Muse MuseConcept

Independent concept built on Meta's Model API. Not an official Meta product.

Scale My Recipe

Status: Live.

  1. Your muse

    A recipe scaler: I paste a recipe, pick how many servings I want, and get the ingredient amounts rescaled, with a switch between cups and grams.

  2. Done

    Checks passed

  3. The plan: Scale My Recipe

    Paste a recipe and get exact amounts for any servings in cups or grams.

    1. Paste recipe text and enter its original servings
    2. Enter target servings number
    3. Choose cups or grams display
    4. View rescaled ingredient list and copy it
    See the full plan

    Who it's for

    Home cooks who need to scale recipes up or down.

    How it works

    1. Paste recipe text and enter its original servings
    2. Enter target servings number
    3. Choose cups or grams display
    4. View rescaled ingredient list and copy it

    Screens

    • Recipe Input. Paste recipe and set original and target servings with unit choice.
    • Scaled Results. Show rescaled ingredients with cups grams toggle and copy button.

    What goes in

    • Text: Pasted recipe text with ingredients, steps and original servings, under 8000 characters.
    • Text: Target servings number and unit choice of cups or grams.

    What comes out

    • Text: Rescaled ingredient list with amounts for target servings in cups or grams plus method notes.

    Models

    ModelUsed forWhy
    Muse Spark 1.3Parse and scale recipe ingredientsReads pasted recipe, finds ingredient amounts, applies servings ratio and converts between cups and grams.

    Limits

    • Vague amounts like pinch or to taste are kept as written and not converted.
    • Cup to gram conversion uses standard density estimates and is approximate.
    • No database or accounts. Recipes stay in the browser only.

    From your inspo

    The person gave a text only note asking for a recipe scaler with servings choice and cups grams switch.

    Takes

    • Recipe scaling job from the note
    • Servings picker idea
    • Cups and grams toggle idea

    Cost per run: about $0.006 (est.). One Spark call with about 1500 input tokens at $1.25 per million is $0.0019 plus about 1000 output tokens at $4.25 per million is $0.0043 for a total of about $0.006.

  4. Recorded demo
  5. Done. npm run verify exits 0 — all 6 steps passed, 3 tests green.

    2 m 56 s · $0.44 est.