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🔥🔥🔥 Discover how to build reliable AI agents with Spec27 at AI Engineer World’s Fair 2026, booth B-3.
Integrates with
Manual "Vibes-based" testing doesn’t cut it for real AI Agents 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
Create a durable, automated foundation for predictable unit tests and red-team security analysis.
30+
Adversarial
Methods
300
Agents Tested
150
Specs
200
Datasets
20+
Models
10K
Test Runs
Join the crowd
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