Agentic AI lets users express intent, apps handle the rest
Imagine being able to tell your phone exactly what you want, and having it happen effortlessly. No more scrolling through endless menus, no more tapping through confusing interfaces, no more frustration. Just a simple, straightforward request, and boom! Your desired outcome is achieved.
This is the promise of agentic AI, a revolutionary technology that’s changing the way we interact with apps and devices. Rather than burdening users with complex interfaces and tedious tasks, agentic AI enables them to express their intent and lets the app handle the rest.
So, how does it work? Let’s take the example of booking a flight. With traditional interfaces, you’d need to navigate through multiple screens, selecting dates, times, and destinations. But with agentic AI, you simply tell the app what you want: “Book a budget-friendly flight next week.” The app takes it from there, searching for flights that meet your criteria, filtering out those that don’t, and confirming your booking.
The benefits are numerous. For one, agentic AI reduces the cognitive load on users, freeing them from the tedium of micromanaging tasks. No more worrying about how to get what you want; just tell the app, and let it do the work. This also means that users can focus on higher-level thinking, making more informed decisions and achieving their goals more efficiently.
Another significant advantage of agentic AI is its potential to increase user engagement and satisfaction. When users can express their intent clearly and easily, they’re more likely to achieve their desired outcomes, leading to increased loyalty and retention. This, in turn, can drive business growth and revenue.
So, what are the implications for app developers and designers? The answer is simple: it’s time to rethink the way you design your interfaces. Agentic AI is not just a new technology, but a new paradigm for user interaction. It requires a shift from complex, rules-based interfaces to more flexible, intent-based systems.
To get started, app developers can begin by implementing natural language processing (NLP) and machine learning (ML) algorithms that enable users to express their intent in a more natural, conversational way. This might involve using voice commands, text input, or even gestures and body language.
Once the app understands the user’s intent, it can use its internal logic and rules to determine the best course of action. This might involve searching databases, querying external APIs, or even making decisions based on user behavior and preferences.
The key is to create an interface that feels seamless, intuitive, and transparent. Users should be able to express their intent with confidence, knowing that the app will handle the rest. This requires a deep understanding of user behavior, as well as a willingness to experiment and iterate on the design.
To illustrate the power of agentic AI, let’s consider a few examples:
- Booking a hotel room: “Book a room with a king-size bed and a city view for three nights.” The app takes care of finding the best available rooms, filtering out those that don’t meet your criteria, and confirming your booking.
- Ordering food delivery: “Send me a vegan, gluten-free pizza with extra mushrooms.” The app searches for the best local options, filters out non-vegan and non-gluten-free options, and confirms the order.
- Finding a job: “Show me marketing jobs in San Francisco with a salary range of $80,000 to $100,000.” The app searches for job openings that meet your criteria, filters out those that don’t, and provides a list of relevant job postings.
As you can see, agentic AI has the potential to revolutionize the way we interact with apps and devices. By enabling users to express their intent clearly and easily, it reduces the cognitive load, increases user engagement and satisfaction, and drives business growth and revenue.
So, what’s the future of agentic AI? As the technology continues to evolve, we can expect to see more sophisticated NLP and ML algorithms, as well as more advanced user interfaces that make it easier to express intent. We’ll also see more applications of agentic AI across industries, from healthcare to finance to education.
In conclusion, agentic AI is a game-changer for the way we interact with apps and devices. By enabling users to express their intent clearly and easily, it reduces the cognitive load, increases user engagement and satisfaction, and drives business growth and revenue. As the technology continues to evolve, we can expect to see even more innovative applications and use cases. The future is bright, and it’s time to start exploring the possibilities of agentic AI.
Source: https://www.growthjockey.com/blogs/agentic-ai-in-app
