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 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:
1. Provide Deeplinks to the Website
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.
2. Utilize Website Functions with Function Calls
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.
3. Address Users in Their Language Automatically
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.
4. Allow for Human Takeover at Any Time
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.
5. Provide Information Based on Uploaded Materials
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.
6. Multichannel Availability
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.
7. Configuration with Different LLM Models
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.
Conclusion
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.