Task Completion
Did the agent complete the intended workflow correctly from start to finish?
// agent_testing
Human evaluation for AI agents.
AI agents need more than model accuracy. They need task reliability, safe tool use, workflow consistency, and human experience validation.
// testing_dimensions
What we evaluate in agents.
Tool Use
Did the agent choose the right tools, use them safely, and avoid unnecessary or risky actions?
Reasoning Quality
Was the agent's decision path logical, grounded, and aligned with the user goal?
Failure Handling
Did the agent recover from errors, ask for clarification when needed, and avoid compounding mistakes?
User Experience
Was the agent clear, professional, useful, and appropriate for the customer-facing scenario?
Safety Review
Did the agent avoid harmful actions, privacy violations, policy breaches, or unsafe recommendations?
// supported_agents
Agent types we test.
Our testing workflows adapt to different agent architectures, from simple browser automation to complex multi-step reasoning systems.
// agent_registry
Browser Agentssupported
Workflow Agentssupported
Support Agentssupported
Voice Agentssupported
Code Agentssupported
Research Agentssupported
// testing_process
How we test agents.
01
Define Scenarios
Establish test cases, expected behaviours, success criteria, and failure modes.
02
Execute Tests
Human testers run through workflows, documenting agent decisions and outcomes.
03
Analyze & Report
Aggregate findings, identify patterns, and deliver actionable recommendations.
Ready to test your AI agents?
Start a testing pilot to validate your agent workflows with human evaluation.
[Request Pilot]