Choosing a Design Pattern for Your Agentic AI System

Author(s): Sachin Anand Originally published on Towards AI. 11 patterns, grouped into 4 categories. Pick the structure that matches your workflow This article helps you to choose a design pattern for your agentic AI system. Agent design patterns are reusable architectural approaches for building agentic applications in any industry. AI agents are well suited to solving open-ended problems that require autonomous decision-making and the management of complex, multi-step workflows. AI agents can access external data and sources and can respond to problems in real time. AI agents can also automate knowledge-intensive tasks. They are particularly valuable when AI needs to accomplish goal-oriented tasks with a certain level of autonomy. Before picking a pattern to create an AI system for a use case or a problem, ask four questions first: Task: Does your tasks have predefined steps, or your tasks are open-ended ? Does your tasks need an AI model orchestrating it? Latency: does your system need a fast response, or can your system tolerate a delay to achieve a response ? Cost: can the budget absorb multiple model calls per request? Human involvement: are there high-stakes or subjective de…

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