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.
Your Phone Is Now an AI Server
$17.99 · In-app purchases
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.
A product spec, screen plans, and build steps for your coding agent.
First kit free with a verified email
Combine features and design from your favorite apps.
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Generating… usually about a minute.
What should your app do differently? Your note travels with the kit so your coding agent builds around your idea.
A product spec, phased build plan, differentiation notes, and screen references.
Illustrative example: an invoice app for independent contractors. Your kit is tailored to the app you choose; this is not its generated content.
Goal: Send a clear invoice after finishing a job.
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.
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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Good fit for mobile-first iOS and Android prototypes with managed app scaffolding.
Rork plan preview for LLM Server: map the core Business workflow, choose the smallest differentiated feature set, define the data and monetization boundaries, then prototype the riskiest user journey first.
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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
Assumption to check: Limited user feedback and reviews suggesting lack of reliability
Validate with people who use this workflow before building.
Hypothesis 2
Assumption to check: High price point may deter users
Validate with people who use this workflow before building.
Hypothesis 3
Assumption to check: Complexity in managing multiple models
Validate with people who use this workflow before building.
Hypothesis 4
Assumption to check: Lack of educational resources or tutorials
Validate with people who use this workflow before building.
Original App Store material. Ratings and screenshots describe the existing app, not proof of demand for your version.
Your Phone Is Now an AI Server LLM Server turns your iPhone or iPad into a private AI inference server. Run large language models entirely on-device, expose an OpenAI-compatible API to your local network, and chat with your model from any browser on any device — laptop, desktop, tablet, even another phone. No cloud, no subscription, no data leaving your hardware. Chat From Any Browser on Your Network Start the server and open the URL on any device sharing your Wi-Fi. The built-in web interface gives you a clean chat UI instantly — no client app to install, no account to create. Your laptop, your partner's tablet, a colleague's machine: all talking to a model running on your phone. OpenAI-Compatible API, Drop-In Ready A standard OpenAI-compatible API means LLM Server slots into any tool you already use — Continue, Open WebUI, LangChain, custom scripts, the lot. Chat completions, text completions, streaming (SSE), and model listing endpoints all supported. Ollama CLI commands work too. Fully Offline, Fully Yours - Download a GGUF model once and you're done with the cloud. Inference runs locally on Apple Metal GPU with no internet required. Your prompts, your conversations, your data — none of it leaves the device. Airplane mode works fine. Any GGUF Model From Hugging Face - Browse and download directly from Hugging Face with built-in search, or import your own files. LLaMA, Mistral, Phi, Gemma, Qwen, DeepSeek, and every other llama.cpp-supported architecture runs out of the box. Background downloads with progress tracking so you can keep working. Enterprise-Grade Security - TLS/HTTPS encryption — generate self-signed certificates or import your own chain and private key. - API key authentication — Bearer tokens with per-key management. Generate cryptographically secure keys or bring your own. - Bind control — lock to localhost, open to your LAN, or pin to a specific interface. Tune Every Knob Full control over generation: context size up to 32K, temperature, top-p, top-k, repeat penalty, frequency and presence penalties, max tokens, seed, GPU layer offloading, and thread count. Save presets globally or per model. Smart Resource Management Your phone stays responsive under load. Real-time thermal monitoring with automatic thread reduction under pressure and request rejection at critical temperatures. Memory-aware model loading with conservative budgeting. Configurable request queues and per-request timeouts. Built for Developers - Live API docs with copy-paste curl examples - Structured logging (debug, info, warning, error) - One-tap copy for server addresses and API keys What's Inside Dashboard with one-tap server control, model manager with download progress, complete settings hub (server, inference, security, API keys, developer tools), and guided onboarding for first-time setup.
Written user reviews are not shown here. Check current App Store reviews >
Plan a focused first version with your coding agent. These are planning assumptions, not a delivery guarantee.
Choose one audience and one core workflow. Use the kit to agree on its screens, data, and acceptance criteria before building.
Decide which secondary features, integrations, and platform support can wait. Your version does not need to reproduce everything in the original.
Validate external services, specialist technology, data access, and ongoing costs for your chosen scope.
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.