SKU: 36387366693

Deddy Bears: Series 5 Large Coffin - Sam Uri

Sale price$40.49 Regular price$44.99
Save 10%

Pay in installments of $11.25 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Aug 22 - Aug 27

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

Deddy Bears: Series 5 Large Coffin - Sam UriThe large size Deddy Bear Plush stands at 30cm tall and are made from super soft, super squishy materials! Each Deddy Bear is packaged in a large coffin shaped box with an acetate front window. Order all characters in an assortment of 6. The Series 5 collection includes Deddy Bear characters Edgar Allen Crow, Prizzabear, Sam Uri, Virus, Ex Stink Bear and Daze McLick Me. These Deddy Bear Blind Bags are perfect for collectors and fright fans alike! Each

The large size Deddy Bear Plush stands at 30cm tall and are made from super soft, super-squishy materials! Each Deddy Bear is packaged in a large coffin-shaped box with an acetate front window.

Order all characters in an assortment of 6. The Series 5 collection includes Deddy Bear characters Edgar Allen Crow, Prizzabear, Sam Uri, Virus, Ex-Stink Bear and Daze McLick Me. These Deddy Bear Blind Bags are perfect for collectors and fright fans alike!

Each Deddy Bears Series 5 character now includes an interactive AR/AI Card, bringing your bear to life through your phone or tablet. Simply scan the card in the app to meet your Deddy Bear, learn its backstory, play themed mini-games, and even ask it questions! Plus, every pack contains a unique Roblox code to unlock exclusive accessories for your Roblox character! Play the Deddy Bears Tower Defence game on Roblox – the ultimate way to extend the creepy-cute fun.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 36387366693

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.0 ★★★★★
Based on 25 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
D
Verified Purchase
David Escobar
Chelsea, US
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 16, 2019
F
Verified Purchase
Filipe Fernandes
Omaha, US
★★★★★ 5
Great book
Format: Paperback
Love the fact you put examples in python and javascript. Great book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 10, 2025
E
Verified Purchase
Eddwin Paz
Phoenix, US
★★★★★ 5
proper documentation from langchain
Format: Paperback
Liked the book. But Still missing Human in the loop.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 19, 2025
B
Verified Purchase
B. Black
Waukegan, US
★★★★★ 3
Already outdated
Format: Paperback
Concepts are sound but the code in this book is already obsolete
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 5, 2025
J
Joe Faith
Birmingham, US
★★★★★ 5
Unlocking Practical AI: A Developer’s Guide to Building with LLMs and LangChain
Format: Paperback
If you're a developer eager to move beyond LLM experimentation and build robust, context-aware AI applications, this book offers both inspiration and practical guidance. The authors open with a clear passion for the transformative potential of large language models (LLMs) and LangChain, framing these technologies as not just enhancements to the developer’s toolkit, but as gateways to new kinds of “thing-building” superpowers. This sense of possibility is grounded in step-by-step instruction, making the book approachable for those with Python or JavaScript backgrounds who may be new to the world of production-grade AI agents. What stands out is the book’s careful scaffolding: starting with foundational concepts like prompt-based programming and progressing to advanced capabilities such as retrieval-augmented generation, agent planning, and tool integration. Each stage is contextualized with real-world use cases, like customizing chatbots to interact with your own documents, personalizing user experiences through memory, and deploying to production with reliability and security in mind. The focus on chain-of-thought reasoning and LangGraph’s agent architecture demonstrates the authors’ awareness of the current state of AI, where context and planning are just as important as raw language ability.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 17, 2025

recommand products