SKU: 95309882454

Nitrous Express 15-17 Ford Mustang GT350 5.2L Nitrous Plate Kit w/12lb Bottle (20953-12)

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Description

Nitrous Express 15-17 Ford Mustang GT350 5.2L Nitrous Plate Kit w/12lb Bottle (20953-12)The Nitrous Express Plate System for the Mustang GT350 5. 2L features Spraybarless technology for the ultimate in atomization and distribution. The billet plate bolts between the throttle body and intake making installation quick and easy. The solenoids are made of billet aluminum and carbon fiber for the ultimate in performance and weight savings! A direct plug in Fuel Line Adapter is provided to simplify installation (no need to cut your factory

The Nitrous Express Plate System for the Mustang GT350 5.2L features Spraybarless technology for the ultimate in atomization and distribution. The billet plate bolts between the throttle body and intake making installation quick and easy. The solenoids are made of billet aluminum and carbon fiber for the ultimate in performance and weight savings! A direct-plug-in Fuel Line Adapter is provided to simplify installation (no need to cut your factory fuel lines). This system includes a TPS Autolearn switch so the nitrous only activates at wide open throttle and automatically turns off when you let your foot off the accelerator. The system includes jetting for 50, 75, 100, 125, 150, 200, 250, and 300 horsepower. Systems include a stainless braided N2O line, master arming switch, relay, relay harness and all necessary hardware to complete the installation. Systems ordered with a nitrous bottle include the new billet aluminum Lightning bottle valve and stainless bottle brackets.

Features:

  • High quality at an affordable price
  • Expertly made from premium materials
  • Built to match your exact requirements

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    Nitrous and Water/Methanol Instructions

     

     

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    SKU: 95309882454

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    4.2 ★★★★★
    Based on 20 reviews
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    D
    Verified Purchase
    David Escobar
    Draper, 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
    Los Angeles, 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
    Charlottesville, 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
    Natrona Heights, 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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