Reversible Binary Explainer - Directive-locked, reversible binary and math explanations

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Reversible Binary Explainer is a directive-locked AI explainer that enforces deterministic structure, reversibility, and provenance when explaining binary operations, encoding schemes, memory layouts, algorithms, and mathematical transformations. Unlike traditional explainers, it cannot respond unless a template is explicitly selected. Every explanation must show forward and inverse logic, verify reversibility, and emit MindsEye context across temporal, ledger, and network layers.

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This launch focuses on something I think AI explainers get wrong: accountability. Reversible Binary Explainer operates in a strict directive mode where explanations are only allowed if they can be reversed, verified, and traced. I ran a full 12-step test suite covering command enforcement, template locking, reversibility checks, dependency validation, and system snapshots — all passed. I’ll be sharing screenshots of every test and result so you can see exactly how the system enforces its own rules. Feedback, edge cases, and “try to break it” attempts are very welcome.