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.
App Overview
AlwaysOn AI
AlwaysOn AI (Beiwen) is an AI assistant for iPhone that works offline.
$4.99
PRICE
$4.99
No in-app purchases
BUSINESS MODEL
Paid
No overall Grossing estimate available
RATING
★ 5.0
2 ratings · Top 5%
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.
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Build Kit
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A product spec, screen plans, and build steps for your coding agent.
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What's included
A product spec, phased build plan, differentiation notes, and screen references.
- START_HERE
- AGENTS
- EVIDENCE
- SPEC
- BUILD_PLAN
- DIFFERENTIATION
- skills/
- screens/
Preview a sample Build Kit No email needed
Illustrative example: an invoice app for independent contractors. Your kit is tailored to the app you choose; this is not its generated content.
Screen plan
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.
Differentiate and validate
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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Free quick prompt For a smaller starting point
Quick prompt
Good fit for mobile-first iOS and Android prototypes with managed app scaffolding.
// RORK SYSTEM PROMPT
Rork plan preview for AlwaysOn AI: 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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App evidence
Original App Store material. Ratings and screenshots describe the existing app, not proof of demand for your version.
Screenshots
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App Store description
AlwaysOn AI (Beiwen) is an AI assistant for iPhone that works offline. In underground parking garages, on long flights, in remote mountain areas, or on unfamiliar streets abroad, network access can disappear without warning. You can still open Beiwen and ask right away, so you do not have to wait for the network to recover before getting AI guidance. The app uses an on-device local model: Q&A, translation, and image-assisted checks all run on your phone. Your content does not need to be uploaded to cloud services, giving you a clearer privacy boundary for travel, weak-signal, and sensitive scenarios. Think of AlwaysOn AI as a standby offline backup assistant: - Travel incidents and urgent situations: get step-by-step reference guidance when you lose connection - International communication and translation: keep communicating without stable network access - Network and device troubleshooting: run quick checks before you are back online - Privacy-sensitive tasks: keep ideas and context local to your device Core experience: - Enter the app immediately, even before the model is ready - Download and run local AI on device - Stream answers in chunks and stop at any time - Use images and short prompts for actionable references AlwaysOn AI is an on-device AI assistant that can still give you guidance anytime when the network is unreliable. Terms of Use: https://beiwen-app.github.io/legal/terms.html Privacy Policy: https://beiwen-app.github.io/legal/privacy.html
Written user reviews are not shown here. Check current App Store reviews >
Opportunities
AI-GENERATED OPPORTUNITY HYPOTHESES
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
Full offline with background sync
Assumption to check: No offline mode
Validate with people who use this workflow before building.
Hypothesis 2
Real-time sync with conflict resolution UI
Assumption to check: Sync issues
Validate with people who use this workflow before building.
Hypothesis 3
Minimal design, progressive feature disclosure
Assumption to check: Feature bloat
Validate with people who use this workflow before building.
Build scope
Plan a focused first version with your coding agent. These are planning assumptions, not a delivery guarantee.
Define the first version
Choose one audience and one core workflow. Use the kit to agree on its screens, data, and acceptance criteria before building.
Set boundaries
Decide which secondary features, integrations, and platform support can wait. Your version does not need to reproduce everything in the original.
Check the hard parts
Validate external services, specialist technology, data access, and ongoing costs for your chosen scope.
SUGGESTED BUILD STACK
React Native
Supabase
Expo
RevenueCat
BUILD KIT DIFFICULTY
Not assessed in a Build Kit yet.
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.
