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QueryForge

Read a SQL query, predict the exact result set — which rows, in which order — then run it to check. QueryForge shows you a table and a query, and asks you to think through WHERE, ORDER BY, DISTINCT and LIMIT before you press run (the habit that catches a bug before it ships). Every wrong option is a real misreading the engine actually produces. No timer, no score to chase; on-device, no account. Ages 15–18.

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In planning Swift 6 · SwiftUI · FoundationModels Computer science / databases — read a SELECT query and predict its result set; reason about WHERE (filtering), ORDER BY (sorting/direction), DISTINCT (de-duplication) and LIMIT, and how their evaluation order shapes the output Computational thinking — trace a declarative query clause by clause; distinguish a plausible misreading (dropped clause, wrong direction, off-by comparison) from the true result Hero color: #3b5ba9
Engagement: Modes pending

Distributed-narrative cast

Meet the cast

QueryForge is SELECT … FROM … WHERE … ORDER BY … LIMIT pulled apart into the moves each clause makes — the crew IS the query. Filo filters, Sorel sorts, Sole de-duplicates, Capp caps; mentor Delia keeps the one habit that separates a developer from a guesser: read the query and PREDICT the result before you run it. 15–18, text-forward (R-OLDER-TEEN-DN-ADAPTED) — illustrated portraits/chapters/audio are N/A for the older-teen band, not a follow-on.

F

Filo

WHERE — keeps only the rows that pass the test and drops the rest (a filter is a test applied to every row)

S

Sorel

ORDER BY — arranges the rows in order; DESC flips it high→low (the sort never changes which rows, only their order)

S

Sole

DISTINCT — keeps one of each kind and folds the repeats away (de-duplication runs after projection)

C

Capp

LIMIT — takes just the first N, after WHERE/ORDER BY/DISTINCT have all done their work

D

Delia

(Mentor) — read the query and predict the result set BEFORE you run it; that habit catches a bug before it ships.

What's distributed-narrative methodology? →

What's inside

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Learning goal

Read a SQL query, predict the exact result set — which rows, in which order — then run it to check. QueryForge shows you a table and a query, and asks you to think through WHERE, ORDER BY, DISTINCT and LIMIT before you press run (the habit that catches a bug before it ships). Every wrong option is a real misreading the engine actually produces. No timer, no score to chase; on-device, no account. 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 Delia — on-device AI, no data leaves the device.

How QueryForge 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

QueryForge 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

QueryForge 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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