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TokenTales

Ever wonder how AI "writes"? Train a tiny model on a nursery rhyme, then predict what it will say next — and discover the secret: a language model just counts which word tends to follow which, then guesses the most common one. TokenTales builds a real (tiny) next-word model right in your browser — no chatbot, no internet, nothing leaves your device — so you can see exactly how the trick works, and even watch the model write. Ages 9–14.

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Built for sittings of about 20 minutes on the screen. That is our design budget, not a measurement.

TokenTales mascot

Meet your mentor

Every Spark & Anvil app has a friendly mentor character that demonstrates, asks, and patiently scaffolds learning.

Mentored by Nova

TokenTales mascot
Live Computer science / AI literacy — explain how a language model predicts the next token by counting which words tend to follow which (an n-gram model), and that it has no understanding of meaning; distinguish this core idea from a full modern LLM (scale, not a different trick) Data & probability — read a frequency distribution as a bar chart, identify the most-likely outcome (argmax), and reason about how look-back window size changes a model's output Hero color: #6d5bd0
Engagement: Modes pending

Characters who teach

Meet the cast

TokenTales' crew ARE the pieces of a language model — the cast IS the idea: Token is one word (a model reads and predicts one at a time), Tally is the counter (how often each word followed another — the model's whole memory), Gram is the look-back (a bigram uses the last 1 word, a trigram the last 2). Mentor Nova keeps the honest point: the model has no idea what words MEAN — it predicts the word that most often came next; knowing that is knowing how AI really works. Nothing leaves the device.

Token portrait

Token

A single word (or piece of a word) — a language model reads and predicts one token at a time

Tally portrait

Tally

The counter — how many times each word followed another; the counts ARE the model's memory, nothing more

Gram portrait

Gram

The look-back — a bigram uses the last 1 word, a trigram the last 2; more look-back = smoother writing

Nova portrait

Nova

the model has no idea what words MEAN; it predicts the most common next word. Knowing that is knowing how AI really works.

What's distributed-narrative methodology? →

What's inside

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Learning goal

Ever wonder how AI "writes"? Train a tiny model on a nursery rhyme, then predict what it will say next — and discover the secret: a language model just counts which word tends to follow which, then guesses the most common one. TokenTales builds a real (tiny) next-word model right in your browser — no chatbot, no internet, nothing leaves your device — so you can see exactly how the trick works, and even watch the model write. Ages 9–14.

Mentored by Nova — no data leaves the device.

How TokenTales 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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