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.
Use the LLM running on your home or office machine — from the device in your hand.
$2.99
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 Bridge - Multi LLM Client: 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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Original App Store material. Ratings and screenshots describe the existing app, not proof of demand for your version.
Use the LLM running on your home or office machine — from the device in your hand. Ollama and LM Studio have no official mobile app. LLM Bridge fills that gap. ■ It finds your server One tap finds the Ollama and LM Studio servers on your network. No walking over to the other machine to look up an IP address. Entering a remote address by hand still works. ■ Your conversations stay on your device Everything is stored locally. No account, no subscription, no transcript uploaded anywhere. Searchable, and you can collect individual question-and-answer pairs as favorites. ■ Built for reading A transcript, not chat bubbles. Code is set apart so it reads as code, and when a model emits its reasoning it is shown separately from the answer. Each answer records which model wrote it and how long it took. ■ Whatever model you want Switch provider and model in the middle of a conversation. Deepseek, Llama, Gemma, Qwen, Mistral — whatever your Ollama serves. ■ Cloud too Add your own Claude or OpenAI API key and use them from the same screen. ■ Also · Attach photos, text and RTF files — with a vision model, a photo becomes a question · Take a picture and ask about it · Custom instructions (system prompt) plus Temperature, Top P and Top K · Copy or share a single turn, or the whole conversation · Korean, English, Japanese, Chinese Local LLMs require a computer running Ollama or LM Studio.
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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 model options for users
Validate with people who use this workflow before building.
Hypothesis 2
Assumption to check: Slow response times
Validate with people who use this workflow before building.
Hypothesis 3
Assumption to check: User interface feels cluttered
Validate with people who use this workflow before building.
Hypothesis 4
Assumption to check: Limited functionality without account
Validate with people who use this workflow before building.
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.