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TongueDojo

You speak some of your family's language — your little brother or sister barely does. TongueDojo turns you into their tutor: add up to ten family words, and it plans four ten-minute sessions spread over a week (spacing is what makes words stick), each built around one real tutoring move — wait, give the smallest hint, praise the effort, notice the slip. Print the plan and a little picture book for them. Nothing recorded, nothing translated by a machine, on-device. Ages 15-18.

Icon coming soon
Live In planning Swift 6 · SwiftUI · FoundationModels Heritage-language / peer tutoring - plan and run spaced practice sessions for a younger learner SEL / relationship skills - give effective, kind, specific feedback Hero color: #22606b
Engagement: Modes pending

Distributed-narrative cast

Meet the cast

TongueDojo's crew are the four tutoring moves a teen uses to teach a younger sibling the family language (15-18, text-forward). Threebeat gives the quiet that lets a younger child find the word. Firstsound offers the smallest help that could unstick them. Kindword names the effort, not the talent. Spotslip catches the exact slip - and keeps it kind.

T

Threebeat

Gives the quiet that lets a younger child find the word.

F

Firstsound

Offers the smallest help that could unstick them.

K

Kindword

Names the effort, not the talent.

S

Spotslip

Catches the exact slip — and keeps it kind.

What's distributed-narrative methodology? →

What's inside

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Learning goal

You speak some of your family's language — your little brother or sister barely does. TongueDojo turns you into their tutor: add up to ten family words, and it plans four ten-minute sessions spread over a week (spacing is what makes words stick), each built around one real tutoring move — wait, give the smallest hint, praise the effort, notice the slip. Print the plan and a little picture book for them. Nothing recorded, nothing translated by a machine, on-device. Ages 15-18.

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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 Threebeat — on-device AI, no data leaves the device.

How TongueDojo 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
  • ✅ No personal information collected from children — in line with COPPA (updated by the 2026 FTC amendments)
  • ✅ Parental controls + session limits + content filters built in

Full parent privacy guide →

Built with ForgeKit

TongueDojo 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

TongueDojo 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

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