WRITE
The child owns every word.
The editor stays exactly where they left it. Maliang never completes the sentence.
OpenAI Build Week 2026 · Education
Maliang is a six-panel comic studio that turns revision into visible consequence—while the child stays the sole author of every story word.
THE 3-MINUTE ROUTE

00:30 / THE IDEA
A child writes. Maliang turns supported story facts into an evidence-bound render contract. New words change what the picture is allowed to support—and a resolved writing challenge can earn a craft card.
WRITE
The editor stays exactly where they left it. Maliang never completes the sentence.
SEE
Each semantic fact passed to the renderer points back to an exact span in the story.
REVISE
The next render reflects a new contract, turning revision from homework into the mechanic.

Child-facing questions are fixed, reviewed application copy—not model prose.
00:55 / THE LOOP
Maliang never inserts text, suggests replacement wording, scores the page, or blocks finishing. Help starts with consent and returns control after one question.
Is this how you pictured it?
Action, appearance, setting—or skip.
Fixed, reviewed copy. Never generated prose.
The story remains untouched until they type.
The child decides whether the new picture is closer.
01:25 / THE PAYOFF
Selected real renders from the submitted app show the move from provisional sketch to a finished story.

Mara waits.
A sparse sentence yields a contract with very little supported detail.

Mara waits in the dark cave, holding her little lantern.
The cave and lantern are now backed by the child’s words.

The visual reward belongs to the writer—not the coach.
01:45 / BUILT WITH OPENAI
Generative power sits behind deterministic contracts, schema validation, and revision-aware controls.
The current panel text is the source of truth.
Safety, scene extraction, and diagnostic codes with schema-constrained output.
Exact source spans, validation, stale-job rejection, and local dialogue composition.
The validated render contract becomes a 960×720 comic panel.
WHY CODEX MATTERS
Sandboxed Codex subprocesses run structured GPT-5.6 work. The submission also retains a GPT-5.6 Sol/Codex raster path for benchmark comparison; direct GPT-Image-2 is the demo default.
LOCAL-FIRST, HONESTLY
Project data and illustration artifacts are encrypted locally. Live generation still sends de-identified current-panel inputs and contracts to cloud models.
02:20 / PROOF, NOT PITCH

ZERO-COST JUDGE PATH
npm install → npm test → npm run devOpen setup guide MALIANG
See one complete revision arc—and the engineering behind it—in under three minutes.