Developer Tool

Nexus Canvas

Nexus Canvas - Adverant Developer Tools documentation.

Adverant Research Team2025-12-084 min read971 words

Development Status: Nexus Canvas is in early development as a proof-of-concept for Personal Brain as a Service (PBaaS). This document describes architectural vision and design goals for the mobile application. Performance metrics (latency targets, benchmarks) are design targets based on architectural analysis, not measurements from production deployments. The application is not yet available for public download.

Nexus Canvas

Personal Brain as a Service (PBaaS) - A next-generation mobile application designed specifically for foldable devices, enabling infinite canvas workspaces with hybrid AI capabilities.

Overview

Nexus Canvas reimagines personal knowledge management for the foldable device era. Built with Kotlin Multiplatform, it provides an infinite spatial canvas where ideas, notes, and AI-generated insights coexist in a fluid, zoomable workspace.

Key Capabilities

  • Infinite Canvas Workspace: Pan and zoom through unlimited spatial workspace
  • Hybrid AI Architecture: Seamless blend of on-device and cloud AI processing
  • Adaptive Foldable UI: Automatically adapts to folded, unfolded, and tabletop modes
  • Real-time Collaboration: Share and collaborate on canvas spaces
  • Offline-First: Full functionality without network connectivity

Architecture

Kotlin Multiplatform Foundation

nexus-canvas/
├── shared/                 # Shared Kotlin code
│   ├── domain/            # Business logic
│   ├── data/              # Repository pattern
│   └── presentation/      # ViewModels
├── androidApp/            # Android-specific UI
│   ├── canvas/           # Infinite canvas implementation
│   ├── foldable/         # Foldable device adaptations
│   └── ai/               # AI integration
└── iosApp/               # iOS target (future)

Hybrid AI Engine

Nexus Canvas intelligently routes AI tasks between local and cloud processing:

Task TypeProcessingLatency
Text completionLocal (on-device)<50ms
Semantic searchLocal with cloud fallback<100ms
Image understandingCloud<500ms
Knowledge synthesisCloud<1000ms

Features

Infinite Canvas

The core innovation is the infinite, zoomable canvas workspace:

  • Spatial Organization: Place ideas anywhere in 2D space
  • Semantic Clustering: AI automatically groups related content
  • Navigation: Minimap and bookmarks for quick access
  • Multi-scale Views: From overview to detail with smooth transitions

Foldable Device Optimization

Purpose-built for Google Pixel Fold and similar devices:

  • Posture Detection: Responds to fold angle changes
  • Continuity: Seamless state transfer between screens
  • Tabletop Mode: Special canvas view for half-folded position
  • Flex Mode: Optimized layouts for various fold positions

AI Capabilities

Powered by the Nexus AI infrastructure:

  • Smart Capture: Intelligent extraction from images, audio, and text
  • Knowledge Linking: Automatic connections between related concepts
  • Insight Generation: AI-powered summaries and discoveries
  • Natural Language Queries: Ask questions about your knowledge base

Getting Started

Prerequisites

  • Android device (API 24+) or Pixel Fold recommended
  • Google Play Services for cloud AI features

Installation

Download from the releases page or build from source:

Bash
9 lines
# Clone the repository
git clone https://github.com/adverant/Nexus-Canvas.git

# Build Android app
cd Nexus-Canvas
./gradlew :androidApp:assembleDebug

# Install on device
adb install androidApp/build/outputs/apk/debug/androidApp-debug.apk

Quick Start

  1. Create a Canvas: Tap the + button to create a new workspace
  2. Add Content: Long-press anywhere to add notes, images, or AI prompts
  3. Navigate: Pinch to zoom, two-finger pan to move
  4. Connect Ideas: Drag from one item to another to create links
  5. Ask AI: Use the AI assistant to query your knowledge

Configuration

AI Settings

Configure hybrid AI behavior in Settings > AI:

Kotlin
6 lines
// Example: Prefer local processing
canvasSettings.aiConfig = AiConfig(
    preferLocalProcessing = true,
    cloudFallbackEnabled = true,
    localModelPath = "models/nexus-small.tflite"
)

Sync Settings

Configure cloud sync in Settings > Sync:

  • Sync Frequency: Real-time, hourly, or manual
  • Conflict Resolution: Keep local, keep cloud, or merge
  • Selective Sync: Choose which canvases sync to cloud

API Reference

Canvas Operations

Kotlin
12 lines
// Create a new canvas
val canvas = CanvasManager.create("My Ideas")

// Add an item
canvas.addItem(
    content = "Important thought",
    position = Point(100f, 200f),
    type = ItemType.NOTE
)

// Query with AI
val results = canvas.aiQuery("What are my main project themes?")

AI Integration

Kotlin
7 lines
// Local AI processing
val localAi = NexusAI.local()
val completion = localAi.complete("Start of idea...")

// Cloud AI for complex tasks
val cloudAi = NexusAI.cloud()
val synthesis = cloudAi.synthesize(selectedItems)

Performance

Benchmarks (Pixel Fold)

MetricValue
Cold start<800ms
Canvas render (1000 items)60fps
Local AI completion<50ms
Memory usage<150MB

Optimization Techniques

  • Virtualized Rendering: Only visible items are rendered
  • Progressive Loading: Content loads as you zoom in
  • Background Processing: AI tasks run on dedicated threads
  • Smart Caching: Frequently accessed content cached locally

Roadmap

Current Release (v1.0)

  • Infinite canvas with basic items
  • Foldable device support
  • Local AI (text completion)
  • Basic cloud sync

Upcoming (v1.1)

  • iOS support via Kotlin Multiplatform
  • Collaborative editing
  • Enhanced AI features
  • Voice input

Future

  • Desktop companion app
  • Plugin system
  • API for third-party integrations
  • Enterprise features

Contributing

We welcome contributions! See our Contributing Guide for details.

Development Setup

Bash
4 lines
# Install Android Studio with Kotlin plugin
# Open project in Android Studio
# Sync Gradle dependencies
# Run on device or emulator

Support

License

Nexus Canvas is released under the MIT License. See LICENSE for details.