ThinkingBox catches agents that finish the conversation, not the job
ThinkingBox gives teams a stricter way to test AI agents: it checks the database and side effects they leave behind, not just whether their tool calls and final answers look valid. Across 121,680 trials covering 12 models, 67.24% of failed attempts still ended cleanly with no final tool error, while executable checks found wrong field values, extra effects, or missing effects. The benchmark covers 507 stateful business workflows and runs through OpenEnv.