Product Introduction
- Definition: Waylight for macOS is an on-device AI productivity assistant designed exclusively for Apple Silicon Macs (M1/M2/M3 chips, 2020+ models). It operates as a contextual memory engine, processing screen activity in real-time to build a searchable private knowledge base.
- Core Value Proposition: It eliminates manual note-taking and context switching by passively capturing meetings, documents, browser tabs, and messages, enabling instant AI-powered recall, automated task management, and daily progress tracking—all processed locally for maximum privacy.
Main Features
Contextual AI Chat:
- How it works: Waylight’s local LLM (optimized for Apple Neural Engine) indexes all on-screen content—PDFs, emails, meeting transcripts, and browser tabs—in real-time. When queried (e.g., "Find yesterday’s article about SEO trends"), it cross-references semantic patterns in its encrypted activity log without cloud dependency.
- Technologies: On-device transformers (similar to distilled BERT models), OCR-free screen understanding, and temporal indexing.
Auto-Generated Task & Journal System:
- How it works: The AI analyzes user behavior (app usage duration, document edits, calendar events) to infer actionable commitments. It synthesizes these into a live to-do list and end-of-day journal with timeline summaries (e.g., "Worked on Q3 report 2-4 PM in Google Docs").
- Technologies: Behavioral clustering algorithms and intent recognition trained on productivity workflows.
Privacy-First Activity Capture:
- How it works: All processing occurs locally via Apple’s Core ML framework. Users define retention rules (e.g., delete data after 30 days) and block sensitive apps/websites. Audit logs verify zero data exfiltration.
- Technologies: AES-256 encryption at rest, differential privacy for activity metadata, and on-device model quantization.
Problems Solved
- Pain Point: Fragmented digital workflow causing lost information ("I saw this doc last week—where is it?"), missed action items from meetings, and manual progress tracking.
- Target Audience:
- Knowledge workers (researchers, writers, analysts) juggling 50+ browser tabs/daily.
- Managers/Executives coordinating cross-team commitments across meetings/docs.
- Privacy-conscious professionals (legal, healthcare) requiring HIPAA/GDPR-compliant tools.
- Use Cases:
- Querying unattended meeting details weeks later verbatim.
- Recovering unsaved research from closed browser sessions.
- Generating daily standup reports from automated activity journals.
Unique Advantages
- Differentiation vs. Competitors: Unlike cloud-based AI tools (e.g., ChatGPT), Waylight requires no manual copy-pasting, operates offline, and indexes 100% of on-screen context—where competitors only process intentional inputs.
- Key Innovation: Patented "screen understanding" technology that interprets UIs as semantic units (not pixels), enabling accurate tab/document recall without OCR or cloud uploads.
Frequently Asked Questions (FAQ)
Is Waylight for macOS compatible with Intel-based Macs?
No—Waylight leverages Apple Silicon’s Neural Engine for real-time AI processing. It supports M-series chips only (2020+ Macs).How does Waylight ensure privacy for confidential work data?
All data processing occurs on-device with zero cloud uploads. Users control memory retention windows and can block specific apps/websites from being indexed.Can Waylight integrate with Zoom or Microsoft Teams meetings?
Yes—it passively captures meeting content via screen analysis (no API required) and indexes discussions for later querying (e.g., "What did Sarah say about the budget?").What languages does Waylight’s AI support?
Currently optimized for English text understanding, with multilingual support (Spanish, French, German) in development via local LLM fine-tuning.How does Waylight’s performance impact battery life?
Apple Silicon-optimized models consume <5% CPU during idle monitoring. Active queries trigger short Neural Engine bursts (<2 seconds), minimizing power drain.