SKU: 58384129219

PAIR - EXTREME DREAM WHIPS

Sale price$117.00 Regular price$130.00
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Ships within 48 hours · Estimated delivery Aug 22 - Aug 27

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Description

PAIR - EXTREME DREAM WHIPSMADE IN TEXAS Must run to toggle switch or a cut off. Can not be wired DIRECTLY to battery. 2' whips measure 24" 3' whips measure 36" 4' whips measure 48" Handheld remote has a RF frequency. Does not need to be close or pointed directly to operate. Control box has roughly 250+ patterns and functions to choose from. For example: STACKING, CHASING, RAINBOW, SOLID OR MULTICOLORED. You can save 16 of your favorite patterns on your remote along with the

MADE IN TEXAS

Must run to toggle switch or a cut off. Can not be wired DIRECTLY to battery.


2' whips measure - 24"
3' whips measure - 36"
4' whips measure - 48"
  1. Handheld remote has a RF frequency. Does not need to be close or pointed directly to operate. Control box has roughly 250+ patterns and functions to choose from. For example: STACKING, CHASING, RAINBOW, SOLID OR MULTICOLORED. You can save 16 of your favorite patterns on your remote along with the ability to adjust the speed. You can lock your whips to your control box with the remote so no one else can control it.
  2. Bluetooth control box (App is LED HUE) This option will give you 122 preset patterns and functions with the ability to dim, adjust speed or operate a color wheel.  Some functions include: RED WHITE AND BLUE, STACK, CHASE, RAINBOW, DRIP LEDS. 
  3. Quick disconnect mounts for easy removal. Bolt on installation. This quick disconnect stays attached to the vehicle. You will use the pull pin to remove the whip from the mount.
  4. Six foot y-splitter will go from each whip to one control box, this way both whips will always stay synced to one another.
  5. Very flexible polycarbonate tubing, we have reinforced the middle of our whips for extra durability.
  6. Lifetime manufactures warranty through us.

WHIPS SOLD AS A PAIR WILL BE SYNCED 
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SKU: 58384129219

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4.7 ★★★★★
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D
Verified Purchase
David Escobar
Cuba, 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
Chelsea, US
★★★★★ 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
E
Verified Purchase
Eddwin Paz
Lake Worth, US
★★★★★ 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
B
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B. Black
Belleville, US
★★★★★ 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
J
Joe Faith
Louisville, 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.
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Reviewed in the United States on July 17, 2025

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