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ActionQuest

Take on a real issue in your community (ages 15–18): frame it at its root, research it with lateral reading, map who is affected and who decides, design a feasible action plan, disclose any AI use honestly, then DEFEND it to a fair panel — the part a tool cannot fake for you. Non-partisan, AI-resilient action research, computed and stored on-device; text-forward.

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In planning Swift 6 · SwiftUI · FoundationModels C3 Framework (Inquiry Arc) CCSS-ELA (W.11-12.7–9; RI.11-12.8; SL.11-12) Hero color: #4338CA
Engagement: Modes pending

Distributed-narrative cast

Meet the cast

ActionQuest's adapted-DN-S cast (ages 15–18, realistic action-research personas — no mascots, per R-OLDER-TEEN-DN-ADAPTED) each embody one action-research primitive; chair Dr. Okonkwo probes any plan with “who did you check that with, and what would change your mind?” — scoring the process, never your politics.

F

Farah

the issue-framer — frame a public issue at its root (a fixable mechanism), never as a villain

D

Devrim

the lateral-reader — leave the page to check who runs and funds a source before trusting it

M

Marco

the stakeholder-mapper — map who is affected AND who can decide, before proposing anything

L

Leila

the feasibility-checker — turn a wish into a plan: by when, with what, and what is step one

D

Dr. Okonkwo

(Mentor) the fair panel-examiner — probe the reasoning, never the person; score the process, not the politics

D

Dario

the reporter — report the honest result, including what did not work, so others can build on it

What's distributed-narrative methodology? →

What's inside

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Learning goal

Take on a real issue in your community (ages 15–18): frame it at its root, research it with lateral reading, map who is affected and who decides, design a feasible action plan, disclose any AI use honestly, then DEFEND it to a fair panel — the part a tool cannot fake for you. Non-partisan, AI-resilient action research, computed and stored on-device; text-forward.

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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 Dr. Okonkwo — on-device AI, no data leaves the device.

How ActionQuest 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

ActionQuest 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

ActionQuest 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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