SKU: 11846768331

Signature Forest Green Shorts

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

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Description

Signature Forest Green ShortsOur signature Shorts are made from a soft and durable poly cotton blend perfect for all year round and with our cotton backing you can trust that youll be wrapped in comfort. Our Shorts are true to size so make sure you size up for that extra comfort room. Upgrade your wardrobe with our signature Shorts. True to size Size up for extra comfort Premium embroidery Soft and durable with cotton backing Front pockets Materials and care Acrylic, Cotton,

Our signature Shorts are made from a soft and durable poly cotton blend perfect for all year round and with our cotton backing you can trust that you’ll be wrapped in comfort.

Our Shorts are true to size so make sure you size up for that extra comfort room.

Upgrade your wardrobe with our signature Shorts.

  • True to size
  • Size up for extra comfort
  • Premium embroidery
  • Soft and durable with cotton backing 
  • Front pockets


Materials and care

  • Acrylic, Cotton, Polyester mix 
  • Cotton Backing on inside
  • Wash at 30 degrees
  • Do not bleach 
  • Do not tumble dry 
  • Do not use fabric conditioner 
  • Do not dry clean


Delivery and returns

All our clothing is made right here in the UK within 3 working days and is dispatched free to anywhere in the UK via Royal Mail 48hr tracked delivery.

Please allow 7 days from purchase for your order to arrive as all our clothing is made to order.

Ourdentity offers a 14 day return policy from deliver date to receive a refund or 28 days for an exchange or gift voucher.

Worldwide shipping is calculated automatically at checkout.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
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  • 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: 11846768331

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4.1 ★★★★★
Based on 10 reviews
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D
Verified Purchase
David Escobar
Belleville, 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
Charlottesville, 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
Port Orchard, 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
Massapequa, 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

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