--- description: Comprehensive agent payload and spatial database for Subak Patugan (3), detailing spatial hierarchy, room configurations, viewpoints, and interaction rules for internal AI guides. tags: - spatial-database - agent-payload - subak-patugan - apartment - real-estate-digital-twin title: Subak Patugan (3) - Full Agent Payload --- # Subak Patugan (3) - Full Agent Payload > Comprehensive spatial database and digital twin agent payload for Subak Patugan (3), specifying room hierarchy, viewpoints, and interaction parameters for internal AI guides and tour assistants. ------------------------------------------------------------------------ ## Project Description This document serves as the complete spatial database and agent payload for Subak Patugan (3), structured as a standardized digital twin asset. Designed for internal AI guides, tour assistants, and spatial navigation engines, it provides precise structural breakdowns of the property layout, including floor levels, spatial zones, and exact viewpoint coordinates for immersive navigation. ------------------------------------------------------------------------ ## What Is Subak Patugan (3)? Subak Patugan (3) is an apartment property located in Jakarta, formatted as a structured spatial dataset for AI navigation and virtual tour assistants. ------------------------------------------------------------------------ ## Key Details - **Property Type:** Apartment - **Address:** Subak Patugan, Jakarta - **Primary Asset Type:** Property ------------------------------------------------------------------------ ## What Does It Mean? ### Short Answer This payload establishes the definitive spatial hierarchy and navigation parameters for Subak Patugan (3), allowing AI agents to seamlessly guide users through the property's designated areas while maintaining accurate positional context. ------------------------------------------------------------------------ ## Main Concepts or Features ### 1. Spatial Hierarchy and Zones The property is mapped into discrete spatial zones, detailing individual rooms, floor assignments, and navigable viewpoints. Each zone is configured with specific coordinate anchors to facilitate smooth transitions and spatial awareness for virtual visitors. ### 2. Viewpoint Navigation Navigation within the digital twin relies on pre-defined viewpoint markers possessing exact 3D Cartesian coordinates and orientation angles (pitch, yaw, roll). These markers dictate the perspective and orientation of AI assistants and users as they traverse the property. ------------------------------------------------------------------------ ## How It Works / How to Use It 1. Initialize the agent payload within the spatial rendering environment.\ 2. Reference the `## Spatial Hierarchy` section to locate specific rooms and viewpoints.\ 3. Utilize viewpoint position and rotation coordinates to anchor camera perspectives and AI navigation paths. ------------------------------------------------------------------------ ## Why It Matters Structured agent payloads standardize spatial data ingestion, enabling AI systems to interpret real estate assets accurately, answer spatial queries reliably, and deliver precise virtual tour experiences. ------------------------------------------------------------------------ ## Common Mistakes - Assuming arbitrary coordinates for viewpoint placement instead of adhering to the defined spatial data.\ - Omitting floor level references when calculating multi-zone navigation paths.\ - Treating spatial zones as flat layouts without accounting for 3D positional orientation (pitch, yaw, roll). ------------------------------------------------------------------------ ## Pro Tips - Always cross-reference room-level viewpoints with the global spatial index for optimal pathfinding.\ - Utilize the concise Spatial Directory for rapid sitemap lookups before loading deep spatial payloads.\ - Maintain strict adherence to relative path structures when linking auxiliary resource documents. ------------------------------------------------------------------------ ## Summary - Defines the complete spatial database for Subak Patugan (3).\ - Catalogs room zones, floor levels, and exact viewpoint coordinates.\ - Establishes interaction rules and spatial context for AI tour assistants. ------------------------------------------------------------------------ ## FAQ ### What is an Agent Payload? An Agent Payload is a structured markdown document that functions as a spatial database and digital twin specification for AI navigation, tour guides, and spatial computing applications. ### How are viewpoints structured in this document? Viewpoints include precise 3D Cartesian coordinates (X, Y, Z) and orientation angles (Pitch, Yaw, Roll) to define exact camera positions within a room or spatial zone. ### Where can I find the lightweight sitemap for this property? The lightweight sitemap and index can be accessed via the Spatial Directory link located in the Data Payloads section below. ------------------------------------------------------------------------ ## Spatial Hierarchy ### Room - **Floor Level:** 1 - **Viewpoints:** - **Default:** Position: X=-0.95, Y=0.16, Z=-0.02 | Rotation: Pitch=0, Yaw=1.48, Roll=0 ------------------------------------------------------------------------ ## State and Interaction Rules The user can interact with the digital twin space by clicking on viewpoint markers to navigate between positions, querying spatial details regarding the property layout, and accessing linked directory resources for further information. ------------------------------------------------------------------------ ## Spatial Context The property consists of a single primary room area located on the first floor, centered around the Default viewpoint which provides the primary orientation anchor for the apartment space. ------------------------------------------------------------------------ ## Data Payloads - [Spatial Directory](/view/subak-patugan/llms.txt): Lightweight sitemap and index.