How To Compare AI Tools Without Falling For Feature Lists

Feature Parity Rarely Predicts Workflow Fit

Two tools may advertise the same features and behave very differently under real team constraints. Evaluation should start with the workflow that matters most, not the longest product page.

1. Source and evidence transparency
2. Review and approval controls
3. Export and archival quality
4. Reliability under recurring use
5. Clarity of pricing and support

The point of comparison is not to create a perfect scorecard. It is to make hidden tradeoffs visible before a team commits time and data to a workflow.