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deepsense.ai
deepsense.ai is a practical framework for evaluating agentic artificial intelligence systems for reliability and production readiness.
This framework provides a guide for evaluating agentic artificial intelligence systems for reliability, behavior, and production readiness. It addresses the challenge of building evidence when an agent has no production traffic, labels, or baseline. The approach consists of four layers: the dataset, the execution setup, behavior verification, and the metric. It covers building initial datasets through hand-authored cases, synthetic data generation, and simulated users. It also explains how to ensure comparable runs by versioning execution environments and utilizing pass^k instead of pass@k.
deepsense.ai at a glance
- Best for: Software engineer, Researcher
- Pricing: Free
- Released: October 2026
- Category: AI research tool
- Website: deepsense.ai
Key features
- Build initial evaluation sets
- Generate synthetic data
- Deploy simulated users
- Version execution environments
- Verify agent trajectories
- Validate language model judges
- Create regression suites
Use it for
- Evaluate AI agents for production readiness
- Build pre-production datasets
- Verify multi-turn conversation behavior
- Gate software releases using pass^k metrics
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