Building AI agents for business applications presents challenges such as unpredictable outputs from large language models (LLMs), integration difficulties, and moving from prototypes to production-ready systems. AI agent builders, platforms designed to facilitate the development of AI agents, address these challenges by offering the necessary infrastructure, integration capabilities, and control mechanisms. These platforms are categorized into workflow-based and non-workflow-based builders, with the former focusing on automating business processes and the latter offering greater flexibility for novel use cases. Workflow-based builders, such as n8n and Camunda, excel in integrating AI into existing business processes, while non-workflow builders like LangGraph and Restack provide developers with more control over complex AI architectures. Choosing the right platform depends on factors such as ease of use, integration capabilities, future-proofing, cost, and the technical expertise of the team.