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.
This new update to iBird Photo Sleuth now includes access to our ornithology experts who will help identify your bird if you want more help
$4.99 · 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.
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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 iBird Photo Sleuth: map the core Reference 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: Users find the search functionality slow or inaccurate
Validate with people who use this workflow before building.
Hypothesis 2
Assumption to check: Limited bird identification information compared to competitors
Validate with people who use this workflow before building.
Hypothesis 3
Assumption to check: Subscription model is not clear
Validate with people who use this workflow before building.
Hypothesis 4
Assumption to check: Occasional app crashes during photo uploads
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.
This new update to iBird Photo Sleuth now includes access to our ornithology experts who will help identify your bird if you want more help. The “Help Me Identify a Bird” forum has been around for 10 years and has over 100,000 members. Every now and then an app breaks out from the pack with features that are simply astonishing. iBird Photo Sleuth fits that mold; use its machine learning "brain" to identify a photograph of any bird of North America, regardless of the photo’s quality. Photo Sleuth uses Apple’s new CoreML machine learning system to figure out the species in even the most distorted, fuzzy and poor contrast photograph. The Photo Sleuth app has been “trained” by over 2 million photos of bird species to ID birds with uncanny accuracy. You can use iBird Photo Sleuth in the field -- no internet connection is required, because its CoreML database is contained in the app. Take a photo with your camera or select it from the built-in iPhone Photos gallery (Dropbox, Google Photos and OneDrive coming). Don’t worry if the bird is a tiny blob in the frame; Photo Sleuth is smart enough to find the features that distinguish it from all other 900+ bird species of North America. After you submit your photo to the Sleuth, it will give you a list of its top 3 guesses as thumbnail sized images. Each will display a “Confidence” value between 0% and 100%. When the Sleuth is really sure of its analysis, it will produce a high value; when unsure it will display a low value. If the app thinks that you have submitted a photo of something other than a bird, it will display “Not a Bird.” Of course, some people’s faces look like birds, so it may still suggest a bird species. For example, my selfie came up with “Not a Bird” for the #1 spot and the Barn Owl for #2. To help confirm the 3 guesses made by Photo Sleuth, you can tap on any of the thumbnail images to open more species details, including an enlarged illustration, text that explains important field marks and a range map that shows the migration coverage of the bird. The range map includes a range and habitat paragraph that helps confirm that the species is indeed located in your GPS area. A future update will add our “Birds Around Me” technology to further narrow the choices that Photo Sleuth guesses. On this same screen you may open a rich content species account in our iBird app (should you have it on your phone) to review much more information, including playing the bird’s songs and calls, seeing similar birds, behavior details and much more. Sharing of your results can be done two ways: you can share your photo and the Photo Sleuth guesses with your friends via Apple Messages, Email, Facebook, Twitter and all other functions such as printing, which appear on the standard Apple activity menu. There is also a button for optionally sharing your photo and the results of the Photo Sleuth guess with Mitch Waite Group, so that we can improve our neural network. Both correct and incorrect guesses help us improve the performance of artificial intelligence. Or course, we only use the photograph for training, and the copyright remains with you.
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.