Evaluation method
Product claims are only as useful as the test behind them. A defensible evaluation compares the same sanitized tasks against a credible analyst baseline, preserves the run evidence, and reports failures alongside successful outcomes.
Buyer questions
The benchmark starts with a frozen set of sanitized tasks, the artifact under review, the analyst question, the expected evidence, and a stopping rule. The task definition stays unchanged between baseline and AI-assisted runs.
Both paths use the same task and success criteria. The record captures elapsed time, tool and model versions, analyst actions, generated output, reviewer corrections, unresolved items, and the evidence supporting the final answer.
Useful evidence includes the task set, baseline method, run logs, tool calls, reviewer rubric, timing and cost notes, failure cases, deployment assumptions, and sanitized outputs that another technical reviewer can inspect.
Positioning
A fixed task set prevents the evaluation from changing after the outcome is known. Each task records the question, available artifacts, expected evidence, and completion boundary.
The baseline reflects a real analyst workflow, not an intentionally weak comparison. The AI-assisted run uses the same task, artifacts, reviewer standard, and stopping rule.
A trustworthy proof package makes failed steps and unresolved questions visible. The result stays bounded to the tested task set and environment.
Research references
Related Worthify pages
