MJos Predictive Model | First manifestation of the Bangel Language
New project sequence ยท proposed bindings
Team members and roles, time-bounded shifts, team messages, courses, lessons, assignments and lesson completion records. AddShift validates start/end and rejects overlaps for the employee.
BarTide staff scheduling and training / Blue MJos Predictive Model | First manifestation of the Bangel Language MJ Physics Engineering | Owned and operated by Michael Bangel | Clearwater, Florida PROJECT REFERENCE Team members and roles, time-bounded shifts, team messages, courses, lessons, assignments and lesson completion records. AddShift validates start/end and rejects overlaps for the employee. OBSERVABLE BEHAVIOR - Team members and roles, time-bounded shifts, team messages, courses, lessons, assignments and lesson completion records. - AddShift validates start/end and rejects overlaps for the employee. TYPED CONTRACT - TeamShift: member + start + end + label - TrainingProgress: member + lesson + completion + time - Role: owner | manager | bartender | server | kitchen | driver DECISION RULE Save an explicit schedule or learning record; incomplete evidence does not certify proficiency. CONSUMER RULE Read the result status before interpreting its value. Preserve the tenant, project, source version and evidence context. Do not treat a missing record, an unexecuted proposal or a successful computation as an authorized external action. EVIDENCE LIMITS - Training checkmarks are stored completion state, not independent proof of skill. - Shift management exists; no optimizer or external calendar synchronization established.