Author finds 'just right' prompt range speeds GPT-6 Luna High
A user tested GPT-6 Luna High’s PowerPoint creation speed and quality, starting with a 12-minute, 38-second run that missed template adherence and saved files correctly. After three prompt adjustments, the model returned to nearly the same speed (12 minutes, 30 seconds) but improved template use, reduced rework, and cut resource usage to 1% of the 5-hour quota—down from 2% in the original test.
Key points
- GPT-6 Luna High initially took 12:38 to create a PowerPoint but missed template adherence and file-saving steps
- Overly strict prompts slowed it to 23:11 by forcing exact template replication, increasing rework
- Balanced prompts (brand rules + layout flexibility) restored speed to 12:30 with 1% quota usage
The key insight was balancing strict instructions with flexibility. Overly rigid prompts slowed Luna High to 23 minutes by forcing exact template replication, while a middle-ground approach—preserving brand elements (fonts, logos, colors) but allowing new layouts—restored speed without sacrificing quality. The author also noted that higher-end models like GPT-6 Sol may excel at exploratory tasks, while lighter models like Luna High perform better once workflows are optimized.
Model page: GPT-6 Sol →
I wanted to speed up GPT-6 Luna, but it took 23 minutes instead. The 'just right' range for AI instructions discovered through three adjustments
note.com · 28 September 2026
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