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.
AI in EI is a clinical reference app built by an occupational therapist for Early Intervention clinicians working with children birth to three.
$9.99 · 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 AIinEI: 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: Limited depth of content and tools available
Validate with people who use this workflow before building.
Hypothesis 2
Assumption to check: User engagement may be low due to lack of interactivity
Validate with people who use this workflow before building.
Hypothesis 3
Assumption to check: Navigation may be cluttered with too many options
Validate with people who use this workflow before building.
Hypothesis 4
Assumption to check: Potential high churn rate due to subscription model
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.
AI in EI is a clinical reference app built by an occupational therapist for Early Intervention clinicians working with children birth to three. Whether you're an OT, PT, SLP, or developmental specialist, this app puts peer-reviewed developmental milestones, red flags, clinical decision trees, and parent coaching scripts at your fingertips — organized the way you actually work. TWO MODES FOR HOW YOU WORK: Session Mode — Use during home visits. Select a domain and age range to get: - Quick Scan checklists for rapid developmental screening - Clinical decision trees with if/then guidance - Session flow suggestions with time estimates - Parent scripts you can use word-for-word - Graded activities with materials, steps, and what to look for Reference Mode — Use between sessions for study and planning. Browse all five developmental domains with detailed milestone progressions, red flags, and cross-domain connections. FIVE DEVELOPMENTAL DOMAINS: - Motor (gross motor, fine motor, reflexes, postural control) - Communication (receptive, expressive, pragmatic, speech sounds) - Adaptive (feeding, self-care, daily routines) - Personal-Social (attachment, social engagement, emotional regulation) - Cognitive (object permanence, problem-solving, symbolic play) CLINICAL FEATURES: - Condition-specific guidance for Down syndrome, autism, cerebral palsy, prematurity, and more - Bilingual development notes throughout - Cross-domain connections showing how development interacts across areas - Evidence-based parent education for every age range - Clinical references with full citations BUILT FOR EI PRACTICE: Every recommendation reflects how Early Intervention actually works — in living rooms, during routines, with families. Clinical benchmarks are calibrated for early identification, consistent with the purpose of IDEA Part C. Massachusetts Edition — includes MA-specific regulatory references, assessment tools (BDI-3), and service delivery guidance. All clinical content is informed by peer-reviewed research including Zubler et al. (2022), CDC developmental milestones, Case-Smith & O'Brien, Rossetti, Bowlby, Piaget, and more. Full reference list available in-app. Important: AI in EI is a clinical reference tool for licensed healthcare professionals. It does not replace clinical judgment, professional training, standardized assessment, or supervision. All clinical decisions remain the sole responsibility of the practitioner.
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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.