How to interpret the AI score
High output quality is not enough if the workflow is expensive to verify.
The AI scorecard gives extra weight to task fit, verification and privacy because those factors often determine whether a tool remains useful after the demo phase. A product that writes fluent text but routinely invents facts may be a poor choice for research. A tool that performs well on public marketing copy may still be inappropriate for confidential customer data if the account tier and retention controls are unclear.
Do not compare two products using different tasks. Give each product the same representative workflow, then score the result after editing and verification are included. Our guide to choosing AI tools for work explains how to run that pilot without letting feature lists dominate the decision.