🪨 Stone

Purpose

Stone redefines personal computing with an AI-first mobile device that places technology in service of human attention.


Problem

Current personal low-intelligence “smart” devices rely on asymmetric inputs and outputs: minimal physical inputs (touch and text) are made up for with overwhelming visual outputs, placing the cognitive burden entirely on users. The form factor itself incentivizes designers to maximize visual engagement and monetization.

As AI advances, this paradigm will limit technology’s potential to serve rather than consume human attention.


Solution

Stone replaces smartphones with a device that understands deeply but demands little. It acts as a bridge between humans and machines—serving as a digital delegate in the background, surfacing only what truly matters to the user.


Why Now

  • 🤖 AI capabilities (multimodal, on-device) have matured (2022–2024 inflection point)
  • 🧱 Incumbents (Apple & Google) are structurally trapped in attention economics
  • 👥 Consumers are seeking alternatives:
    • 📞 Light Phone — $3.5M raised
    • 🟠 Rabbit R1 — 100k units sold

Market Potential

The $843B smartphone industry has led to widespread digital fatigue.
We target the 50%+ of users reporting smartphone addiction, with average screen times exceeding 7 hours/day — a $200B+ TAM.

Stone creates a new market for human enhancement as AI and user needs evolve.


Competition

Incumbents are structurally unable to build Stone:

  • 🍎 Apple

    • 51.5% of revenue ($201B) from iPhone hardware
    • Services (24.6%, $96B, +13% YoY) depend on App Store screen engagement
  • 🔍 Google

    • 74% of Q1’25 revenue ($67B) from ad-based attention models

💡 Meanwhile, demand for alternatives is clear:

  • Light Phone: $3.5M+ raised
  • Rabbit R1: 100k+ units sold
  • Humane: $230M raised (despite poor execution)

Business Model

  • 🧱 Hardware sales
  • 💳 Monthly subscriptions
  • ⚙️ Usage-based pricing (Cursor model)

Financials

Seeking $500k pre-seed round to fund:

  • 🧪 Final product engineering
  • 🛠️ Prototype refinement
  • 🚚 Manufacture & distribution of 100 pilot units

Vision

The Apple of the AI age.
Stone begins as a handheld device, evolving alongside AI into more integrated forms (wearables, ambient, implants).
Always serving as the essential layer bridging and elevating human consciousness and machine intelligence.


🧠 Inspiration

We were frustrated by how smartphones haven't evolved beyond app silos. Even with AI assistants, tasks like sending emails, booking travel, or managing messages still require manual work.

We imagined a future where your phone becomes a true personal assistant — one that listens, reasons, and takes care of things for you. With Fetch.ai's and Anthropic’s agent-based ecosystem and MCP protocols, that future became possible. Stone was born.


⚙️ What It Does

Stone is an AI-native phone OS that replaces app-based workflows with intelligent conversations. You can ask it to:

  • ✉️ Write and send emails via Gmail MCP
  • 🧘 Reflect on your day using on-device context
  • ✈️ Book flights through agent-based travel services
  • 💬 Manage unread social messages from across platforms
  • 🔁 Automate tasks using a conversational interface

It leverages MCP and Fetch.ai agents to communicate with services dynamically and autonomously.


🛠️ How We Built It

  • 🧑‍💻 Frontend/UI — Chat-first interface with natural language input
  • 🕸️ Agent Layer — Built using Fetch.ai’s agent framework
  • 🔌 MCP Integration — Email, calendar, travel, social media
  • 🧠 Context Engine — Tracks local events (missed calls, messages, habits)
  • 📋 Conversation-Oriented Task Planner — Turns language into coordinated actions

🧱 Challenges We Ran Into

  • 🔍 MCP Discovery — Designing a scalable way for agents to find and trust each other
  • 🔐 Security — Ensuring data privacy while enabling broad context-sharing
  • 🔄 Orchestration — Getting multiple agents to work in sequence from a single command
  • 🧭 UX Design — Redefining OS interaction from touch to talk without confusion

🏆 Accomplishments We're Proud Of

  • ✅ Built a functional prototype of a conversational OS
  • 🔗 Integrated MCP-based workflows across email, travel, and messaging
  • 💡 Designed a reflection system with emotional + actionable insights
  • 🔁 Proved agent-based services can replace app-centric behavior
  • ✨ Delivered a demo that felt magical — like talking to a true smartphone

📚 What We Learned

  • 🧠 Autonomy is the new UX — Apps are over; agents are the future
  • 🔌 MCPs are game-changing — They turn APIs into discoverable services
  • 📈 Context is powerful — Even simple local signals unlock deep insights
  • 🗣️ Conversational design is subtle — requires care in intent handling
  • 🌐 Fetch.ai’s architecture enables scalable, real-world coordination

🔮 What’s Next: Welcome to the Stone Age

We believe Stone is just the beginning. The "Stone Age" is our playful way of saying that we're starting from first principles — redefining what it means to use a phone.

Upcoming:

  • 📦 Open SDK for developers to add new MCP agents
  • 🎙️ Voice-first interaction layer
  • 🔐 Secure on-device LLM integration
  • 🛍️ Expand agent marketplace via Fetch.ai
  • 🧪 Launch beta program for early adopters

Built With

Share this project:

Updates