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 / Pink MJos Predictive Model | First manifestation of the Bangel Language MJ Physics Engineering | Owned and operated by Michael Bangel | Clearwater, Florida PURPOSE AND CURRENT SCOPE - 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. MODEL PLACEMENT BarTide staff scheduling and training is documented as a project within the MJos Predictive Model. Its proposed Bangel binding must preserve the existing product boundary. REQUEST TO RESULT IF The staff member is active and the acting user may manage the tenant. HOW Validate shift interval/non-overlap or course version/assignment; preserve source identity. THEN Save an explicit schedule or learning record; incomplete evidence does not certify proficiency. RELEASE CRITERIA Record input identity, a reproducible procedure, expected outcome, actual evidence and authorized reviewer. A documentary sequence is complete only for its stated scope; execution and production readiness require separate evidence. EVIDENCE LIMITS - Training checkmarks are stored completion state, not independent proof of skill. - Shift management exists; no optimizer or external calendar synchronization established.