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 / Grey MJos Predictive Model | First manifestation of the Bangel Language MJ Physics Engineering | Owned and operated by Michael Bangel | Clearwater, Florida PROJECT TERMINOLOGY BarTide staff scheduling and training: 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. MJos Predictive Model: umbrella project and first manifestation of the Bangel Language in this edition. Bangel Language: typed expression layer. Elsa: compiler. JP: independently admitted representation; preserve its actual versioned protocol. Joanna: runtime and execution evidence. MJ: separate permission and resource authority. UNKNOWN: unavailable or unsupported value, never numerical zero. PROJECT TYPES - TeamShift: member + start + end + label - TrainingProgress: member + lesson + completion + time - Role: owner | manager | bartender | server | kitchen | driver PROFILE RULE Keep case-sensitive neural r0/r9 distinct from uppercase R-state semantics. Historical MJ-PBMEF build IDs are provenance, not current company branding. Existing evidence profiles retain their source-specific meanings. EVIDENCE LIMITS - Training checkmarks are stored completion state, not independent proof of skill. - Shift management exists; no optimizer or external calendar synchronization established.