ClawsBench: Evaluating Capability and Safety of LLM Productivity Agents in Simulated Workspaces

1. 1Design simulated workspaces that mimic real-world productivity tasks
2. 2Implement LLM agents to automate tasks in these workspaces
3. 3Evaluate the capability and safety of LLM agents using ClawsBench
4. 4Analyze results to identify areas for improvement and fine-tune LLM agents

AI engineers and researchers benefit from ClawsBench as it allows them to test and improve LLM agents in realistic productivity settings, while product managers can use it to evaluate the capabilities and safety of LLM agents before deploying them in live services

💡 ClawsBench provides a safe and realistic environment for testing and improving LLM agents

🤖 Introducing ClawsBench: a benchmark for evaluating LLM productivity agents in simulated workspaces 📊