Building AI Agents with OpenAI Agent Builders & Firecrawl

OpenAI has launched a visual Agent Builder designed for creating multi-step automations integrated with its models, offering a drag-and-drop interface similar to tools like n8n and Flowise. This tool allows users to assemble workflows directly from the platform, enabling the creation of complex systems like an Investment Research Agent that can transform user queries into detailed company research reports. The Agent Builder supports robust design processes with features like trace graders for quality assurance and safety measures to prevent issues such as prompt injection. While praised for its ease of use and integration within OpenAI's ecosystem, it can become costly with higher-tier model usage and lacks collaboration features. Despite some challenges in setting up external servers and managing structured outputs, the platform is well-suited for users with a technical background who seek visual control over their workflows without extensive coding. The guide also outlines steps for setting up and testing workflows, emphasizing the potential of Agent Builder for building AI systems within OpenAI's infrastructure.