AI models typically learn from generalized patterns. In real Port Huron cases, the facts often hinge on details that a calculator can’t reliably “see,” such as:
- Shift-based wage documentation (overtime patterns, differential pay, seasonal hours)
- Functional restrictions tied to the kind of work you actually do—warehouse tasks, shop-floor duties, or physically demanding roles
- Transportation/commute realities that affect attendance at treatment and follow-up appointments
If your claim involves missed work during specific periods—like adjusting to treatment schedules or temporary restrictions—those timelines matter. AI tools may assume smoother treatment and earnings data than what your file actually contains.


