Emergency ai offline mode

Hi Avinash, Thank you for the feedback and for taking the time to review the architecture direction. At the moment, the primary MVP focus is mainly centered around: * weak-network emergency continuity, * offline emergency accessibility, * and deterministic emergency workflow support during unstable connectivity situations. The initial optimization direction is especially focused on: * rural and low-connectivity environments, * disaster-related continuity situations, * and structured emergency workflow accessibility when internet connectivity becomes unreliable or unavailable. The current v1 workflow areas being explored include: * bleeding control continuity, * fire emergency continuity, * flood/disaster continuity, * breathing emergency workflows, * and multilingual emergency-support accessibility. A major design goal is: * ensuring the app can still continue deterministic workflow guidance even if: * backend connectivity drops, * internet becomes unstable, * or AI services become temporarily unreachable. Because of this, the architecture currently prioritizes: * backend-authoritative validation, * deterministic workflow transitions, * signed offline workflow packs, * and constrained AI-assisted routing instead of unrestricted generation. I’m especially interested in feedback regarding: * offline continuity design, * deterministic workflow architecture, * Structured Outputs routing safety, * and moderation-aware workflow coordination. Thank you again for the feedback and review. — Harish