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
NAM Loader Pedal: AUv3 Plugin
Neural Amp Modeler (NAM) Loader brings the power of neural network-based amp modeling to your iOS device
$4.99 · In-app purchases
PRICE
$4.99
In-app purchases
BUSINESS MODEL
Paid
No overall Grossing estimate available
RATING
★ 4.8
9 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 included18 files
A product spec, phased build plan, differentiation notes, and screen references.
- START_HERE
- AGENTS
- EVIDENCE
- SPEC
- BUILD_PLAN
- DIFFERENTIATION
- skills/
- screens/
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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 NAM Loader Pedal: AUv3 Plugin: map the core Music 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
Expand effect library and allow user-generated effects.
Assumption to check: Limited effect options compared to professional pedals.
Validate with people who use this workflow before building.
Hypothesis 2
Optimize audio processing for real-time feedback.
Assumption to check: Audio lag issues during playback.
Validate with people who use this workflow before building.
Hypothesis 3
Add visual indicators for slider and toggle states.
Assumption to check: Lack of visual feedback for controls.
Validate with people who use this workflow before building.
Hypothesis 4
Simplify the purchasing flow and provide clearer trial information.
Assumption to check: In-app purchase process can be confusing.
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
Neural Amp Modeler (NAM) Loader brings the power of neural network-based amp modeling to your iOS device. Load any .nam model captured from real guitar amplifiers and cabinets, and play through them with the authentic feel and response of the original gear. Whether you're practicing with headphones, recording in GarageBand or AUM, or playing live through your favorite AUv3 host, NAM Loader delivers studio-quality amp simulation with the warmth and character of classic tube amps, the punch of solid-state, or the high-gain tones of modern metal — all from a single neural network model. Tone3000 Community Integration: • Browse thousands of community-created NAM models • Sign in with your Tone3000 account to access your saved tones • Download and load models directly within the app • Search by amp, pedal, or artist to find your perfect sound Key Features: • Load any standard .nam neural amp model • Built-in noise gate to keep your signal clean • Tone stack EQ (Bass, Middle, Treble) to shape your sound • Impulse Response (IR) support for cabinet simulation • AUv3 plugin — works with GarageBand, AUM, Cubasis, and more • Standalone mode with built-in audio input • MIDI CC mapping for hands-free parameter control • Low-latency processing for real-time performance • Perfect companion for Studio Camera and other music apps Note: This app requires an AUv3-compatible host app (such as GarageBand, AUM, or Cubasis) to function as a plugin. In standalone mode, it operates as an audio effects processor with full MIDI control. Download NAM Loader today and unlock the world's largest collection of neural amp models on your iPhone or iPad.
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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
Expo
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Zustand
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.
