AI Agent Architecture and Development Process Explained
AI agent architecture defines how an intelligent system connects with data, language models, APIs, business rules, memory, and user requests. This article explains the main stages of the AI agent development process, from planning and system design to coding, testing, production release, and ongoing monitoring.
It also covers how teams set goals, manage permissions, check response quality, control costs, and add human approval for sensitive tasks. Businesses can use this guide to understand how reliable AI agents are built for customer support, sales, operations, and workflow automation.
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