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.
Vanta Client is a multi-provider AI chat app that puts you in control
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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 Vanta 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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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: Poor user feedback on status checks
Validate with people who use this workflow before building.
Hypothesis 2
Assumption to check: Limited customization options
Validate with people who use this workflow before building.
Hypothesis 3
Assumption to check: Lack of historical data insights
Validate with people who use this workflow before building.
Hypothesis 4
Assumption to check: No integration with external services
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.
Vanta Client is a multi-provider AI chat app that puts you in control. Bring your own API keys, connect any provider, or run models entirely on your device. No subscription. One purchase, full access, forever. WORKS WITH ANY PROVIDER Connect to OpenAI, Anthropic, Google Gemini, OpenRouter, Ollama, vLLM, or any OpenAI-compatible endpoint. Switch between providers and models mid-conversation. Add custom providers with a single URL. ON-DEVICE INFERENCE Browse the entire HuggingFace GGUF library. Download models directly to your iPhone. Run them offline with llama.cpp — no internet, no API key, no per-token cost. Your data never leaves your phone. MODEL CONTEXT PROTOCOL (MCP) Connect your AI to external tools and data sources. Search documentation, fetch live data, browse the web — all from a single conversation. MCP works with any provider. GROUP INTELLIGENCE Put multiple LLMs in one chat room. Assign roles — Devil's Advocate, Pragmatist, Genius. Set adversarial mode. Let models argue, deliberate, and reach answers one model never could. PROMPT ENGINEERING Generate complete system prompts with AI. Describe the assistant you need in plain English and get a structured, ready-to-use prompt in seconds. Save prompts to your library. MEMORY & CONTEXT Vanta remembers across conversations. Automatic memory extraction, deduplication, and embedding-based recall. Configure token budgets, similarity thresholds, and summarization templates. BUILT FOR DEPTH Live context tracking with token-level visibility. Message, tool, and system token breakdown. Auto-summarization when context runs low. Custom compaction templates. Full control over every parameter. Text-to-speech powered by ElevenLabs. Beautiful markdown and code rendering with syntax highlighting. Dark mode throughout. Designed for people who use AI seriously. Your keys. Your models. Your rules. One price.
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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.