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 / Indigo MJos Predictive Model | First manifestation of the Bangel Language MJ Physics Engineering | Owned and operated by Michael Bangel | Clearwater, Florida VERIFICATION AND DISCOVERY RECORD Project: BarTide staff scheduling and training OBSERVED IN THIS PASS - 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. EVIDENCE STATUS Source/document inspection only for this project sequence. No historical test count is restated as a fresh pass. No fresh project runtime suite was executed by authoring this paper. Studio starter checks and library integrity checks, where completed, have their own separately scoped records. NEXT EXECUTABLE ASSERTIONS Check that admitted inputs produce the stated bounded result; missing inputs HOLD; failed permission DENY; stale/duplicate identities do not create a second effect; successful calculation creates no unauthorized action. Expected outcomes must be fixed before running. RESULT PROVENANCE Record test identity, exact source revision, command, environment, expected/actual outcome and transcript hash. Native test code and result evidence remain authoritative. This is a new reconstruction based on the recovered Indigo rules. EVIDENCE LIMITS - Training checkmarks are stored completion state, not independent proof of skill. - Shift management exists; no optimizer or external calendar synchronization established.