Manual "Vibes-based" Testing Doesn’t Cut it for Real AI Deployment
Manual Evals are Bottlenecks
LLM-as-a-judge and manual checks are too slow and subjective for complex agentic systems, blocking deployment on key projects
Requirements Capture is Hard
Pinning down what agent behaviour is desirable and safe is a huge challenge when every prompt tweak or model update carries the risk of a "silent" failure
Third Party Blindspots
Integrating third-party technology into your stack gets you functionality but leaves you with no way to verify their reliability against your own requirements
The Solution: Automated Spec-driven Validation for AI Agents
Start with baseline test cases and automatically grow them into broader coverage for red-team security and gold- team robustness scenarios
Use machine-readable specifications to define expected behaviour once and validate against it continuously for reliable execution
Automate Test Generation to get Deep Coverage
Move from Manual Tests to Repeatable Precision
Use One Standard for Both Built and Bought Systems
Apply the same high bar for reliability to your custom agent builds and your third-party vendor deployments
Create a durable, automated foundation for predictable unit tests and red-team security analysis
Join the crowd
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