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
Ask Milo: AI Chat Assistant
Talk to GPT, Gemini, Claude, Mistral, Groq, and 200+ AI models in one app — by voice and through Siri, including Siri in CarPlay
$8.99
PRICE
$8.99
No 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.
Build your own version
Build Kit
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A product spec, screen plans, and build steps for your coding agent.
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Combine features and design from your favorite apps.
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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 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 Ask Milo: AI Chat Assistant: 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
Talk to GPT, Gemini, Claude, Mistral, Groq, and 200+ AI models in one app — by voice and through Siri, including Siri in CarPlay. Switch providers anytime and stay in control of what is shared. KEY FEATURES • Multi-Provider AI — Use Google Gemini, Anthropic Claude, OpenAI, Mistral, Groq, or OpenRouter (200+ models). Switch anytime. • Siri Integration — Ask Milo anything hands-free, no need to open the app. • Voice-first AI through Siri in CarPlay — brief, driver-safe answers while you drive. • Voice Dictation — Speech-to-text for fast, hands-free chat. • Persistent History — Conversation history is saved locally on your device. • Bring Your Own Keys — API keys are stored securely in iOS Keychain and used only for direct requests to your selected provider. • Clear AI Data Permission — Before cloud AI is used, Milo explains what prompt/context data is sent, identifies the third-party AI providers, and asks for your permission. Milo is built for people who want one place to talk to many AI models — at home, at your desk, or on the road. Note: Cloud AI features require your own API key from at least one supported provider and permission to send prompts/context to that provider. On-device Apple Intelligence, where available, does not send prompts to third-party AI services.
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
Incorporate advanced NLP to improve context-aware responses.
Assumption to check: Users often find AI chat assistants lack contextual understanding.
Validate with people who use this workflow before building.
Hypothesis 2
Offer theme settings and notification preferences.
Assumption to check: Limited customization options for user preferences.
Validate with people who use this workflow before building.
Hypothesis 3
Implement a search feature for past chats.
Assumption to check: Navigating between chats can be cumbersome.
Validate with people who use this workflow before building.
Hypothesis 4
Enhance the AI with diverse training data to provide more varied responses.
Assumption to check: AI responses can be repetitive or generic.
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
Expo
React Navigation
Axios
Async Storage
React Native Paper
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.
