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
ScamShield: AI Scam Detector
ScamShield is an AI-powered scam detector that helps you identify phishing messages, fraud attempts, and suspicious links instantly.
$1.99 · In-app purchases
PRICE
$1.99
In-app purchases
BUSINESS MODEL
Paid
No overall Grossing estimate available
RATING
N/A
No ratings yet
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 should your app do differently? Your note travels with the kit so your coding agent builds around your idea.
What's included16 files
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 ScamShield: AI Scam Detector: map the core Lifestyle workflow, choose the smallest differentiated feature set, define the data and monetization boundaries, then prototype the riskiest user journey first.
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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
Enhance AI algorithms for better accuracy.
Assumption to check: Inaccurate scam detection leading to false positives/negatives.
Validate with people who use this workflow before building.
Hypothesis 2
Add community features for user interaction.
Assumption to check: Limited user engagement features.
Validate with people who use this workflow before building.
Hypothesis 3
Simplify pricing structure or offer more visible value.
Assumption to check: Subscription fatigue with multiple tiers.
Validate with people who use this workflow before building.
Hypothesis 4
Implement user reviews and feedback for continuous improvement.
Assumption to check: Lack of user feedback mechanisms.
Validate with people who use this workflow before building.
App evidence
Original App Store material. Ratings and screenshots describe the existing app, not proof of demand for your version.
App Store description
ScamShield is an AI-powered scam detector that helps you identify phishing messages, fraud attempts, and suspicious links instantly. Protect yourself from scams by scanning SMS messages, emails, URLs, or screenshots using advanced AI detection technology. Whether you receive a suspicious message or a questionable link, ScamShield analyzes the content and tells you if it’s safe or dangerous. Key Features AI Scam Detection Advanced AI analyzes suspicious messages to detect scams, phishing attempts, and fraud signals. Scan Messages Instantly Check suspicious SMS, text messages, emails, or copied text. URL Safety Check Analyze suspicious links and detect malicious domains. Screenshot Scanner Upload screenshots and let the AI extract and analyze the text using OCR. Real-Time AI Analysis Multiple detection modules analyze urgency patterns, impersonation attempts, and fraud signals. Confidence Score Get a clear AI confidence percentage explaining how safe the message is. 100% On-Device Privacy All analysis runs locally on your device to ensure maximum privacy and security. Why ScamShield? Scams and phishing attacks are increasing every day. ScamShield helps you detect: • Phishing messages • Fake support scams • Impersonation attacks • Financial fraud messages • Suspicious links • Social engineering attempts Stay protected and verify suspicious messages before you respond. Who is it for? ScamShield is perfect for: • Everyday users • Crypto users • Online shoppers • Investors • People receiving suspicious messages Privacy First Your data never leaves your device. All scam detection runs locally with AI on your phone, ensuring full privacy.
Written user reviews are not shown here. Check current App Store reviews >
Screenshots
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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
Expo
Supabase
react-native-paper
react-query
Zustand
BUILD KIT DIFFICULTY
Intermediate
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.
