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Ships within 48 hours · Estimated delivery Jul 6 - Jul 11
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Description
FIA TR42-68 BLACK GRAY - TR40 Series Wrangler Saddleblanket Custom Fit Rear Seat CoverTR40 Series Wrangler custom fit seat covers are engineered with authentic woven saddle blanket material. An advanced design creates a dynamic state of the art custom interior. On vehicle testing of all Fia custom fit seat covers ensures an exact fit each time. Super Grip is the slip resistent fastening system that incorporates quick release belt and buckle fasteners, zippers and velcro, making installation quick and easy. The form fit wrap around
TR40 Series Wrangler custom fit seat covers are engineered with authentic woven saddle blanket material. An advanced design creates a dynamic state-of-the-art custom interior. On vehicle testing of all Fia custom fit seat covers ensures an exact fit each time. Super- Grip is the slip resistent fastening system that incorporates quick release belt and buckle fasteners, zippers and velcro, making installation quick and easy. The form fit wrap around design that is accomplished through multi-directional stretch trim material molds the cover to the contours of your seat. The material is hand washable as well as lightfast and colorfast. Custom formed seat belt and head rest openings, along with center console covers add to the original equipment custom look. Head rest covers included. Available in Black, Brown, Gray, Navy and Wine.- State-of-the-Art Custom Interior; Advanced Design; Super-Grip Technology; Quick and Easy Installation; Wear Resistant Fabrics; Allowances for Side Airbags
Attributes
Attributes
- GTIN: 00057001492914
- Brand Name: FIA
- Color: Black
- Material: Saddle Blanket
Extended Information
Extended Information
- Country of Origin: Canada
- Emissions : Released
- Life Cycle Status: Available To Order
Packing Information
Packing Information
- Quantity of Each: 1
- Package UOM: EA
- Dimension: 15.75 x 11.75 x 5.75 inches
- Weight: 5 lb
PDF
PDF:
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4.3 ★★★★★
Based on 2386 reviews
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Product Reviews
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
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Reviewed in the United States on November 16, 2019
★★★★★ 5
Great book
Format: Paperback
Love the fact you put examples in python and javascript.
Great book.
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Reviewed in the United States on June 10, 2025
★★★★★ 5
proper documentation from langchain
Format: Paperback
Liked the book. But Still missing Human in the loop.
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Reviewed in the United States on April 19, 2025
★★★★★ 3
Already outdated
Format: Paperback
Concepts are sound but the code in this book is already obsolete
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Reviewed in the United States on August 5, 2025
★★★★★ 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.
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Reviewed in the United States on July 17, 2025