# Grayhat Project: Ares

> The AI operating system for your desktop.

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## Summary

The AI operating system for your desktop.

## Project Resource Estimate

- People count: 3
- Estimated cost bucket: <5k USD
- Role composition: 1x Associate Software Engineer, 1x Engineering Manager, 1x Product Manager
- Estimation disclaimer: Figures are approximate and provided for transparency. Final project costs may vary based on scope, timeline, and evolving requirements.

## Project Details

- Project ID: `PROJ-0051`
- Slug: ares
- Status: Completed
- Client: Anish Shinde
- Category: External
- Start date: 2025-11-10
- End date: 2025-11-25
- Duration: 2 weeks
- Year: 2025
- Gallery attachments: 5
- Created at: 2026-06-08 02:50:20.878207
- Canonical Project: https://grayhat.studio/projects/ares
- Project API: https://grayhat.studio/api/public/v1/projects/ares

## Complete Description

Ares was an ambitious attempt by a founder in SF, to recreate the next generation of desktop assistants, inspired by emerging AI-native experiences like Sky.app. In an incredibly aggressive 2-week timeline, we approached the product not as just another AI chat application, but as a true Computer Use Agent capable of understanding and acting within a user's desktop environment.

Before writing a single feature, our team conducted extensive research into the evolution of desktop productivity — studying Spotlight, Alfred, ChatGPT Desktop, Claude Code, Manus, and Sky.app itself. We reverse-engineered user experiences, mapped workflows, and established a structured product development process to maximize velocity without sacrificing engineering discipline.

The resulting prototype featured a native-feeling Electron application with a Liquid Glass-inspired interface, achieving over 60% visual similarity to the original Sky experience. Under the hood, we integrated MCP servers and AppleScript-based desktop automation, allowing the AI to interact with macOS applications, execute multi-step workflows in a single request, create notes, manage files, and request explicit user permissions for privileged actions.

The project also explored a modern AI architecture using bundled MCP servers, local tool execution, and a flexible agent framework capable of expanding beyond simple chat interactions.

Although the project was ultimately shelved before completion, it demonstrated our ability to rapidly research, prototype, and engineer cutting-edge AI experiences at the frontier of human-computer interaction.

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