses.
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Conclusion: An excellent choice for companies looking to optimize marketing and customer interaction. However, it may not be the best option for those focused on cutting-edge AI functionalities.
IBM Watson Assistant excels with its enterprise features and seamless integration into various platforms. Its powerful AI algorithms and customization options make it a top choice for large enterprises.
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Conclusion: Ideal for enterprises seeking a highly customizable and scalable AI bot.
Choosing the right chatbot depends heavily on individual requirements. HybridAI stands out for its emotional intelligence and privacy features, while ChatGPT shines with its language skills. Companies focused on customer support should consider UserLike or Intercom, while ChatBase excels with its training capabilities. MoinAI offers a specialized solution for marketing and customer communication, while IBM Watson Assistant impresses with enterprise features and scalability.
In 2025, there is more choice than ever, and the perfect solution awaits your needs.
The history of electronic chat systems began in the 1960s when Joseph Weizenbaum, a pioneer in computer science, developed ELIZA. This simple program simulated a psychotherapist by paraphrasing user input. Despite its limited functionality, ELIZA captivated its users profoundly. Many people felt understood—a reaction Weizenbaum himself found alarming. This early experience demonstrated how deeply the human desire for empathy and emotional connection can be triggered, even by rudimentary technology.
Try Eliza yourself! With HybridAI, we’ve recreated this famous (but admittedly quite annoying) first chat system: Chat with Eliza
Joseph Weizenbaum and the Limits of Technology
Weizenbaum initially developed ELIZA as a tool to demonstrate artificial intelligence but was so disturbed by the users’ reactions that he later became a critic of the technology. In his book “Computer Power and Human Reason” (1976), he warned that humans tend to attribute human characteristics to machines and emphasized that technology could never replicate the depth and complexity of human empathy. For Weizenbaum, it was clear: technology alone cannot establish genuine interpersonal relationships.
Sherry Turkle: Putting People at the Center of the Digital Revolution
Psychologist and sociologist Sherry Turkle expanded on Weizenbaum’s critical insights by exploring how humans connect with technology in the digital age. In her books, such as “Reclaiming Conversation” and “Alone Together”, Turkle argues that while technology facilitates communication, it often comes at the expense of genuine emotional closeness. She advocates for a more mindful use of technology, with people placed at the center. “We don’t need more technology—we need more humanity in technology,” is one of her core messages.
The Weakness of Today’s AI Hype
The current hype around AI and chatbots has delivered impressive advancements, but one key question often remains unanswered: Can technology truly win hearts? No matter how sophisticated an AI model may be, communication ultimately boils down to convincing people, making them happy, or winning them over for a cause. This is where many modern AI systems fall short: they can process data, recognize contexts, and generate responses, but they do not truly understand.
Empathy, as humans experience it, is more than a reaction to input—it is the result of genuine listening, compassion, and a desire to build a connection. This connection is often absent in purely AI-driven systems. The focus on efficiency and automation frequently overlooks the fact that trust and satisfaction are not solely created by “perfect” answers but by the feeling of being heard, valued, or even surprised by a witty or unexpected comment.
The Importance of Empathetic Communication
The early work of Weizenbaum and Turkle teaches us that empathy and emotional intelligence are irreplaceable. While technology can help us communicate faster and share information more efficiently, humans remain the key to true persuasive power. Hybrid solutions—like those from HybridAI—aim to bridge this gap by combining the strengths of AI with human interaction. They demonstrate that technology should not be seen as a replacement but as a tool to help people deliver their messages with warmth and empathy.
Conclusion
As technological development continues to advance, we must not forget that communication is fundamentally a human process. The lessons of Weizenbaum and Turkle remind us that empathy is not a “feature” but a mindset. No matter how powerful our technologies become, humans remain the benchmark for meaningful communication—yesterday, today, and in the future.
