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Ghostline is an edge AI field copilot for military operators working in denied, contested, or comms-degraded environments where cloud tools, GPS, and command connectivity can fail. It runs on phone-class hardware and combines camera CV, local intelligence, an encrypted event log, HMAC-signed sync, and a retrieval-bound multi-voice AI council to keep operators survivable, supervised, and traceable when the signal disappears. The system delivers a 9-page operation dashboard with five operation native intelligence views: Hub, Constellation, Flow, Layers, and Risk Stack. It also includes a Cesium Ion Photo3D operational picture and an operation-bound voice copilot powered by OpenAI Realtime, ElevenLabs multi-voice TTS, and Web Speech STT. Every reply is evidence cited, ROE bound, and reviewed by a six agent council consisting of Navigator, Safety, Comms, Cyber, Intel, and Guardrail, with each agent speaking in its own ElevenLabs voice. A hard safety boundary in every prompt rejects targeting, attack planning, weapons guidance, and hostile-intent inference. Voice is wired into six pages with page-specific tools that can pan the map to an operator, narrate briefing sections, scroll to events, and describe terrain. We shipped a runnable prototype with 13 operations across four classification tiers, 8 operator profiles, a complete Foundry and Ontology data model, offline-first edge execution, encrypted local logging, and integrity-checked delta sync that lets the command reconstruct the entire offline window when connectivity returns.

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ayushojha

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