MJ Football Playbook - Gateway, lifecycle and evidence
MJ Football Playbook / Pink
MJ Physics Engineering | Bangel Language | MJos Operating System
Owned and operated by Michael Bangel | Clearwater, Florida
PURPOSE AND PROJECT PLACEMENT
Episodic recall and physics-football playbook projection preserve source curves, command history and selection identities.
IDENTITY AND RELATIONSHIPS
Domain overlay used by MJ Memory Recall; schematic coordinates are not calibrated robot dynamics.
REQUEST TO RESULT
IF
A recall query supplies the original frame, an eligible playbook selection and available command-history context.
HOW
Compare bounded episodic candidates and project source-backed geometry, preserving entity/relationship/context conflicts, curves and observation chronology.
THEN
Return a physics-play analysis projection with its evidence or HOLD a context mismatch. Similarity is not calibrated probability or coaching approval.
RELEASE REQUIREMENT
Bind inputs, decisions and results to the exact source profile. Preserve reproducible procedure, expected behavior, observed outcome and reviewer. Documentary completion does not substitute for implementation or execution evidence.
DISCOVERY NAMES
MJ-Playbook-Projection/0.1.0
These names aid search; current compiler naming remains Elsa.
SOURCE STATUS AND LIMITS
Current source inspected; these documentary bindings do not report newly executed software or physical tests.
Recovered status: implementation_source.
Use only the exact named source scope; a documentary sequence is not deployment or an authority grant.
SOURCE REFERENCES
- plugins/mj_memory_recall/README.md · line 1
https://github.com/Mjos23/bangel-language/blob/229548f13a4856455b3d30d408cf845fb5b557fc/plugins/mj_memory_recall/README.md#L1
- plugins/mj_memory_recall/README.md · line 53
https://github.com/Mjos23/bangel-language/blob/229548f13a4856455b3d30d408cf845fb5b557fc/plugins/mj_memory_recall/README.md#L53
RECOVERED HISTORICAL CONTEXT
- Historical scope: Maps football playbook geometry and actor paths into comparative prediction and neural node-space overlays.