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Description
Fairytale Spinner GamePlayers spin to select the elements for their fairy tale. When they have collected a scene, a hero, a magical helper, a rival, a magical object, transportation, and a treasure, they tell the tale that these elements evoke. Game extensions encourage compassion by suggesting using a misunderstood rival as a hero on occasion, and longer tales for two players. Illustrated by Lizzy Rockwell. Ages 5+ 2 to 4 players Box size: 9. 5" x 9. 5" x 1. 5" Includes 4
Players spin to select the elements for their fairy tale. When they have collected a scene, a hero, a magical helper, a rival, a magical object, transportation, and a treasure, they tell the tale that these elements evoke. Game extensions encourage compassion by suggesting using a misunderstood rival as a hero on occasion, and longer tales for two players. Illustrated by Lizzy Rockwell. • Ages 5+ • 2 to 4 players • Box size: 9.5" x 9.5" x 1.5" • Includes 4 Heroes, 4 Rivals, 4 Helpers, 4 Magical Objects, 4 Means of Transport, 4 Treasures, 4 Fairytale Places • Sustainably Sourced: Made with recycled board and printed on FSC®-certified paper using vegetable-based inks • Winner of the Oppenheim Platinum Best Toy AwardShipping Notes
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4.1 ★★★★★
Based on 13 reviews
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Product Reviews
★★★★★ 5
Effective book for learning ollama
Format: Paperback
The author has explained clearly the concept. Helpful and effectively written.
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Reviewed in the United States on January 21, 2026
★★★★★ 4
Beginners Guide to Running Your Own Private LLM
Format: Kindle
I just read this book and really enjoyed how it breaks down using Ollama as your own private LLM. It gives you just enough info to spark some cool ideas and make you want to dive deeper into AI. If you’re totally new and curious, this is a fun, easy place to start!
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Reviewed in the United States on August 4, 2025
★★★★★ 5
Lim provides an easy-to-follow path to get an LLM-powered app up and running
Format: Kindle
Lim has written another really clear, easy-to-follow tutorial. This one walked me through the Ollama platform showing step-by-step how to download open weight models, query them, supply them with my own documents, and write applications that are powered by LLMs. Lim provides an easy-to-follow path to get the first version of an LLM-powered app up and running.
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Reviewed in the United States on February 20, 2026
★★★★★ 5
Excellent roadmap for the local AI jungle
Format: Paperback
Great little book.
Every page has something useful. No fluff. Clearly written by someone whose been in the trenches lol
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Reviewed in the United States on September 23, 2025
★★★★★ 5
Great primer for building LLM Applications
Format: Kindle
I highly recommend the book for anyone who wants to come up to speed on running Ollama for open models. The book is well structure and teach you how to create a working RAG Application. I recommend as a primer for anyone interested in building LLM Applications.
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Reviewed in the United States on May 5, 2025