Playwriter vs Prefactor

AI agents cannot browse the web properly. They either have no browser access, or they get a fresh Chrome with no logins, no extensions, and instant bot detection. Playwriter gives them your actual browser session instead. One Chrome extension, full automation API, everything you are already logged into. Includes accessibility snapshots (5-20KB instead of 100KB+ screenshots), a debugger with breakpoints, live code editing, network interception, and video recording. Works with any MCP client: Cursor, Claude, VS Code, and more. Open source, MIT licensed.

Prefactor is the essential control plane for AI agents, designed to empower organizations as they transition from experimental proofs-of-concept to secure, governed, and scalable production deployments. In an era where autonomous AI agents are increasingly integrated into everyday operations, Prefactor addresses the critical governance gap that appears when these agents move from demos to real-world applications. Particularly in regulated industries such as finance, healthcare, and mining, it ensures that organizations have the necessary oversight and control. With Prefactor, every AI agent is assigned a first-class, auditable identity, applying the same stringent identity and access management principles that are effective for human users to autonomous software. This platform is specifically built for product, engineering, security, and compliance teams seeking shared visibility and control over their agent ecosystems. By facilitating real-time monitoring, compliance-ready audit trails, fine-grained policy controls, and enterprise-grade security, Prefactor transforms the complex landscape of agent authentication and governance into a streamlined and elegant layer of trust. It allows companies to innovate confidently, accelerate their time-to-production, and definitively answer the question, “What are our agents doing, and do we have control?”