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.
LM Manager Pro is a native iOS and iPadOS app for developers and AI enthusiasts who run their own language model infrastructure
$1.99 · In-app purchases
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.
A product spec, screen plans, and build steps for your coding agent.
First kit free with a verified email
Combine features and design from your favorite apps.
Kit ready. Verify your email to download it.
Generating… usually about a minute.
What should your app do differently? Your note travels with the kit so your coding agent builds around your idea.
A product spec, phased build plan, differentiation notes, and screen references.
Illustrative example: an invoice app for independent contractors. Your kit is tailored to the app you choose; this is not its generated content.
Goal: Send a clear invoice after finishing a job.
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.
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.
JavaScript is required to complete mailbox verification.
Good fit for mobile-first iOS and Android prototypes with managed app scaffolding.
Rork plan preview for LM Manager Pro: map the core Productivity workflow, choose the smallest differentiated feature set, define the data and monetization boundaries, then prototype the riskiest user journey first.
Preview ready. Verify your email to reveal and copy the full prompt.
JavaScript is required to complete mailbox verification. Return to this prompt preview.
Affiliate link: CloneChart may earn a commission at no extra cost
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
Assumption to check: Users often find it hard to manage tasks in a cluttered interface.
Validate with people who use this workflow before building.
Hypothesis 2
Assumption to check: Lack of reminders or notifications leads to missed tasks.
Validate with people who use this workflow before building.
Hypothesis 3
Assumption to check: Limited project organization features can frustrate users.
Validate with people who use this workflow before building.
Hypothesis 4
Assumption to check: Basic sync options can lead to data loss if the app is uninstalled.
Validate with people who use this workflow before building.
Original App Store material. Ratings and screenshots describe the existing app, not proof of demand for your version.
LM Manager Pro is a native iOS and iPadOS app for developers and AI enthusiasts who run their own language model infrastructure. Connect to LM Studio inference servers on your local network or Tailscale VPN, integrate leading cloud providers, and manage everything from one place. **INFERENCE NODE MANAGEMENT** Add Mac Minis, workstations, or Tailscale peers as inference nodes. See which models are loaded across all machines at a glance. Load and unload GGUF and MLX models with a single tap, and watch VRAM usage in real time. Background polling keeps status current while the app is open, and the status bar shows network health without interrupting your workflow. **AI PERSONAS — YOUR ENGINEERING TEAM** Give each model a human-style identity with a name, role, personality overlay, and custom system prompt. Rank personas from Untested to Expert as they accumulate runs. Assign GPT-4o to your Architect, Claude Opus to your Code Reviewer, Gemini Flash to your Sprint Planner — then put them to work together. **TEAM CHAT & GROUP RUNS** Assemble personas into Teams and start a group chat with auto round-robin turn management or manual persona selection. Every team member responds in sequence, giving you parallel perspectives on a single prompt without switching windows. Enable Cross-Talk so team members can reference each other's responses, or disable it for independent answers. **STRUCTURED EPISODES** Write reusable, multi-step benchmark scripts with prompt sections, pause points, and notes. Run an episode against a team and watch each section execute in sequence. Every completed run is archived with full response history so you can compare results across models and sessions. **CROSS-PROVIDER STREAMING** Stream responses from LM Studio, OpenAI, Anthropic, Google, and Qwen from one interface. Reasoning models can show their thinking content alongside the final response, and vision-capable models accept images from your photo library. **COMPARE MODE** Run the same prompt across two to four models in parallel and watch them stream side by side. Live metrics — tokens per second, time-to-first-token, total completion time — update as each model responds. Every comparison is saved automatically so you can revisit past results anytime. **TIMELINE** Browse a chronological feed of every AI response across all sessions. Search by content or sender, sort by newest, oldest, fastest TPS, or most tokens, and filter by session type or model. Cloud and local responses are color-coded so you can scan at a glance. **AI-SCORED LEADERBOARD** Automatically score each persona across five dimensions — Accuracy, Helpfulness, Instruction Following, Clarity, and Depth — using an AI advisor model of your choice. Track performance over time and compare ranked standings on the Leaderboard. **VOICE INPUT & OUTPUT** Dictate messages with on-device speech recognition and hear responses read back with configurable voices. **MEMORY & CONTEXT** Enable per-persona memory, override memory per session, and use DuckDuckGo-powered web search when a persona needs current context. **YOUR DATA, YOUR DEVICE** All data is stored locally in SwiftData — no accounts, no telemetry, no cloud sync required. Export your full dataset as JSON for backup or device migration. Import it back with one tap. **BUILT FOR POWER USERS** - Side-by-side model evaluation with saved history - Token usage and latency metrics for every response - Timeline search, sort, and filters - Markdown and code block rendering - Reusable prompt templates - Full chat export as plain text or Markdown - Projects for organizing sessions, teams, and personas
Written user reviews are not shown here. Check current App Store reviews >
Plan a focused first version with your coding agent. These are planning assumptions, not a delivery guarantee.
Choose one audience and one core workflow. Use the kit to agree on its screens, data, and acceptance criteria before building.
Decide which secondary features, integrations, and platform support can wait. Your version does not need to reproduce everything in the original.
Validate external services, specialist technology, data access, and ongoing costs for your chosen scope.
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.