AI agents: What they are and when you should (or shouldn't) use them

AI agents are advanced autonomous systems designed to perform complex tasks by utilizing predefined tools, systems, and data without the need for detailed step-by-step instructions, differentiating them from traditional chatbots and prompt chains that manage tasks reactively. Unlike traditional automation that follows rigid rules, AI agents can adapt and make decisions, excelling in ambiguous, multi-step tasks by dynamically interacting with various data sources and tools. Despite their flexibility and ability to automate end-to-end processes, AI agents present challenges in predictability and debugging, necessitating observability, safeguards, and human oversight when deployed in production environments. Retool Agents stand out by offering a unified platform for development, integration, governance, and observability, facilitating the creation of secure and scalable agentic systems without extensive custom coding. These agents are particularly powerful when combined with workflows and constraints, allowing them to handle complex, judgment-based tasks while workflows manage more structured processes.