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📡 Cross-Frame Events

Dual Interface Architecture

Field-deployed mobile assistant and desktop investigation platform operate on a shared knowledge graph.

Mobile Assistant Voice-first capture for field operations
Desktop Platform Investigation dashboard (A4 paper scale)

Field Capture

Officers use voice to narrate observations during patrols, interviews, or inspections. The mobile interface prioritizes speed and minimal cognitive load.

Deep Analysis

Analysts access the full knowledge graph, entity relationships, and reasoning chains through the desktop platform's multi-widget layout.

Shared Knowledge Graph

Both interfaces read from and write to the same Neo4j-backed knowledge graph. Insights captured in the field appear immediately in desktop analyses.

Context Handoff

Session state transfers between devices. An officer can start a voice capture on mobile, then continue the investigation on desktop without losing context.

A4 Paper Scale

The desktop view is scaled to A4 landscape proportions (297×210mm), ensuring that exported reports match standard document formats.

Presenter Notes
  • Live Demo: Both iframes are interactive prototypes running actual code.
  • Use Case Flow: Field officer captures → sync → analyst reviews → feedback loop.
  • Cognitive Division: Mobile for capture (low load), Desktop for analysis (high detail).
  • Integration Point: GraphRAG powers both interfaces with the same underlying data.