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.
This app is built around a simple idea: bring a real local small-model AI experience to your phone.
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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.
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 Locallama: 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 event discovery options
Validate with people who use this workflow before building.
Hypothesis 2
Assumption to check: Inconsistent UI design
Validate with people who use this workflow before building.
Hypothesis 3
Assumption to check: Lack of user engagement features
Validate with people who use this workflow before building.
Hypothesis 4
Assumption to check: Poor app performance
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.
This app is built around a simple idea: bring a real local small-model AI experience to your phone. Instead of relying entirely on cloud processing, it lets you run AI on-device whenever possible, so conversations, imported content, and everyday usage can stay closer to your own device. It is designed for people who care about privacy, offline access, and the practicality of having a personal AI companion in their pocket. Key features: Local inference, with stronger privacy by design AI processing is designed to happen on your phone whenever possible, reducing the need to send your content to remote servers by default. This makes it a better fit for personal notes, drafts, ideas, and other privacy-sensitive content. A real mobile small-model experience Open the app and interact directly with on-device AI. It offers a fast, lightweight, and more personal way to explore what small models can do on a phone. Import OpenClaw workspaces Bring in your OpenClaw workspace so your existing content, structure, and workflows can travel with you. It is a practical way to continue using your workspace in a mobile, local-first environment. Offline availability Many core experiences remain useful without a stable connection, making the app convenient for commuting, travel, or low-connectivity situations. Personal, device-first AI Your models, content, and workflows stay closer to your own device, helping you build a more personal and controllable AI setup. Simple mobile workflow Made for quick questions, lightweight writing, note capture, browsing workspace content, and everyday AI interactions on the go. Important limitations: This app focuses on the real experience of local small models, not on overstating their capabilities. Because the models run locally and are relatively small: reasoning depth is more limited than large cloud models answers may be less accurate, less complete, or less stable on complex tasks long, highly technical, or multi-step requests may not perform as well performance depends on your device, including speed, memory, and thermal limits If you need the strongest possible reasoning, broad knowledge coverage, or consistently high performance on demanding tasks, large cloud models are still a better fit. But if you value privacy, offline use, local control, and the feeling of having AI truly running on your phone, this app offers a distinctive and practical alternative.
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.