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Reverse-engineered

Motek-Style Arayes Burger

★★★★★★★★3.031 min · 16 min hands-on

A deeply savory fusion of Middle Eastern street food and the American burger, featuring a spiced meat blend pressed into pita and seared to perfection.

Total
31 min
Hands-on
16 min
Serves
2 servings
Verified cooks
0
real kitchens, finished plates
Trust
C+59

Reverse-engineered from Motek · Miami

Decode confidence74%
ingredients
80%
proportions
70%
technique
72%
published sourcekitchen iterationAI analysis3 kitchen iterations

Ingredients

for 2 servings

  • 250 gground lamb
  • 250 gground beef
  • 4pita bread — split in half
  • 3 clovesgarlic — minced
  • 1.5 tspground cumin
  • 0.5 tspcoriander seeds — toasted and ground
  • 1 tspsmoked paprika
  • 1.5 tspkosher salt
  • 0.5 tspblack pepper
  • 2 tbspextra virgin olive oil
  • 0.25 cuptahini — whisked with lemon juice and water
  • 1cucumber — thinly slicedoptional

Equipment

checked against your kitchen

  • ✓cast iron skillet

What cooks learned

Only 3 cooks have logged this one in Cook Mode so far — not enough to say anything about where it goes wrong.

Method

  1. 1

    In a large bowl, combine ground lamb, ground beef, minced garlic, cumin, coriander, smoked paprika, salt, pepper, and olive oil.

    5 min

    → meat mixture

  2. 2

    Spread a thin layer of the meat mixture over each pita half, pressing firmly to ensure it adheres to the bread.

    3 min

    → assembled burgers

  3. 3parallel track

    Heat a heavy cast-iron skillet over medium-high heat and add a drizzle of oil.

    2 min190°C oil
  4. 4

    waits for: steps 2 and 3

    Place the assembled burgers in the skillet, pressing down with a weight or a heavy spatula to flatten them.

    12 min · 4 min attention200°C surface
  5. 5

    Flip the burgers once the bottom is deeply browned and charred.

    6 min · 2 min attention

    Done when: dark golden brown crust on the pita

  6. 6

    Remove from heat and let rest for 3 minutes before serving.

    3 min · unattended
Why this grade?
  • reverse-engineered provenance+40
  • decode confidence 74%+18.5
  • Trust score59/100