Game

Dragonflight

Dragon Flight — fly a dragon through neon rings at speed, full HUD, fire-breath, fury meter.

CategoryGame
Models tested5
Scored3/5
Avg score7.83/10
WinnerGrok

What I asked each model — the Dragonflight prompt

Every model on this page got this exact prompt inside the Agent Operating System: Dragon Flight — fly a dragon through neon rings at speed, full HUD, fire-breath, fury meter.

Single HTML file out. No iteration. No examples in the system prompt. Whatever each model produced on the first run is what's on this page. 5 frontier models have attempted it so far: Fusion, Grok, MiniMax M3, GLM-5.2, Kimi K2.7.

Why this task matters. Dragonflight is a textbook test of game-class capability — the kind of build that exposes whether a model is doing pattern-matching or actual reasoning. A model that ships this in one shot is usually safe to wire into your agent loop for harder tasks of the same shape.

How each model handled Dragonflight

Ranked by my 0–10 score from the source comparison guides on agentos.guide. Click any to play the actual one-shot HTML the model produced.

Fusion OpenRouter
🥉 6.5/10

What I saw: Truncated — has rAF + 5 input handlers but unclosed <script> and no </html>. Partially runnable. Original 9.0 was a read-without-running miss.

▶ Play Fusion's attempt →
Grok xAI
🥇 8.5/10

What I saw: Fly a dragon through neon rings with score + fire-breath + fury HUD. 28KB.

▶ Play Grok's attempt →
MiniMax M3 MiniMax
🥇 8.5/10

What I saw: Fly a dragon through neon rings — full HUD, score, fire-breath gauge.

▶ Play MiniMax M3's attempt →
GLM-5.2 Zhipu / Z.ai
• unranked

Demo on the bench. Not scored yet — play it and form your own opinion.

▶ Play GLM-5.2's attempt →
Kimi K2.7 Moonshot AI
• unranked

Demo on the bench. Not scored yet — play it and form your own opinion.

▶ Play Kimi K2.7's attempt →

The winner on Dragonflight

Grok took gold on this task.

What I saw: Fly a dragon through neon rings with score + fire-breath + fury HUD. 28KB.

See Grok's full model card: /models/grok.

How I scored Dragonflight — methodology

Three axes, 0–10 each, averaged. Runs: drop the .html in a browser; if it opens to a broken page, it scores zero. Hits the brief: did the model ship the thing the prompt asked for, or a different thing it found easier. Looks good: visual polish, motion, interactivity — where most of the gap between gold and silver lives.

My scores trace back to the source comparison guides on agentos.guide. See the full methodology page for data provenance, including which source guide each cell's score came from.

The same stack Julian uses

Run this stack yourself.

Every demo on this bench was built inside the Agent Operating System — one prompt, one shot, single HTML file out. The Agent OS, the prompts, the templates, the weekly walkthroughs and 3,600+ founders shipping with it every day all live inside the AI Profit Boardroom.

3,600+founders
258documented wins
38countries
$100k+/mocommunity MRR