How Toby scores your job

40,000 jobs. Task by task. From the U.S. government.

The foundation of every tobywins.ai score is the Occupational Information Network (O*NET), maintained by the U.S. Department of Labor and updated continuously. O*NET breaks down 923 occupations into their specific tasks, knowledge requirements, and skill demands — covering over 40,000 distinct job variations.

When you type a job title, Toby matches it to the correct O*NET occupational category and scores each task individually based on how automatable that specific task is. The result is a score that reflects what the work actually requires — not just what the job title sounds like.

Task-level scoring, not title-level guessing

Most job risk tools give you a single number based on your job title alone. Toby scores each task inside your role separately, then combines them into an overall protection score from 0 to 100. Higher means more protected. Lower means more of the role can be automated today.

This matters because two people with the same job title can have very different risk profiles. A lawyer who primarily writes routine contracts is more exposed than one who handles complex negotiations. A nurse who primarily documents and follows checklists is more exposed than one who builds patient relationships and makes clinical judgment calls in complex situations.

The studies behind every score

Toby's scoring model is validated against six peer-reviewed and government research sources. All are open access or freely citable. Sources listed most recent first.