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 enterprise-grade control plane specifically engineered for managing and governing AI agents in production, particularly within regulated environments. It solves the critical infrastructure gap that emerges when moving AI agent proofs-of-concept (POCs) into scalable, secure, and compliant deployments. The platform provides a unified source of truth for agent identity, access, and activity, aligning security, engineering, compliance, and product teams around shared governance. By integrating seamlessly into existing CI/CD pipelines and popular AI frameworks, Prefactor automates the complex authentication and permission management required for autonomous agents. Its core value proposition is transforming security from a bottleneck into a seamless layer of trust, enabling organizations in sectors like financial services, healthcare, and mining to innovate with AI agents without compromising on auditability, visibility, or control. Prefactor ensures every agent operates with a first-class, auditable identity, making it an essential piece of tech stack for any team serious about production AI agent deployments.