Research and field guides for regulated AI agents
Benchmarks, failure catalogs and regulatory testing guides written by the clinicians, attorneys and engineers who build GONATURELLE.
Research
Original measurement, published openly and versioned so you can cite it.
Vertical AI Reliability Index · November 202648 models, 12 regulated task domains, four metrics that predict production failure.Median pass^3 trajectory completion across all models: 31.8%. GONATURELLE Vertical AI Reliability Index.Agent Eval GuideTesting multi-turn agents end to end.
1Reasoning closed A · trajectory 61.277.1
2Frontier closed A · trajectory 58.276.6
3Reasoning closed B · trajectory 59.675.0
- 04Deterministic checks first: schemas, bounds and provenance
- 05Trajectory assertions: order, required and forbidden steps
- 06Multi-turn tests need a user, an end state and a seed
- 07pass@k versus pass^k: measure consistency, not luck
- 08LLM judges: calibrate before you trust
dose, citation, PHI, adverse action
32.8% of catalogued multi-step failures were tool-argument schema or boundary violations. GONATURELLE Failure Modes Catalog analysis, 2026.Glossary67 terms engineers, clinicians and compliance teams share.Cohen's kappapass^kTrajectoryAnnex IVPCCPAdverse action noticeGwet's AC1
Regulatory testing guides
Show all 20From the blog
- pass@k vs pass^k: measuring reliability, not luckKarthik Reddy · 4 Nov 2026 · 8 minEvaluation science
- Testing for citation hallucination in legal AINandini Joshi · 6 Oct 2026 · 8 minLegal
- EU AI Act Annex IV for engineersNandini Joshi · 15 Sept 2026 · 9 minRegulation
- Fast path vs full suite: structuring CI evalsVikram Choudhary · 11 Aug 2026 · 8 minEngineering
Explore the 2026 Vertical AI Reliability Index: failure rates across 12 regulated domainsSchema adherence, trajectory completion, domain factuality and adversarial robustness for 48 models. Free to cite.View the index
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