Imagine a future where you never have to open an app again, your phone just gets things done.
What Are AI Agents?
AI agents are software systems that use artificial intelligence to pursue goals and complete tasks on behalf of users. They can operate autonomously deciding what to do end-to-end, breaking tasks into steps, and using APIs or apps to get the job done.
These agents don’t just assist; they act. Whether it’s managing emails, booking appointments, or controlling applications, AI agents are designed to take initiative and deliver outcomes without constant human input.
What Is Agentic AI?
Agentic AI, on the other hand, is a broader system or framework that uses AI agents to perform tasks autonomously on behalf of a user or another system. It’s the architecture that supports, manages, and regulates the behavior of multiple AI-powered agents working within a generative AI environment.
Think of Agentic AI as the ecosystem, a layer of intelligence that allows different agents to coordinate, collaborate, and function together effectively.
Types of AI Agents
Types of Agentic architectures:
Agentic architecture refers to the structure and design of agentic artificial intelligence (AI) frameworks. An agentic architecture is one that shapes the virtual space and workflow structure to automate AI models within an agentic AI system. These are different types of agentic architectures:
- Single-Agent : task specific assistant
- Multi-agent: agent coordinates and collaborate
Agentic AI in mobile application:
Agentic AI in mobile applications marks a major shift in how we interact with technology. We’re no longer in the era where AI simply assists us, we have entered the age where AI acts, an age of smart autonomous agents quietly revolutionizing the world of mobile app development. One such agent is Droidrun, whose framework enables large language models (LLMs) to control Android and iOS devices.
How agentic AI will change the mobile app development landscape:
When agents can perform tasks across multiple apps, the need to manually open apps fades. You might never open your food, cab, or calendar app, your AI agent will coordinate all of them silently in the background by controlling Graphical User Interface or using MCPs.
This will create a wave of headless apps, basically software that runs purely as services for agents, not humans.
Agents also will be able to operate within different apps, without you actually having them on your mobile. Agentic AI turns every app into a building block for automation. Instead of switching apps, you’ll express an intent, and your AI agent will orchestrate the workflow across multiple apps: For example, you say “order the best denim jacket in “M” size under budget $50”. The phone will automatically find the best deals available out of all the shopping apps and show you the final suggestion.
Mobile UX is entering a new era, one where we don’t navigate software, we collaborate with it. Instead of menus and structured workflows, mobile AI apps will include prompt interfaces and personalized data visualizations. AI will forecast what the end-user needs to know based on their current job, and prompt interfaces will simplify both querying for information and providing job updates.
As Agentic AI continues to evolve, the way we think about apps, automation, and user experience will never be the same.
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