“Generative AI is just a phase. What’s next is interactive AI” said Mustafa Suleyman, the co-founder of Google’s DeepMind.
Rich Miner, the founder of Android, at the AGI House event described the future of UX as follows:
At Lexie.ai, we have developed a programming framework for building AI-native applications. Our customers include e-commerce, fintech, and prop-tech companies that are looking to improve their user experience and stay ahead of the competition using AI. Our customers typically go through a journey of improving their software at different stages of maturity, from introducing a standard chatbot – separate from their main application, to adding AI-copilots to their software, and finally adopting an AI-native user experience. In this blog, we will elaborate on these alternatives and describe their pros and cons.
Chatbots have become ubiquitous in the digital landscape. Powered by Large Language Models (LLMs), these AI-driven conversation agents aim to provide users with quick answers and assistance in a conversational manner. This evolution has led to a more personalized and enjoyable user experience, thanks to their ability to comprehend natural language and adapt to a broad range of queries.
Chatbots excel at handling routine tasks and relatively simple queries, making them valuable for customer support and information retrieval. Their adaptability makes them a versatile tool that can be tailored to specific domains and applications.
Co-pilots take a hands-on approach to assist users in navigating more complex applications. They work in tandem with the main application UI, offering guidance and assistance within some of the functionalities in the app. Think of them as a digital assistant sitting shotgun, helping you navigate the road of specific functionalities within an application’s interface.
Co-pilots are a valuable addition to user experience. They can perform tasks like filling out forms, guiding users through complex workflows, and even helping with troubleshooting within selected functionalities of an application. However, their expertise is often confined to specific modules, limiting their versatility.
Now, let’s talk about AI-native apps, the game-changers in the world of user experience. What sets AI-native apps apart is that they are not merely a feature or an afterthought. When an AI-native app is built, or when an existing app is transformed into an AI-native one, it revolutionizes the user experience. Here’s how:
In essence, AI-native apps are a holistic approach to transforming the way we interact with technology. They don’t just assist users; they enhance every facet of the app, providing guidance and automating tasks seamlessly across the entire application using a simple natural language interface. Plus, their ability to generate novel functionality based on the app’s knowledge base, within the specified guardrails, adds a layer of innovation and efficiency that chatbots and co-pilots simply cannot match.
So, why are AI-native apps superior to chatbots and co-pilots? Here are a few key reasons:
In conclusion, while chatbots, including advanced LLM-based chatbots, and co-pilots have their merits in assisting users within specific functionalities of an application, AI-native apps represent the next frontier in user interaction. They are more versatile, seamless, and efficient, offering a superior user experience that adapts to your needs across the entire app ecosystem. We think with AI-native apps, we are going to witness a revolution in the way we interact with technology, making our digital lives simpler, smarter, and more enjoyable.
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