SKU: 16478765824

AMP Research 2007-2017 Toyota Tundra Extended Crew Cab (Plug N Play) PowerStep XL - Black

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Description

AMP Research 2007-2017 Toyota Tundra Extended Crew Cab (Plug N Play) PowerStep XL - BlackThe AMP Research POWERSTEPXL automatic electric powered running board is designed for lifted trucks. The board has been integrated into a custom rocker rail and creates a seamless look while providing a 3 in. lower stepping surface than the original POWERSTEP. This allows easier access to and from the vehicle's cab. Learn about the POWERSTEPXL and its features and benefits in this new video. Installation Instructions Warranty Installation Instructions

The AMP Research POWERSTEPXL automatic electric-powered running board is designed for lifted trucks. The board has been integrated into a custom rocker rail and creates a seamless look while providing a 3 in. lower stepping surface than the original POWERSTEP. This allows easier access to and from the vehicle's cab. Learn about the POWERSTEPXL and its features and benefits in this new video.

Installation Instructions
Warranty
Installation Instructions

This Part Fits:

Year Make Model Submodel
2014-2021 Toyota Tundra 1794 Edition
2007-2013 Toyota Tundra Base
2007-2021 Toyota Tundra Limited
2021 Toyota Tundra Nightshade
2010-2021 Toyota Tundra Platinum
2014-2021 Toyota Tundra SR
2007-2011,2014-2021 Toyota Tundra SR5
2021 Toyota Tundra Trail
2015-2017,2019-2021 Toyota Tundra TRD Pro
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SKU: 16478765824

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4.1 ★★★★★
Based on 14 reviews
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Product Reviews
D
Verified Purchase
David Escobar
Phoenix, 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
Phoenix, 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
Draper, 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

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