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.
Discover the Ultimate Privacy-Focused AI Assistant on iOS: Private LLM
$4.99 · 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 Private LLM - Local AI Chat: 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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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 customization options for AI responses
Validate with people who use this workflow before building.
Hypothesis 2
Assumption to check: In-app purchase process can be confusing
Validate with people who use this workflow before building.
Hypothesis 3
Assumption to check: Lack of voice input functionality
Validate with people who use this workflow before building.
Hypothesis 4
Assumption to check: No way to export or share chat history
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.
Discover the Ultimate Privacy-Focused AI Assistant on iOS: Private LLM Unlock a new realm of productivity and creativity on your iPhone and iPad with Private LLM, the premier AI assistant designed with your privacy in mind. Available for a one-time purchase, it offers a range of AI capabilities without needing a subscription. Experience advanced on-device AI that keeps your interactions confidential and offline. Why Private LLM is Your Go-To AI Companion: - Exclusive AI Model Selection: Choose from a diverse set of open-source LLM models optimized for performance and perplexity on iOS with state of the art OmniQuant quantization: including models from Llama 2, Llama 3.2, Llama 3.1, Google Gemma 2, Gemma 3, Microsoft Phi-3, Mistral 7B, Qwen 2.5, Qwen 3, StableLM 3B and many more. Whether you need help with creative brainstorming, coding, or daily questions, customize your AI experience to meet your unique needs. - Integrated with Siri & Shortcuts: Enhance your AI interactions with Siri commands and customizable Shortcuts. Private LLM seamlessly fits within your Apple ecosystem, making your digital assistant more accessible. - Customizable Interactions: Tailor your AI's responses and interactions with customizable system prompts to match your preferences and needs. - Uncompromised Privacy and Security: With Private LLM, your conversations stay confidential and on your device. Our advanced on-device AI performs robust computing without risking data compromise or needing an internet connection. - Family Sharing & Offline Capabilities: Benefit from a one-time purchase that includes Family Sharing. Download models as needed and enjoy the full functionality of your AI assistant, even without internet access. Supported LLM Model families: - DeepSeek R1 Distill based models - Phi 4 based models - Qwen 3 based models (Qwen3-4B-Instruct-2507) - Qwen 2.5 based models (0.5B, 1.5B, 3B and 7B) - Qwen 2.5 Coder based Models (0.5B, 1.5B, 3B, 7B and 14B) - Llama 3.1 8B based models - Llama 3.2 1B and 3B based models - Google Gemma 2 2B and 9B based models - Google Gemma 3 1B based models - Mistral 7B based models - Yi 6B based models For a full list of supported models, including detailed specifications, please visit privatellm.app/models. Private LLM is not just a chatbot; it's a comprehensive AI companion designed to respect your privacy while providing versatile, on-demand assistance. Whether you're enhancing your creative writing, tackling complex programming challenges, or just seeking answers, Private LLM adapts to meet your needs while keeping your data secure. Start your journey with Private LLM today and elevate your productivity and creative projects with the most private AI assistant for iOS devices. Private LLM is a better alternative to generic llama.cpp and MLX wrappers apps like Enchanted, Ollama, LLM Farm, LM Studio, Locally AI, RecurseChat, etc on three fronts: 1. Private LLM uses a faster and highly-optimized mlc-llm based inference engine. 2. Models in Private LLM are quantized using the state of the art quantization algorithms like OmniQuant, while competing apps use naive round-to-nearest quantization. 3. Private LLM is a fully native app built using C++, Metal and Swift with deep integrations with iOS and iPadOS, while many of the competing apps are bloated and non-native Electron or Flutter based apps. Please note that Private LLM only supports inference with text based LLMs. Model support varies by device capabilities.
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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.