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
AI Deepfake Detector
AI Deepfake Detector is an AI iOS application designed to safeguard individuals and organizations from the growing threat of deepfake technology
$24.99 · In-app purchases
PRICE
$24.99
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'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 AI Deepfake Detector: map the core Business 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
Offer a competitive pricing strategy with a free tier.
Assumption to check: High subscription cost compared to competitors
Validate with people who use this workflow before building.
Hypothesis 2
Include more analysis tools and features in the free version.
Assumption to check: Limited feature set for the price
Validate with people who use this workflow before building.
Hypothesis 3
Optimize algorithms for faster results.
Assumption to check: Slow processing times for media analysis
Validate with people who use this workflow before building.
Hypothesis 4
Incorporate a feedback system to build trust.
Assumption to check: No user reviews or testimonials
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
AI Deepfake Detector is an AI iOS application designed to safeguard individuals and organizations from the growing threat of deepfake technology. Harnessing the power of advanced artificial intelligence, this app offers a reliable solution to discern whether an audio or video file has been artificially generated or is indeed authentic. Key Features: - AI Powered Analysis: At its core, the AI Deepfake Detector utilizes sophisticated algorithms to analyze the nuances in audio and video files, distinguishing between human-made content and deepfake creations. - Simple Upload Interface: Users can effortlessly upload any audio or video file directly into the app. The intuitive interface ensures a seamless user experience, catering to both tech-savvy individuals and those new to technology. - Probability Scores: Upon analysis, the app provides clear, quantifiable results. It assigns a probability score indicating the likelihood of the file being a deepfake, as well as the probability of it being human-generated. This dual-probability system enhances the decision-making process for users. - Combatting Scams and Misinformation: AI Deepfake Detector is more than just a tool; it's a shield against the dangers of deepfakes, such as scams, misinformation, and manipulation. By providing users with accurate assessments, it empowers them to make informed decisions about the content they encounter. Whether you're an individual seeking to verify the authenticity of content you encounter online, or an organization aiming to protect your operations from deceptive deepfake technology, AI Deepfake Detector offers a reliable, user-friendly solution. Join us in the fight against digital deception, and experience the peace of mind that comes with knowing the truth.
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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
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Axios
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expo-image-picker
BUILD KIT DIFFICULTY
Advanced
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.
