I built a small static experiment: give several frontier models the same hard question about food, force a fixed output shape, and put the results side by side.
Live lab: https://nutrition.livo.community
What it is
Model Lab is a personal reasoning experiment, not a product and not medical advice.
Every model gets one core prompt. Sole objective: metabolic optimal for a healthy young adult (peak hypothesis, not "people do fine" or guideline aesthetics). Method is locked to first principles + logic only — studies and guidelines are out of bounds as authority so the comparison stays fair.
Mandatory answer shape:
-
## Plate description(bullets first) -
## Substantiate plate choice(short) -
CALORIE_SHARESfooter (animal/plant% of calories + constituents)
How to read the site
- Carousel: each card is one model outcome (or the joint debate fable on the first card). The fable is not labeled as the correct answer — it is a Grok × Claude write-up under the same prompt contract.
- Chart: Artificial Analysis Intelligence score vs animal/plant % of calories. Animal share is drawn in red so you can scan the spectrum quickly.
- Discuss: optional browser-side OpenRouter key if you want to run more models yourself (key stays in localStorage only).
Why this is interesting for builders
Same system + user prompt, same format constraints, many vendors. You get a clean view of how models diverge when you strip citation theater and force a concrete plate + calorie split.
Static captures live in responses.json; the site is plain HTML/CSS/JS (no framework).
Again: hypothesis comparison only. Not a diet prescription.
If you try it, curious which models land nearest each other on the animal/plant axis — and whether that correlates with intelligence scores at all.
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