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Magic Lessons in Wand Valley - a jigsaw puzzle tale

M
Magic Lessons in Wand Valley - a jigsaw puzzle tale
Learning magic the hard way. See how the wizard apprentice Leroy takes his greatest lesson in a minimalist jigsaw puzzle game, featuring six illustrations from @tiagoalvarez.art with his cartoony art style.

Game Assets

System Requirements

Windows
Minimum:
  • Requires a 64-bit processor and operating system
  • OS *: Windows 7 SP1+
  • Processor: 2 Ghz Dual Core
  • Memory: 2 GB RAM
  • Graphics: Graphics card supporting DirectX 9.0c
  • DirectX: Version 9.0
  • Storage: 200 MB available space
  • Sound Card: Any
Recommended:
  • Requires a 64-bit processor and operating system

About This Game

Once upon a time…
Leroy finally is an apprentice in the Wand Valley Magic School, which had been his dream since his earliest years. But lessons are so slow, could he learn faster?

Discover his story in six beautiful illustrations in this minimalist jigsaw puzzle game.

  • Set up the jigsaw puzzle scenes at five different levels of difficulty - from 135 to 735 pieces.
  • Illustrations created especially for the game by artist Tiago Alvarez (@tiagoalvarez.art) with his creative art style.
  • Relax with an immersive and exclusive soundtrack.
  • Features include zooming the scene, highlighting border pieces, shuffling the remaining pieces, previewing the scene.
  • Complete the puzzle and unlock the image for download. Share it to express your achievements! Use it as a desktop background to inspire your day!

Play this if you love fantasy stories and love jigsaw puzzles!

Have you ever learned something the hard way? Share your experience on our community forum.

Game Details

Product Type
Game
Franchise
Mens Sana Interactive
Release Date
09-07-2020
All Reviews
Mostly Positive (47)
User Rating
97.87%
Wishlists
Followers
105
Genres
Casual
Tags
--
Original Price
$1.99
Current Price
$1.99
Gross Revenue
$1.70k
Units Sold
1.43k
Player Modes
Single-player
Features
Steam AchievementsFamily Sharing

Game Performance

DLC Performance

AI Review Analysis

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