AutomationBench

1. 1Build an AI agent using AutomationBench to test its ability to coordinate across multiple applications
2. 2Configure the agent to discover APIs autonomously and adhere to policy documents
3. 3Test the agent's performance on real business workflows that span multiple platforms
4. 4Compare the results with existing benchmarks to evaluate the agent's effectiveness
5. 5Apply the insights from AutomationBench to improve the agent's performance in cross-application coordination and policy adherence

AI researchers and engineers working on automation tasks can benefit from AutomationBench to evaluate their agents' performance in real-world scenarios, while product managers can use it to inform their automation strategy

💡 AutomationBench fills the gap in existing AI benchmarks by combining cross-application coordination, autonomous API discovery, and policy adherence

🤖 Introducing AutomationBench: a benchmark for evaluating AI agents in software automation across multiple apps and policies 📈