Home / Recipes / Deep Present ๐งโโ๏ธ How to Make Deep Present in Infinite CraftDeep Present is a long haul. Even on the shortest known route it takes 70 combinations to get there, and the final one is Deep Learning plus Present Tense. Expect to build several intermediate elements you will never use again.
The final combination
๐ง ๐ป Deep Learning+ ๐ Present Tense= ๐งโโ๏ธ Deep Present
Marathon 70 steps from the base elements ยท crafting depth 114
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What is worth knowing At 70 steps it is longer than 100% of solved elements, which puts it in our marathon band. Its crafting depth of 114 is unusually deep. Depth counts the longest chain needed to reach it, and most elements people search for sit well below this. Full crafting path from the base elements Start with Water, Fire, Wind and Earth, then follow these 70 combinations in order.
1 ๐ฅ Fire+ ๐ง Water= ๐จ Steam2 ๐จ Steam+ ๐จ Wind= โ๏ธ Cloud3 ๐ Earth+ ๐จ Wind= ๐ซ๏ธ Dust4 ๐ซ๏ธ Dust+ ๐ Earth= ๐ช Planet5 ๐ฅ Fire+ ๐ช Planet= โ๏ธ Sun6 ๐ฅ Fire+ โ๏ธ Sun= โ๏ธ Solar7 ๐ช Planet+ โ๏ธ Solar= ๐ป System8 ๐ฅ Fire+ ๐ป System= ๐ป Computer9 โ๏ธ Cloud+ ๐ป Computer= โ๏ธ Cloud Computing10 ๐ง Water+ ๐ง Water= ๐ Lake11 โ๏ธ Cloud Computing+ ๐ Lake= ๐๐๏ธ Data Lake12 ๐ Earth+ ๐ง Water= ๐ฑ Plant13 ๐ฅ Fire+ ๐จ Wind= ๐จ Smoke14 ๐ฑ Plant+ ๐จ Smoke= ๐ฏ๏ธ Incense15 ๐ง Water+ ๐จ Wind= ๐ Wave16 ๐ Earth+ ๐ Wave= ๐๏ธ Sand17 ๐ฅ Fire+ ๐๏ธ Sand= ๐ฅ Glass18 ๐ฅ Fire+ ๐ฅ Glass= ๐ Lens19 ๐ Lens+ ๐ง Water= ๐ฌ Microscope20 ๐ฏ๏ธ Incense+ ๐ฌ Microscope= ๐ฌ Science21 ๐๐๏ธ Data Lake+ ๐ฌ Science= ๐ Data Science22 ๐ฑ Plant+ ๐จ Wind= ๐ผ Dandelion23 ๐ผ Dandelion+ ๐ง Water= ๐ท Wine24 ๐ง Water+ ๐ท Wine= ๐ฆ Holy Water25 ๐ฅ Fire+ ๐ฆ Holy Water= ๐ง Vampire26 ๐ผ Dandelion+ ๐ฑ Plant= ๐ฟ Weed27 ๐ง Vampire+ ๐ฟ Weed= ๐งฎ Count28 ๐งฎ Count+ ๐ Wave= ๐ข Counting29 ๐ข Counting+ ๐ฟ Weed= ๐ Math30 ๐ Data Science+ ๐ Math= ๐ค Machine Learning31 ๐ฑ Plant+ ๐ง Water= ๐ Swamp32 ๐ฅ Fire+ ๐ Swamp= ๐ Dragon33 ๐ Dragon+ ๐ซ๏ธ Dust= ๐ Dragonfly34 ๐ Dragonfly+ ๐ Earth= ๐ Ant35 ๐ฅ Fire+ ๐จ Steam= ๐ Engine36 ๐ผ Dandelion+ ๐ Engine= ๐ Helicopter37 ๐ Earth+ ๐ Earth= ๐๏ธ Mountain38 ๐ Helicopter+ ๐๏ธ Mountain= ๐ Rescue39 ๐ Ant+ ๐ Rescue= ๐ Aid40 ๐ซ๏ธ Dust+ ๐จ Wind= ๐ช๏ธ Sandstorm41 ๐ช๏ธ Sandstorm+ ๐ง Water= ๐๏ธ Oasis42 ๐๏ธ Oasis+ ๐ฑ Plant= ๐ Date43 ๐ Date+ ๐ง Water= ๐ Dating44 ๐ Earth+ ๐จ Steam= ๐ฉ Mud45 ๐ฅ Fire+ ๐ฉ Mud= ๐งฑ Brick46 ๐งฑ Brick+ ๐งฑ Brick= ๐งฑ Wall47 ๐ Dating+ ๐งฑ Wall= ๐ฌ Facebook48 ๐ฌ Facebook+ ๐ฅ Fire= ๐ Like49 ๐ Aid+ ๐ Like= ๐ Similar50 ๐ค Machine Learning+ ๐ Similar= ๐ง ๐ป Deep Learning51 ๐ซ๏ธ Dust+ ๐ฅ Fire= ๐ Ash52 ๐ Earth+ ๐ Engine= ๐ Tractor53 ๐ Earth+ ๐ Tractor= ๐ Farm54 ๐ Farm+ ๐ฅ Fire= ๐ Barbecue55 ๐ Ash+ ๐ Barbecue= ๐ Burger56 ๐ Burger+ ๐ง Water= ๐ Soggy Burger57 ๐ซ๏ธ Dust+ ๐ Engine= ๐งน Vacuum58 ๐ฅ Fire+ ๐งน Vacuum= ๐ณ๏ธ Black Hole59 ๐ณ๏ธ Black Hole+ ๐ Engine= โฐ Time Machine60 ๐ Soggy Burger+ โฐ Time Machine= ๐๐ Future Burger61 ๐ฑ Plant+ ๐จ Steam= ๐ต Tea62 ๐ Engine+ ๐จ Wind= ๐ฌ๏ธ Windmill63 ๐ต Tea+ ๐ฌ๏ธ Windmill= ๐ณ๐ฑ Dutch64 โ๏ธ Sun+ โฐ Time Machine= ๐ฎ Future65 ๐ณ๐ฑ Dutch+ ๐ฎ Future= ๐ฐ Tense66 ๐๐ Future Burger+ ๐ฐ Tense= ๐ฎ Future Tense67 ๐จ Wind+ ๐จ Wind= ๐ช๏ธ Tornado68 ๐ณ๏ธ Black Hole+ ๐ช๏ธ Tornado= ๐ Singularity69 ๐ฎ Future Tense+ ๐ Singularity= ๐ Present Tense70 ๐ง ๐ป Deep Learning+ ๐ Present Tense= ๐งโโ๏ธ Deep PresentCrafting tree 1 Fire + Water โ Steam 2 Steam + Wind โ Cloud 3 Earth + Wind โ Dust 4 Dust + Earth โ Planet 5 Fire + Planet โ Sun 6 Fire + Sun โ Solar 7 Planet + Solar โ System 8 Fire + System โ Computer 9 Cloud + Computer โ Cloud Computing 10 Water + Water โ Lake 11 Cloud Computing + Lake โ Data Lake 12 Earth + Water โ Plant 13 Fire + Wind โ Smoke 14 Plant + Smoke โ Incense 15 Water + Wind โ Wave 16 Earth + Wave โ Sand 17 Fire + Sand โ Glass 18 Fire + Glass โ Lens 19 Lens + Water โ Microscope 20 Incense + Microscope โ Science 21 Data Lake + Science โ Data Science 22 Plant + Wind โ Dandelion 23 Dandelion + Water โ Wine 24 Water + Wine โ Holy Water 25 Fire + Holy Water โ Vampire 26 Dandelion + Plant โ Weed 27 Vampire + Weed โ Count 28 Count + Wave โ Counting 29 Counting + Weed โ Math 30 Data Science + Math โ Machine Learning 31 Plant + Water โ Swamp 32 Fire + Swamp โ Dragon 33 Dragon + Dust โ Dragonfly 34 Dragonfly + Earth โ Ant 35 Fire + Steam โ Engine 36 Dandelion + Engine โ Helicopter 37 Earth + Earth โ Mountain 38 Helicopter + Mountain โ Rescue 39 Ant + Rescue โ Aid 40 Dust + Wind โ Sandstorm 41 Sandstorm + Water โ Oasis 42 Oasis + Plant โ Date 43 Date + Water โ Dating 44 Earth + Steam โ Mud 45 Fire + Mud โ Brick 46 Brick + Brick โ Wall 47 Dating + Wall โ Facebook 48 Facebook + Fire โ Like 49 Aid + Like โ Similar 50 Machine Learning + Similar โ Deep Learning 51 Dust + Fire โ Ash 52 Earth + Engine โ Tractor 53 Earth + Tractor โ Farm 54 Farm + Fire โ Barbecue 55 Ash + Barbecue โ Burger 56 Burger + Water โ Soggy Burger 57 Dust + Engine โ Vacuum 58 Fire + Vacuum โ Black Hole 59 Black Hole + Engine โ Time Machine 60 Soggy Burger + Time Machine โ Future Burger 61 Plant + Steam โ Tea 62 Engine + Wind โ Windmill 63 Tea + Windmill โ Dutch 64 Sun + Time Machine โ Future 65 Dutch + Future โ Tense 66 Future Burger + Tense โ Future Tense 67 Wind + Wind โ Tornado 68 Black Hole + Tornado โ Singularity 69 Future Tense + Singularity โ Present Tense 70 Deep Learning + Present Tense โ Deep Present
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Deep Present at a glance
Steps to craft 70 Marathon
Crafting depth 114 longer than 100% of solved elements
Known recipes 1 only one way
Used in 0 other combinations Other elements that take 70 steps Similar effort to Deep Present, if you want something else to chase.
Frequently asked questions How do you make Deep Present in Infinite Craft? Combine Deep Learning with Present Tense. The full path from the base elements takes 70 steps.
How many steps does it take to make Deep Present? 70 steps on the shortest known path from Water, Fire, Wind and Earth.
Is Deep Present hard to make in Infinite Craft? It rates as marathon. At 70 steps it is longer than 100% of solved elements.
Is there more than one way to make Deep Present? Only one known combination produces Deep Present.
Path verified against the open recipe graph on 2026-10-23 . Method described in our methodology , data credited on data sources .