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Why we plan from a curated meal database — not AI-invented recipes

Most "AI meal planners" hallucinate recipes with macros that do not add up. Misi does the opposite: it selects from a lab-checked database of real meals and portion-scales them to your exact targets.

There is a quiet problem with AI-generated meal plans: the model invents a recipe, then guesses the macros. When you actually weigh the ingredients, the numbers rarely match. For someone hitting a protein target or a cut, "close enough" is not good enough.

A curated database, not a guess

Every meal Misi plans comes from a curated library of roughly 358 real meals, each with macros verified against a 2,300+ ingredient nutrition database. Nothing is invented at generation time, so the protein, carbs and fat you see are the protein, carbs and fat you eat.

The 6-pass portioning algorithm

Selecting the right meals is only half the job. Misi then portion-scales each meal across six passes — adjusting serving sizes meal by meal until your daily totals land within ±5% of your targets for every macro, not just calories.

The plan is only useful if the macros are real. That is why we check them before you ever see the meal — not after.

The result is a seven-day plan that actually hits your numbers, built from food you would recognise on a plate.

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