Top 4 Agentic AI Architecture Design Patterns

Artificial intelligence (AI) is evolving rapidly, reshaping how we approach problem-solving and system design. But what if we could empower AI systems to take even more initiative, learn from their environments, and autonomously execute complex tasks? Enter “Agentic Design Patterns” — a groundbreaking approach to designing AI systems that emphasizes the agency of intelligent agents.

These patterns allow AI models to move beyond passive, rule-based responses, enabling more dynamic, adaptable, and autonomous behaviors.

This article explores how agentic design patterns can revolutionize AI systems, offering unprecedented control and flexibility for real-world applications.

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Why AI Agents?

• LLMs have increased performance using Agentic workflows.
• GPT-3.5 powered Agentic AI Systems achieved up to 95.1% on HumanEval coding benchmark.
• Easy to connect LLMs, tools and prompts along with external data to build simple and complex agentic workflows.