
Year
Platform
Category
Duration
Project Link
Overview
Problem
It's 2:58 PM. Your 3 PM meeting starts in two minutes. You had notes on this somewhere, Notion? Google Docs? Slack? You open four tabs searching. You find it at 3:04 PM. Everyone's been waiting.
The issue isn't bad tools. It's that good tools don't talk to each other. You lose time finding things instead of using them.
Target User: Knowledge workers managing multiple projects across disconnected apps who lose time searching, context-switching, and manually organizing workflows that follow predictable patterns.
Deliverables:
Core Interface designs
Feature Demonstrations
System Details
Competitive Landscape
The ALL IN ONE'S - Notion, ClickUp, Coda
Centralize everything, but require migrating your entire workflow into their ecosystem. Limitation: High adoption friction, doesn’t work with tools users already rely on.
THE APP AGGREGATORS - Station, Rambox, Wavebox
Organize multiple apps in one window. Limitation: Still manual navigation, no intelligence about timing or context.
THE AI ASSISTANTS - Google Assistant, Siri, Alexa
Execute single commands well. Limitation: Reactive, not proactive. No pattern learning or workflow prediction.
THE AUTOMATIONS - Zapier, IFTTT, Apple Shortcuts
Enable custom workflows through rules. Limitation: High setup effort, nothing adapts automatically over time.
THE LAUNCHER APPS - Alfred, Raycast, Spotlight
Fast search and shortcuts. Limitation: Search-based, requires knowing what to look for.
THE SMART WORKSPACE ANALYTICS - Microsoft Viva, Workplace Analytics
Surface insights and behavioral patterns. Limitation: Reporting only, doesn’t act on insights in real time.
It only detects the patterns and analyses
What Makes Sentience Different?
Hybrid Architecture: Standalone + Intelligence Layer
Complete productivity system (tasks, calendar, AI chat, focus modes)
Works immediately without integrations
Users can create tasks, schedule events, manage work independently
Intelligence Enhancement
Connects to Gmail, Slack, Google Drive, Calendar, etc.
Analyzes metadata only (filenames, timestamps, patterns)
Learns behavioral patterns across apps
Predicts what you need before you search
Key Differentiator
Metadata-only intelligence that's privacy-safe, content-blind, and behaviorally predictive.
Design System
INFORMATION ARCHITECTURE
IA Hierarchy overview
Competitive Positioning
Sentience
Vs
Technical constraints
Requires API access to multiple productivity apps
Pattern recognition needs minimum 1-2 weeks of data
Real-time context detection (location, focus mode) requires background processes
Scope decisions
Started with 5 core apps (Calendar, Docs, Slack, Email, Tasks) rather than trying to integrate everything
Focused on predictive surfacing rather than building new productivity features
Kept character interactions minimal to avoid annoyance
Alternative Approaches Considered
Widget-based dashboard
Rejected because it's just another aggregator. Doesn't solve the core problem of knowing what to look at.
Silent AI automation
Rejected because users don't trust predictions they don't understand. Character explanation was necessary for adoption.
Manual rule-setting
Rejected because it defeats the purpose. Users don't want to configure "if meeting ends, show these apps" the system should learn that.
Key Learnings
Conclusion
Sentience explores whether predictive interfaces can reduce the cognitive overhead of managing multiple productivity tools. The core bet is that context-aware surfacing showing the right app at the right moment based on learned patterns is more valuable than comprehensive dashboards that display everything.
As a concept project, the biggest open question is whether users will grant the level of access required for pattern analysis, and whether prediction accuracy can reach the threshold where it saves more time than it costs in wrong suggestions.
The next step would be prototyping one high-fidelity scenario to test whether AI predictions feel helpful or intrusive, and whether character-based explanations provide genuine value or just add visual noise.






























