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OverrideForge

A confident AI assistant is right most of the time — and sometimes fluently, plausibly wrong. Solve a reasoning task, lock in YOUR answer first, then Glib gives its very-sure suggestion. Accept it, Verify it, or Override it — and see your reliance profile: where you leaned well, where you surrendered your own correct answer to a wrong one, where you distrusted a tool that was right. Calibrated reliance — knowing when to trust and when to check — is the skill nobody teaches yet. No timer, no score to chase; on-device, no account. Ages 15–18.

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Built for sittings of about 25 minutes on the screen. That is our design budget, not a measurement.

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Live Critical thinking / AI literacy — practice calibrated reliance on a fluent tool: recognize automation bias (over-trust) and reflexive distrust (under-trust), and decide when to accept, verify, or override a confident suggestion Metacognition / media literacy — judge how reliable an AI actually is by task-type (checkable arithmetic vs fabricated citations, stable facts vs contested nuance), and flag cognitive-surrender events (abandoning a correct answer to a confidently-wrong tool) Hero color: #2f6f8f
Engagement: Modes pending

Characters who teach

Meet the cast

OverrideForge's cast is the two ways you can react to a confident machine, made into characters (not brain parts): Whim is the fast reaction that either takes the fluent answer at face value or reflexively rejects it; Muse is the slow, careful move that does the one check the tool skipped, then decides. Glib is the assistant itself — it answers everything smoothly and confidently whether or not it is right (a deterministic, on-device tool, never a real chatbot). Mentor Solon holds the line: calibrated reliance is neither blind trust nor blind rejection — know which tasks a tool is solid at, and check the ones it is not. Every trial carries a science-meter: how reliable is AI on this kind of task, really — solid, or still argued?

W

Whim

The fast, miscalibrated reliance reaction (System 1) — takes Glib's confident answer at face value, or reflexively rejects a reliable tool, without ever doing the check

M

Muse

The slow, calibrated move (System 2) — does the one check Glib counts on you to skip, works out whether this is a task the tool is reliable at, and only then decides

G

Glib

The fluent on-device assistant — answers everything smoothly and confidently whether or not it is right; a deterministic pre-authored tool, never a real cloud AI

S

Solon

calibrated reliance is neither blind trust nor blind rejection; know which tasks a tool is solid at, check the ones it is not, and never surrender an answer you already had

What's distributed-narrative methodology? →

What's inside

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Learning goal

A confident AI assistant is right most of the time — and sometimes fluently, plausibly wrong. Solve a reasoning task, lock in YOUR answer first, then Glib gives its very-sure suggestion. Accept it, Verify it, or Override it — and see your reliance profile: where you leaned well, where you surrendered your own correct answer to a wrong one, where you distrusted a tool that was right. Calibrated reliance — knowing when to trust and when to check — is the skill nobody teaches yet. No timer, no score to chase; on-device, no account. Ages 15–18.

Mentored by Solon — no data leaves the device.

How OverrideForge handles your kid's data

  • ✅ All progress, settings, and AI-generated content stays on the device
  • ✅ No analytics, no tracking, no third-party SDKs
  • ✅ Free — no ads, no in-app purchases
  • ✅ No personal information collected from children — in line with COPPA (updated by the 2026 FTC amendments)
  • ✅ No chat with strangers — play-together rooms use a short code and preset emotes, never typed messages

Full parent privacy guide →

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