Homemade Meals

A macro tracker for homemade meals should not make you build a recipe every time.

Homemade food is where normal macro trackers get slow. A database app wants you to search every ingredient, pick serving sizes, and save a recipe. That can work for meal prep, but it is too much friction for a normal dinner.

Try Forge AI beta

Try typing: "homemade cashew chicken with broccoli and white rice, about one bowl, light sauce."

What details matter most

Protein and portion

Chicken breast, thighs, beef, tofu, salmon, eggs, and how much you ate drive protein and calories.

Carb base

Rice, noodles, potatoes, tortillas, pasta, bread, grains, and serving size usually explain most carbs.

Fat sources

Oil, butter, cheese, nuts, dressing, sauces, avocado, and cream change calories quickly.

Why Forge AI is a better fit for home cooking

Forge AI lets the user describe the food the way they remember it. That matters because home cooking is rarely standardized. Two people can make "chicken stir fry" with very different oil, sauce, rice, and portion sizes. A database entry can look precise while being wrong for the actual plate.

The right workflow is: log the meal quickly, show a believable estimate, let the user adjust portions afterward, and keep the habit alive. Perfect recipe math is useful sometimes. Fast, honest estimation is useful every day.

When a recipe builder is still better

If you cook the same meal prep recipe every week and know exact ingredient weights, a recipe builder can be more precise. Forge AI is strongest when you need to log real food quickly: leftovers, family dinners, one-off meals, and partial servings.

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