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.
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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.
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Combine features and design from your favorite apps.
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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 Ari Helper: map the core Productivity 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 task customization options.
Validate with people who use this workflow before building.
Hypothesis 2
Assumption to check: No collaboration features.
Validate with people who use this workflow before building.
Hypothesis 3
Assumption to check: No offline support.
Validate with people who use this workflow before building.
Hypothesis 4
Assumption to check: High subscription cost.
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.
Introducing Ari - Your Easy-to-Use AI Assistant! Meet Ari, your personal AI assistant, right on your device! Similar to ChatGPT-5 and other popular AI assistants, Ari operates entirely offline, meaning no need for an internet connection. Your privacy is our priority – Ari doesn't collect any of your personal data. Start Ari anywhere with Siri and App Intents — just say "Ask Ari," speak your question, and hear the answer back. Power users get a full Shortcuts catalog: Ask Ari with any model (Apple Intelligence, local, or cloud), start chats, generate and edit images, analyze PDFs, speak replies, change settings, queue Code Session tasks on Mac, and dispatch prompts to other devices — all chainable in Shortcuts. Ari is on your wrist too: the Apple Watch app remote-controls Ari on iPhone. Dictate from the "Ask Ari" complication or Smart Stack, watch answers stream in, hear them spoken, and hand long replies to iPhone. Questions queue when the phone is away; private chats stay off the watch. Conversations show up in Spotlight — including by what's in their images. Ari reads text and objects in chat pictures on-device so you can search for "that screenshot with the receipt". Private media is never indexed. With Sensitive Content Warning on, flagged images blur behind "Show Anyway" (verified adults can opt out). More to love: Text-to-Speech (device voice or Ava); long-press to copy or retry across models; syntax highlighting with one-tap code copy; Previous Chats synced via iCloud. On Apple Intelligence (iOS 26 / macOS 26 and later), Ari uses the on-device foundation model by default — private, no API key, no network. Attach images: on iOS 27 and macOS 27 the model sees them directly; on OS 26 Ari describes them on-device with the Vision framework (text, tables, barcodes, subjects). Prefer full vision models? Pick one from the menu. Download on-device models with a tap. First launch can install Google's Gemma 4 vision model sized to your device. Or paste a model URL. Self-host with Ollama or any OpenAI-compatible server — LM Studio, vLLM, llama.cpp, LiteLLM — by entering its address, or generate images with DrawThings over gRPC. Cloud providers with your own keys: OpenAI (GPT-5 family and GPT Image), xAI Grok (4.5 plus Grok Imagine), Anthropic Claude, Google Gemini (plus Imagen and Veo), and AWS Bedrock. Image-capable models accept photos; import text and source files. Cloud use reminds you each provider's privacy policy applies. On Mac, open a Code Session on a project folder with Grok for agentic tools — read, edit, search, git, shell, browser, web, and MCP — so Ari's GUI agent matches a terminal coding agent. Note: For strongest privacy with iCloud sync, enable Advanced Data Protection. Without it, conversations stay limited to your iCloud account but are not fully end-to-end encrypted. Optionally powered by Gemma 4 (HuggingFace) for offline chat and image understanding. Download Ari and keep your AI assistant at your fingertips!
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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.