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PRACTICAL DESIGN INNOVATION
Designing Agentic AI Experiences
Learn how to focus your agents and why Agentic AI needs process engineering.
Agentic AI is redefining how technology interacts with users. This article dives into agentics— systems that blend large language models, machine learning, and automation — to support decision-making, creativity, and logistics. We’ll explore how agentics work, various types and components, and why integrating process engineering is essential for creating user-focused experiences. Companies must decide how agentics will drive products and whether it is an avenue to their platform or someone else’s becoming the user’s primary interface. Whether you’re a designer, technologist, or business leader, understanding agentic AI is key to shaping the future of digital interaction.
Agentic AI combines new forms of artificial intelligence (AI) like large language models (LLMs), traditional AI such as machine learning, and enterprise automation to create autonomous AI agents that can analyze data, set goals, and take actions with decreasing human supervision. These agents are capable of decision making and dynamic problem-solving, learning, and improving through every interaction.— UI Path
