Clippy, but on Steroids

Product Introduction

1. Definition: Clippy is a macOS-native AI productivity assistant leveraging local large language models (LLMs) for contextual text generation. It operates as an overlay that integrates directly with active text fields across applications.
2. Core Value Proposition: Eliminates manual copy-pasting by inserting AI-generated responses contextually into workflows via voice/text commands, prioritizing privacy through fully local processing.

Main Features

1. Contextual In-Place Editing:
   • How it works: Monitors active text fields (e.g., emails, docs) using macOS accessibility APIs. Local LLMs (e.g., quantized Mistral, Llama 2) process requests and paste outputs directly into the target field.
   • Technologies: On-device model inference (via Ollama/LM Studio), system-level event monitoring.
2. Voice Command Execution:
   • How it works: Converts speech to text via local Whisper.cpp models, processes commands through LLMs, and executes actions (e.g., "Create Linear ticket for bug fix").
   • Technologies: Offline speech-to-text, natural language understanding (NLU), Linear/Google Calendar API integrations.
3. Stealth Mode UI:
   • How it works: Non-intrusive popup triggered by global shortcut (⌘+Shift+C). Auto-hides post-task completion using macOS window management protocols.
   • Technologies: Swift/Objective-C frameworks for low-latency overlay rendering.

Problems Solved

1. Pain Point: Disrupted workflows from switching apps to use AI tools; privacy risks of cloud-based LLMs handling sensitive data.
2. Target Audience:
   • Privacy-focused professionals (legal, healthcare).
   • Developers/content creators needing rapid text generation.
   • Executives managing calendars/tasks via voice.
3. Use Cases:
   • Drafting client emails in Gmail without leaving the tab.
   • Creating Linear tickets during coding sessions via voice.
   • Editing Google Calendar events hands-free during meetings.

Unique Advantages

1. Differentiation:
   • Outperforms cloud-dependent tools (e.g., ChatGPT desktop) with offline functionality and zero data transmission.
   • Surpasses snippet tools (e.g., TextExpander) via contextual LLM intelligence.
2. Key Innovation:
   • First macOS assistant combining local LLMs, system-level context awareness, and voice-controlled app integrations (Linear/Calendar) in a single lightweight (<100MB) package.

Frequently Asked Questions (FAQ)

1. Does Clippy require an internet connection?
   No, Clippy processes all data locally using on-device LLMs and speech models, ensuring full offline functionality.
2. How does Clippy maintain user privacy?
   All AI inference occurs on-device; no data is sent to external servers, complying with GDPR/hipaa standards for sensitive information.
3. Which macOS versions are supported?
   Compatible with macOS Sonoma (14.0+) and Apple Silicon (M1/M2/M3) or Intel x86_64 architectures.
4. Can Clippy integrate with other apps besides Linear/Calendar?
   Current v0.4.0-alpha.4 supports Linear and Google Calendar; future updates will add APIs for custom integrations.
5. What local LLMs does Clippy support?
   Optimized for quantized models (e.g., Mistral 7B, Llama 3 8B) via Ollama, with automatic prompt templating for context awareness.