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.
Opal AI is an offline AI app for iPhone that lets you run powerful AI models directly on your device
$5.99 · 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.
Kit ready. Verify your email to download it.
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.
JavaScript is required to complete mailbox verification.
Good fit for mobile-first iOS and Android prototypes with managed app scaffolding.
Rork plan preview for Offline Private AI Library: map the core Productivity workflow, choose the smallest differentiated feature set, define the data and monetization boundaries, then prototype the riskiest user journey first.
Preview ready. Verify your email to reveal and copy the full prompt.
JavaScript is required to complete mailbox verification. Return to this prompt preview.
Affiliate link: CloneChart may earn a commission at no extra cost
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: Users often find it hard to manage and organize offline content effectively.
Validate with people who use this workflow before building.
Hypothesis 2
Assumption to check: Limited search functionality in existing apps can make finding content difficult.
Validate with people who use this workflow before building.
Hypothesis 3
Assumption to check: Many apps in this category lack effective user onboarding.
Validate with people who use this workflow before building.
Hypothesis 4
Assumption to check: In-app purchase processes can be confusing or intrusive.
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.
Opal AI is an offline AI app for iPhone that lets you run powerful AI models directly on your device. Everything works completely offline; no internet, no accounts, no tracking. Just download once and use it anywhere, even in airplane mode. Your conversations stay on your iPhone and nowhere else. If you’re looking for offline AI that puts privacy first, Opal AI acts as both an offline AI chatbot and a private AI assistant, built for people who want full control over their data. Opal AI includes an offline private AI library that runs modern large language models locally on your device. All AI processing happens on-device, so you can chat with AI without an internet connection or cloud services. You can browse curated MLX-compatible models from Hugging Face, download them with pause and resume support, and chat in a clean, focused SwiftUI workspace; no sign-ups required. Why offline AI? Because privacy and reliability matter. Your prompts, responses, and custom instructions never leave your device. Once a model is downloaded, this offline AI app works fully offline, including in airplane mode. It’s ideal for sensitive research, travel, or teams that need secure, offline AI chat under strict data policies. Most AI apps rely on subscriptions, cloud servers, or data collection. Opal AI takes a different approach: it’s a one-time purchase with no subscriptions, no accounts, no ads, and no tracking. All AI runs locally on your device, with nothing sent to the cloud. Download and manage AI models Opal AI makes working with offline AI models simple: - Curated Qwen, Llama, Phi, and coder models, grouped by use case with size and language details - Save your own Hugging Face repo IDs or open Hugging Face directly in the app - Pause and resume large downloads, with reminders to keep the app open when needed - Remove models with a simple swipe to free up storage Chat smarter The offline AI chat experience is designed to stay out of your way: - Clean Markdown conversations with headings, lists, and code blocks - Quick starters to help you begin new chats - Share or export conversations as Markdown with timestamps - Pause or resume responses while they’re generating - Copy individual replies or remove specific messages from chat history - Clear status indicators when models are loading or busy Tune it your way Customize how your offline AI assistant behaves: - Light and dark themes with accent color options - Prompt profiles for reusable system and starter prompts - Forced language settings: Auto, English, or Russian - Controls for temperature, top-p, max tokens, context size, and repetition - One-tap reset to default settings anytime On-device processing This offline AI app is powered by MLX and LocalLLMClient for local inference. After a model is downloaded, all AI runs remain fully offline; no cloud calls. A system info view shows memory usage and device capabilities, helping you choose models that fit your iPhone. Opal AI is built for experimentation and learning. It’s not a replacement for professional advice and may sometimes produce incorrect or outdated information.
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.