1. Structured, Data-Grounded Process
Carys does not jump straight to an answer. It clarifies the question, builds a research plan with user approval points, and refines that plan against the real data before full execution.
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How Do I Know Carys Is Accurate?
Carys is designed so no single model pass is trusted on its own. Accuracy comes from layered verification, independent review, and continuous measured evaluation.
2. Three Independent Quality Layers
Every step goes through self-review (calculation and claim verification), independent peer review (separate context), and final report review to ensure conclusions match the underlying findings.
3. Correction and Retry Workflow
If a step fails review, Carys re-runs it with targeted revision guidance. This maximizes quality while bounded retries and circuit breakers keep behavior predictable.
4. Full Auditability
Analysis runs produce detailed traces, including planning decisions, quality outcomes, and cost/duration metrics, so teams can inspect how results were produced.
What Is CarysBench?
CarysBench is our custom evaluation framework. An eval framework is a repeatable test system that runs the same benchmark questions against the product and scores outputs using defined metrics, instead of relying on anecdotal spot checks.
With CarysBench, we run thousands of questions against Carys and objectively measure accuracy, consistency, and output quality.
How We Use It In Practice
Continuous Regression Detection
We run the suite frequently to detect quality regressions early when prompts, models, or execution logic change.
Objective Scoring
We track score trends over time across core dimensions like factual accuracy, consistency between sections, and overall answer quality.
Iterative Improvement
Results feed directly into prompt updates, verification improvements, and review-flow tuning so the system gets measurably stronger over time.
Safety + Quality Together
We combine CarysBench score tracking with runtime safeguards like sandboxing, access controls, and bounded execution limits to keep analysis both reliable and controlled.