Many websites, lovingly built and maintained over the years, run on WordPress. However, some features—especially local search—have become somewhat outdated. So, let’s see if we can integrate a modern ChatBot to enhance WordPress…
If you self-host WordPress and are comfortable with it, you can simply copy the integration JavaScript snippet from the HybridAI backend (Tab: Integration) into your footer.php or header.php file.
But we wanted to make it even easier for everyone, so we developed a plugin! With this, you only need to enter your Chatbot ID in a settings page under “Settings” in WordPress—and voilà, the HybridAI ChatBot is up and running! You can now configure it just like any other WordPress element, adapting it to your site’s look & feel.
Now, your blog has a conversation bot powered by a modern AI backend, enriched with additional information and function calls to make it even smarter.
But of course, this is HybridAI—so there’s more…
We thought it would be really cool if the chatbot could use WordPress search via a function call to retrieve blog articles and provide instant results. And guess what? It works!
Soon, function calls will be configurable in the interface for every bot owner. That means you’ll be able to set your WordPress URL for this functionality.
Conclusion
HybridAI significantly enhances WordPress by adding a powerful ChatBot. And now, with a special function call, the bot can even search blog content and return clickable links as responses. 🚀
A key focus of HybridAI is “Function Calling”, which allows the AI to request other APIs and services in the background in specific situations and seamlessly integrate the output into the conversation. This can involve a wide range of tasks, such as querying weather services, stock market data, inventory systems, or even something as simple as retrieving energy prices for the next 24 hours—helping the user decide the most energy-efficient (and environmentally friendly) time to run their washing machine.
Or maybe you just want to know where the International Space Station is located at the moment…
As seen in the example with the Google Maps link, the AI can retain and reuse information in the ongoing conversation, even reformatting it when needed.
But of course, we wanted to take things one step further—because what would be the most logical function call for AI enthusiasts? Naturally, the AI calling another AI!
This idea isn’t far-fetched at all, as there are now highly specialized AI systems, like Perplexity, which excels in retrieving real-time information. So, let’s put it to the test—how many people protested against the AfD in Berlin yesterday?
Keep in mind, we’re currently chatting with ChatGPT 4.o-mini—an OpenAI model that is based on information from two years ago. This means it cannot know the answer to our question about the latest protests against the AfD in Berlin.
But that’s exactly why Function Calling is so powerful!
And of course, we can also ask about the current weather—for example, what’s it like right now in Auchenshuggle? 🚀
Cool, isn’t it?
If you have more ideas for function-calls or APIs that we should integrate, let us know. Or you just get your own HybridAI-Account for free here: https://hybridai.one/register
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)
Chatbot Evolution Timeline
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.
A Shift Beyond Conversation
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.
Enter: HybridAI and Other Action-Oriented Systems
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 Hype Around “Agentic Systems”
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.
Why This Matters
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.
In a world where artificial intelligence (AI) is increasingly used in customer service, HybridAI stands out with a revolutionary approach. This innovative system combines the efficiency of modern AI technology with the emotional intelligence of human interaction to create a unique chat experience.
The Problem with Traditional AI Chatbots
Many existing AI chatbots fail to address the individual needs of users. Often, their responses are generic, shallow, or even inappropriate. This leads companies to lose potential customers or fail to make a lasting impression. Another issue is the hallucination of AI models, which can generate false or unsuitable information. Increasing restrictions imposed by AI providers exacerbate the situation—particularly US-based models now focus more on being non-offensive than on being relevant. This often undermines meaningful customer interaction and relationship-building.
The HybridAI Solution
HybridAI tackles this problem head-on by combining the strengths of AI and human interaction:
Autonomous AI with Human Backup Option: While the AI works efficiently and autonomously, a human can step in anytime for complex or sensitive topics. A dedicated AI model monitors the conversation and proactively requests human support when needed.
Adaptability: The system can easily be tailored to specific business needs, from custom API integrations to personalized bot identities. Cutting-edge mechanisms such as PDF uploads, website crawling, and function calls are fully supported.
Second AI Model for Better Oversight: Another AI model helps identify problematic content and supports human responses, reducing the workload of chat teams while ensuring they’re involved in critical interactions.
What Makes HybridAI Unique?
Emotional Sensitivity: As the only system on the market, HybridAI detects emotional stress situations or critical moments—such as just before a purchase—and hands over to a human agent.
Combination of AI Models: The system uses the best available models and integrates special functions like API queries.
GDPR Compliance: By supporting local and open-source AI models, HybridAI ensures complete data sovereignty and security.
With this approach, HybridAI not only revolutionizes customer service but also sets new standards for empathy and efficiency in the digital age. Companies looking to elevate their customer service should explore this groundbreaking system.
