App Overview

ETOS LLM Studio icon

ETOS LLM Studio

琳 李 · Utilities

Welcome to ETOS LLM Studio—a native AI client born out of a boring high school classroom that has ultimately evolved into a hardcore geek powerhouse.

$2.99 · In-app purchases

PRICE
$2.99
In-app purchases
BUSINESS MODEL
Paid
No overall Grossing estimate available
RATING
5.0
1 ratings · Top 5%

Evidence scope: No current overall US chart position is available. Category-chart positions shown in discovery are a separate scope. Revenue is a directional model estimate, not verified earnings.

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Build Kit

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A product spec, screen plans, and build steps for your coding agent.

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What's included16 files

A product spec, phased build plan, differentiation notes, and screen references.

  • START_HERE
  • AGENTS
  • EVIDENCE
  • SPEC
  • BUILD_PLAN
  • DIFFERENTIATION
  • skills/
  • screens/
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Illustrative example: an invoice app for independent contractors. Your kit is tailored to the app you choose; this is not its generated content.

Feature spec

Goal: Send a clear invoice after finishing a job.

  • Add a client, line items, a due date, and payment instructions.
  • Preview the total before exporting a PDF.
  • Keep an editable draft if export fails.

Screen plan

Invoice editor: Client at the top, editable line items in the middle, total and preview action at the bottom.

States: Empty draft, validation errors beside each field, exporting, and a retry action that preserves the draft.

Differentiate and validate

Hypothesis: Contractors need faster repeat invoices more than more templates.

First experiment: Test duplicating a previous job with five contractors. Watch where they hesitate before expanding the feature set.

The full kit adds a phased build plan, evidence notes, tool prompts, and implementation guidance. It is a plan for your coding agent, not a finished app.

Usage: Mechanics are fair game; never reuse the original name, branding, assets, or verbatim copy.

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Quick prompt

> SELECT BUILD PLATFORM:

Good fit for mobile-first iOS and Android prototypes with managed app scaffolding.

// RORK SYSTEM PROMPT
Rork plan preview for ETOS LLM Studio: map the core Utilities workflow, choose the smallest differentiated feature set, define the data and monetization boundaries, then prototype the riskiest user journey first.
            

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Opportunities

AI-GENERATED OPPORTUNITY HYPOTHESES

These are generated suggestions, not verified review quotations. Check current App Store reviews and speak with users before treating a possible gap as a requirement.

Hypothesis 1

Include more tools and features for user engagement.

Assumption to check: Limited functionality compared to other similar apps

Validate with people who use this workflow before building.

Hypothesis 2

Implement offline mode for better usability.

Assumption to check: No offline capabilities

Validate with people who use this workflow before building.

Hypothesis 3

Simplify UI for better user experience.

Assumption to check: User interface feels crowded

Validate with people who use this workflow before building.

Hypothesis 4

Allow users to customize the appearance and functionality.

Assumption to check: Limited customization options

Validate with people who use this workflow before building.

App evidence

Original App Store material. Ratings and screenshots describe the existing app, not proof of demand for your version.

App Store description

Welcome to ETOS LLM Studio—a native AI client born out of a boring high school classroom that has ultimately evolved into a hardcore geek powerhouse. Here, AI is no longer a dull chatbox, but an all-around assistant seamlessly integrated into your digital life. Whether you want to awaken top-tier intelligence on your wrist at any moment, or build your exclusive local knowledge base and virtual personas on your phone, ETOS delivers an uncompromising, ultimate experience. [Core Highlights] Native Dual-Platform, A Universe on Your Wrist Deeply optimized for iOS and watchOS, refusing the compromises of watered-down versions. We have entirely rebuilt the chat interaction on Apple Watch, supporting streaming output, voice input, and complex concurrency, while achieving seamless real-time synchronization of configs, sessions, and tools across both platforms. Multi-Model Engine & Absolute Control Native support for mainstream providers like OpenAI, Anthropic (Claude), and Google (Gemini). We give the power back to you: customize request headers, dynamically configure model parameters, or even directly modify the raw JSON request body, satisfying a geek's desire for absolute API control. Memory Accumulation & Worldbook Engine Local RAG Memory: Your data belongs to you. Built with a fully local SQLite vector database supporting text chunking and embeddings, giving your AI genuine long-term memory. Worldbook Engine: Supports highly customizable character backgrounds, conditional triggers, and system prompt injections. Fully compatible with mainstream Worldbook formats, ready to unlock deep role-playing and immersive conversations anytime. Daily Pulse Break the passive "Q&A" deadlock. Every morning, the system synthesizes your long-term memory, recent conversations, and external signals to proactively generate high-value intelligence cards. These seamlessly transform into to-dos and chat prompts, forming a perfect positive feedback loop. Boundless Extension & Automation Fully integrated with MCP (Model Context Protocol), supporting remote tool calling and capability negotiation. Deeply integrated with Siri Shortcuts and connected with the local file system via URL Schemes, extending the AI's reach to every corner of your device. Supports dual-engine (System / Cloud) TTS (Text-to-Speech) reading, giving your AI a real voice. [About the Developer & Open Source Commitment] I am a high school student with a deep passion for computer technology. The original intention behind developing this app was simply that I was tired of the expensive and crippled AI software on the market. So, I decided to take matters into my own hands and build the ultimate client for my daily-use Mac and Apple Watch. Due to the extremely high Apple Developer annual fee, the App Store version charges a symbolic fee. Consider it a crowdfunding effort to help me pay off the debt, while you buy the convenience of not having to compile and tinker with it yourself. But technology should be shared; open source is my bottom line. The complete source code of ETOS LLM Studio (over 88,000 lines) is fully open-sourced on GitHub under the GPLv3 license. If you are also a geek who loves tinkering, you are completely free to pull the code, compile, and install it yourself for free. No matter how you found your way here, welcome to the world of ETOS. Are you ready to start the next conversation with your AI?

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Screenshots

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Build scope

Plan a focused first version with your coding agent. These are planning assumptions, not a delivery guarantee.

Define the first version

Choose one audience and one core workflow. Use the kit to agree on its screens, data, and acceptance criteria before building.

Set boundaries

Decide which secondary features, integrations, and platform support can wait. Your version does not need to reproduce everything in the original.

Check the hard parts

Validate external services, specialist technology, data access, and ongoing costs for your chosen scope.

SUGGESTED BUILD STACK
React Native
Expo
Axios
React Navigation
Clipboard API
TypeScript
BUILD KIT DIFFICULTY
Intermediate

From the Build Kit assessment.

A reliable timeline needs an agreed scope and a technical check. Ask your agent to estimate the phases in BUILD_PLAN.md after that review.