SKI

Product Introduction

1. Definition: SKI is a desktop voice interface application (macOS/Windows) for AI-powered coding assistants, also known as coding agents. It functions as a local, full-duplex voice loop that enables developers to converse with tools like Claude Code, Cursor, and Codex.
2. Core Value Proposition: SKI exists to accelerate development workflows by enabling hands-free, conversational interaction with AI coding agents. Its primary value is closing the feedback loop: developers can speak their intent and receive audible, synthesized responses, allowing them to build software at the speed of thought without breaking their flow state.

Main Features

1. On-Device, Full-Duplex Voice Loop: SKI's core functionality is a private, local voice conversation engine. It uses on-device speech recognition to transcribe user speech to text and a local neural text-to-speech model to vocalize the agent's responses. The full-duplex architecture with echo cancellation allows users to interrupt the agent mid-sentence ("barge-in"), creating a natural, real-time dialogue.
2. Project-Aware Agent Integration: The software connects seamlessly to various coding agents (Claude Code, Cursor, Codex, Gemini CLI, OpenClaw) via simple one-click configurations. It can bind multiple code repositories simultaneously, allowing a developer to switch context between projects, with each project capable of having a distinct voice profile.
3. Local Meeting Transcriber & Agent Joiner: SKI includes a free, unlimited local meeting recorder that captures system and microphone audio for platforms like Zoom and Google Meet, transcribing it entirely on-device. As a paid feature via AgentCall integration, it can send the connected AI agent as an active participant or silent notetaker into the video call, complete with speaker diarization and screen-sharing capabilities.
4. Ambient, Context-Aware UI: On macOS, SKI docks into the menu bar notch (or creates a virtual one), presenting as a minimal black pill. On Windows, it floats as a draggable widget. The UI provides live status (a green dot for active listening), displays agent "thinking" and response text, and can capture screenshots via hotkey to provide visual context to the agent.

Problems Solved

1. Pain Point: Context switching and workflow disruption caused by moving hands from keyboard to mouse to type queries for an AI coding assistant. This breaks deep focus and slows down the iterative coding process.
2. Target Audience: Software engineers, developers, and technical leads who regularly use AI coding assistants like Claude Code or Cursor within their IDE. It is particularly valuable for developers practicing pair programming with an AI, those managing multiple projects, or professionals who need to code during or immediately after meetings.
3. Use Cases: A developer verbally debugging a complex function while reviewing error logs; a lead architect describing a new feature specification out loud and having the agent generate the initial code structure; joining a planning meeting and having the agent take technical notes or even answer questions live; quickly prototyping a UI component by describing it verbally and seeing the code generated and spoken back.

Unique Advantages

1. Differentiation: Unlike standard speech-to-text dictation tools that merely input text, SKI establishes a two-way auditory communication channel. Unlike cloud-based voice assistants, all audio processing is local, ensuring privacy and enabling offline functionality. Its deep integration with specific coding agents (not a generic chatbot) makes it a specialized tool for development.
2. Key Innovation: The integration of a high-quality, local full-duplex voice pipeline specifically tuned for developer-agent interaction. The combination of on-device processing, barge-in capability, project-context awareness, and the dual functionality of local recording/cloud agent-joining creates a unique "ambient intelligence" layer for the developer's workspace.

Frequently Asked Questions (FAQ)

1. Is SKI just a voice dictation tool for programmers? No. While dictation tools stop at converting speech to text, SKI creates a closed-loop conversational interface. It takes your speech, sends it to your AI coding agent, executes the agent's workflow (code generation, analysis, etc.), and then vocalizes the agent's comprehensive response back to you in a natural voice.
2. How does SKI ensure my proprietary code and conversations remain private? SKI is architected for local-first privacy. Your voice audio is converted to text on your machine using local models and is never uploaded to the cloud. Communication with your coding agent occurs through files within your local project directory. The core voice and transcription features work entirely offline.
3. Can I use SKI with any AI model or chatbot? SKI is specifically designed to integrate with dedicated AI coding agents that can operate in a developer's environment, such as Claude Code, Cursor's agent, or Codex. It is not a general-purpose interface for cloud-based LLM chatbots like ChatGPT's web interface.
4. What are the system requirements for running SKI locally? For macOS, you need an Apple Silicon Mac (M1 or later) running macOS 14.4 (Sonoma) or newer. For Windows, you need Windows 10 or 11 (64-bit). These requirements are due to the need for local NPU/CPU performance to run the neural speech recognition and synthesis models efficiently.
5. What is the cost structure for SKI's meeting transcription and agent joining features? The SKI application itself, including its local voice loop and on-device meeting transcription, is free forever. The only paid feature is the "AgentCall" service, which allows your AI agent to join video calls as an active participant. This is billed on a per-minute basis, with free introductory minutes included.