Vegan Main Dishes
20-Minute Lazy Late-Night Butter Chicken Dal
Per serving
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Ingredients
- Main Ingredients
- 380 g Chicken Alternative
- 200 g Red Lentils
- 400 g Chopped Tomatoes
- 400 ml Coconut milklight
- 300 ml Waterca.
- Spices
- 1 tsp Curry paste
- 2 tsp Garam Masala
- 1 tsp Turmeric
- 1 tsp cumin
- 1 tsp coriander seed
- 1 piece Anisstern
- Seasoning & Finish
- 2 tbsp soy sauce
- 0.5 piece LemonBattery
- 1 tbsp Crispy Chili Oil
- 1 tbsp maple syrup
- 1 Price Saltto taste
- 1 Price Pepperto taste
Instructions
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Sauté Chicken Alternative
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Roasting spices
Roasting the spices significantly intensifies the flavor
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Simmer and boil
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Season and finish
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Tips & variations
Sharper · Creamy · With Vegetables
Sharper
Creamy
With Vegetables
Tools I use
Bamix Hand Blender, Large Pan 32cm, Large stainless steel cooking pot, Large Non-Stick Pan
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Bamix Hand BlenderPerfect for creamy soups & sauces directly in the pot – powerful, quiet, and super easy to clean.
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Large Pan 32cm32 cm Frying Surface – One-Pan Dishes for 4 People Without Crowding
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Large stainless steel cooking potPerfect for curries, pasta, chili, and larger meal prep quantities – stores heat evenly and reliably.
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Large Non-Stick PanPlenty of space for one-pot dishes, vegetables, and crispy tofu without sticking or crowding in the pan.
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About this recipe
A super quick dal recipe with everything you probably have at home. Perfect for late dinners…
What others say
4,5 2 ratings
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Das war wirklich mega lecker! Ich hab zwar das Wasser vergessen (steht auch nirgends, aber vermutlich hätte ich es mit der Kokosmilch und den Tomaten zu den Linsen geben sollen) und zum Schluss mit einem großen Schluck Hafersahne das Ganze nochmal verfeinert, da es doch recht trocken war dank des fehlenden Wassers, aber das Ergebnis war geschmacklich wirklich top!
Reply from Sören
Jaa mit der Flüssiigkeit verhält sich das immer recht individuell. Aber du hast das perfekt gehandhabt wie es scheint 😊
Reviews come from visitors of this site. I don't check whether they cooked the recipe. I only filter spam, insults and other people's data, positive and negative ones show alike.
