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.
Most tools just show you a number
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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.
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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.
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Good fit for mobile-first iOS and Android prototypes with managed app scaffolding.
Rork plan preview for AI Session Meter: map the core Developer Tools workflow, choose the smallest differentiated feature set, define the data and monetization boundaries, then prototype the riskiest user journey first.
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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: Expensive subscription
Validate with people who use this workflow before building.
Hypothesis 2
Assumption to check: Missing features
Validate with people who use this workflow before building.
Hypothesis 3
Assumption to check: Poor performance
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.
Most tools just show you a number. AI Session Meter also reads your pace and predicts whether — at your current rate — you'll use up your session or weekly limit before it resets. Slow down, switch models, or wrap up the task: you can make that call before you're locked out mid-work. Now on iPhone, iPad, and Apple Watch — one purchase, every device • Weekly limit cards for every account: % used, % remaining, and time until reset at a glance • A Daily view showing each account's current session usage • Hourly Daily/Weekly graphs with reset markers — see exactly when a limit reset • Home Screen widgets (Weekly / Daily) and an Apple Watch complication • Your usage history syncs automatically from your Mac through your own iCloud — no account or sign-up required • Requires AI Session Meter on your Mac: the Mac app reads and records your usage — iPhone, iPad, and Apple Watch display the data it syncs The headline feature — pace warnings • Projects how much you'll use by the next reset, based on your current pace • Alerts you in the menu bar the moment you're trending toward running out • Warnings can also pop up on your iPhone and Apple Watch, delivered through your own iCloud • Keeps you from being suddenly locked out in the middle of your work Stats — understand how you actually work • A GitHub-style activity heatmap of your coding history • Tokens per day by model, with 24-hour, 7-day, and 30-day views down to hourly detail • Hover any chart or heatmap cell on the Mac for instant date, time, and token counts • Built from your local Claude Code session logs; view them on your Mac or synced to iPhone and iPad How AI Session Meter gets its data — and what it never does • AI Session Meter never calls any AI model. It does not use Claude, Codex, or any other inference API, and it never consumes your usage quota. • Claude Code usage (Mac): read with the access token you enter, directly from Anthropic's official usage API. Your token is stored only on your Mac, and Anthropic is the only place it is ever sent. • Codex usage (Mac): OpenAI offers no public usage API, so AI Session Meter reads the rate-limit snapshots the Codex CLI itself writes to your local ~/.codex folder. The numbers update only when Codex actually runs, and nothing is ever sent off your Mac. • iPhone, iPad, and Apple Watch never connect to any AI service. They display the history your Mac recorded, delivered through your iCloud. Also shows • 5-hour session usage and reset time • Weekly all-models usage and reset time • Multiple accounts at once, under the names you give them • Sortable account cards — by usage, by name, or your own drag-to-arrange order Designed for each platform • macOS: lives in the menu bar; auto-refreshing, universal for Apple Silicon and Intel, barely any memory or CPU • iOS / iPadOS: a dashboard and widgets, pleen awake while charging • watchOS: glanceable usage on your wrist, a watch-face complication, and mirrored alerts Built with privacy in mind • Fully sandboxed; no analytics, tracking, • Your access token is stored only locally on your Mac; usage requests go only to Anthropic's official servers • Codex data and Claude Code logs are read you grant access to • Device sync and alerts use only your own iCloud account — there is no developer server Getting started Install AI Session Meter on your Mac and ses token — your iPhone, iPad, and Apple Watchthen receive the data automatically through iCloud. Until data arrives, every screen shows clearly labeled sample data, so you can explore the app right afte AI Session Meter is an independent utility r endorsed by Anthropic or OpenAI. ClaudeCode is a product of Anthropic; Codex is a product of OpenAI.
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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.