7 Essential AI Agent Design Patterns
Last Updated on June 8, 2026 by Editorial Team
Author(s): Zoumana Keita
Originally published on Towards AI.
From Lone Models to Collaborative Systems: A Strategic Guide to Agentic Orchestration
The world of AI is moving fast. We’ve gone from simple chatbots to AI Agents that can actually get things done. In the beginning, everyone wanted a single, super-powerful model to do everything. But as we try to solve harder problems, we’re finding that one “expert” isn’t enough.
After introducing the need to move beyond one “do-everything” model, the article walks through seven key AI agent design patterns: starting with the simplest single-agent setup, then moving to sequential workflows (assembly line), parallel execution (divide and conquer), iterative review loops (writer/editor critique), coordinated management (manager and specialists), fully collaborative swarms (no boss), and the ReAct think-and-do loop for dynamic environments. It then emphasizes that powerful agent systems require real testing and evaluation to verify accuracy and task adherence, and concludes with guidance on choosing the right pattern (starting simple and iterating as needs evolve) rather than defaulting to complexity.
Read the full blog for free on Medium.
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