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HuggyHabits

Daily Wellness Routines for Ages 5-7 — sleep, brush, eat, move habits via gentle scaffolds. Hug (cuddly bear-hug mascot) anchors morning + bedtime routines.

HuggyHabits app icon

Meet your mentor

Every Spark & Anvil app has a friendly mentor character that demonstrates, praises, and patiently scaffolds learning. On-device AI personalizes the mentor's responses to your kid's progress — never connecting to a server, never collecting data.

Mentored by Hug

HuggyHabits mascot
In planning Swift 6 · SwiftUI · FoundationModels CASEL Self-Management SHAPE America Pre-K Health NAEYC ECE Standards Hero color: #F4C9A8

Distributed-narrative cast

Meet the cast

HuggyHabits's 3-character supporting cast (Younger Cluster Variant; ages 5-7) embodies daily-wellness routine primitives as concrete-physical routine-friends — bedtime winding-down (Snooze), brushing + hygiene (Scrub), body-movement breaks (Bounce). Following the MotifLab hero-as-protagonist pattern adapted for ages 5-7, Hug (cuddly bear-hug mascot + AI wellness coach) remains the protagonist + warm-wrap-around-every-routine; cast members are routine-time friends. Daily-use app — cast does NOT fully fade (kit 7-8 transitions them from teacher to companion since daily routine practice IS the use case). Catchphrases ≤6 words pairing action with feel-good payoff (`Slow down. Tuck in.` / `Brush brush. All clean.` / `Bounce a little. Feel good.`). CRITICAL gates: no shame on skipped routines (cast frames missed-day as invitation never correction); streak-broken UI shows `Welcome back!` never `streak ended`; body-image gate — no character ever comments on body shape / weight / food quantity; movement promoted as feel-good never appearance-tied. Parent co-play affordance + local-only `show your grown-up` celebration. Bounce replaces initially-proposed Wiggle per intra-Wave-29 collision with BugsCamp earthworm-cast Wiggle.

Browse all 3 chapters → · What's distributed-narrative methodology? →

What's inside

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Learning goal

Daily Wellness Routines for Ages 5-7 — sleep, brush, eat, move habits via gentle scaffolds. Hug (cuddly bear-hug mascot) anchors morning + bedtime routines.

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Question kits

16 curriculum-aligned kits × 25 questions = 400 questions per app, mapped to recognized standards.

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On-device AI mentor

FoundationModels-powered hints, feedback, and adaptive difficulty — all running locally.

Mentored by Hug — on-device AI, no data leaves the device.

How HuggyHabits handles your kid's data

  • ✅ All progress, settings, and AI-generated content stays on the device
  • ✅ No analytics, no tracking, no third-party SDKs
  • ✅ No ads, no in-app purchases — you pay once
  • ✅ COPPA compliant under the 2026 FTC amendments
  • ✅ Parental controls + session limits + content filters built in

Full parent privacy guide →

Built with ForgeKit

HuggyHabits runs on ForgeKit — the open-source Swift Package Manager framework that powers every Spark & Anvil app. ForgeKit ensures consistent accessibility, COPPA compliance, and design language across the portfolio, so your kid's progress and preferences feel coherent across every app they touch.

Coming to the App Store

HuggyHabits is in active development. Email us to hear when it ships — no marketing, no spam, just a one-shot launch announcement.

Email me at launch