HANDBOOK.md launches benchmark for long-context agent instruction following

HANDBOOK.md is a new benchmark designed to measure how AI agents follow complex and detailed instructions, modeled after how corporate professionals adhere to policy in their daily work. The system structures each task as a unique reinforcement learning environment with internal tools and external MCP servers spanning five enterprise domains. The benchmark provides a way to evaluate agent performance in comprehending and executing extended instructions with accuracy.