Pay in installments of $181.62 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Aug 15 - Aug 20
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
McLeod Street Twin Steel Ford 1996-Up 4.6L Eng 6 Bolt 1-1/16X10 164Street Twin In 1974 with the rising popularity of power adders such as Nitrous,Superchargers and Turbochargers, McLeod recognized the need for a clutch assembly that was street friendly, yet still capable of handling up to 1,200 horsepower, thus the Street Twin was born! This series of McLeod clutch kit is intended for high horsepower street enthusiast. Whether it's NOS,Supercharger,Turbocharger or a Big Inch mountain motor the "Original Street Twin"
Street Twin - In 1974 with the rising popularity of power adders such as Nitrous,Superchargers and Turbochargers, McLeod recognized the need for a clutch assembly that was street friendly, yet still capable of handling up to 1,200 horsepower, thus the Street Twin was born! This series of McLeod clutch kit is intended for high horsepower street enthusiast. Whether it's NOS,Supercharger,Turbocharger or a Big Inch mountain motor the "Original Street Twin" can handle it. Go with the innovator not the imitator McLeod Racing!
- • Street Twin.
This Part Fits:
Year Make Model Submodel 1992-2008,2010 Ford Crown Victoria Base 2002-2003 Ford Crown Victoria LWB 1992-2010 Ford Crown Victoria LX 2004-2006 Ford Crown Victoria LX Sport 1993-2010 Ford Crown Victoria Police Interceptor 1992-2003,2005 Ford Crown Victoria S 2005 Ford Crown Victoria Special Edition 1992 Ford Crown Victoria Touring Sedan 2003-2010 Ford E-150 Base 2006-2007 Ford E-150 Chateau 2006-2010 Ford E-150 XL 2006-2010 Ford E-150 XLT 2003-2005 Ford E-150 Club Wagon Chateau 2003-2005 Ford E-150 Club Wagon XL 2003-2005 Ford E-150 Club Wagon XLT 1997-2002 Ford E-150 Econoline Base 1997-2000 Ford E-150 Econoline XL 1997-2002 Ford E-150 Econoline Club Wagon Chateau 1997-2000 Ford E-150 Econoline Club Wagon Custom 2001-2002 Ford E-150 Econoline Club Wagon XL 1997-2002 Ford E-150 Econoline Club Wagon XLT 2003-2010 Ford E-250 Base 1997-2004 Ford Expedition Eddie Bauer 2004 Ford Expedition NBX 2004 Ford Expedition XLS 1997-2004 Ford Expedition XLT 2004 Ford Expedition XLT Sport 2002-2010 Ford Explorer Eddie Bauer 2002-2010 Ford Explorer Limited 2004 Ford Explorer NBX 2002-2010 Ford Explorer XLT 2004-2005 Ford Explorer XLT Sport 2007-2010 Ford Explorer Sport Trac Limited 2007-2010 Ford Explorer Sport Trac XLT 1997-2000 Ford F-150 Base 2008,2010 Ford F-150 FX2 2001-2003 Ford F-150 King Ranch 1997-2003 Ford F-150 Lariat 2004-2010 Ford F-150 STX 1997-2010 Ford F-150 XL 1997-2010 Ford F-150 XLT 2004 Ford F-150 Heritage XL 2004 Ford F-150 Heritage XLT 1997-1999 Ford F-250 Base 1997-1999 Ford F-250 Lariat 1997-1999 Ford F-250 XL 1997-1999 Ford F-250 XLT 2008-2009 Ford Mustang Bullitt 1996-2010 Ford Mustang GT 2001 Ford Mustang GT Bullitt 2003-2004 Ford Mustang Mach 1 2007-2008 Ford Mustang Shelby GT 1996-1999,2001,2003-2004 Ford Mustang SVT Cobra 2003 Ford Mustang SVT Cobra 10th Anniversary 1994-1997 Ford Thunderbird LX
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- 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
4.0 ★★★★★
Based on 10 reviews
Sort
Product Reviews
★★★★★ 5
Great Resource when Integrating AI
Format: Kindle
This is a great resource when building systems that integrate with AI. It manages to cover the entire lifecycle and even tips for corporate environments!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 26, 2025
★★★★★ 4
Title: Really Good Book for Learning LLMs
Format: Paperback, Format: Paperback
I picked up this book after struggling with LLM implementation at work. Ken Huang explains things clearly without too much technical jargon.
The book covers everything from data preparation to building AI agents. I especially liked the chapters on RAG and prompting techniques - they helped me improve my current projects. The code examples actually work, which is nice.
Some parts are pretty advanced, so you need basic Python knowledge. I had to read a few chapters twice to fully get it. The fairness and bias detection section was eye-opening.
Good practical advice throughout. Not just theory - real solutions you can use. Worth the money if you're serious about LLM development.
Recommended for anyone building AI systems professionally.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 25, 2025
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity.
What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike.
Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 2, 2025
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them.
Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!)
Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples).
Seems like the book was rushed, and the author has limited hands on experience (if any).
At least we know based on the amount of flaws that it was not written by an LLM
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 31, 2025
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket!
Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC.
- How to prepare your data for training by making it extremely clean.
Developing the brains: the practical aspects of training, optimizing, and maintaining your models.
- Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities.
Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise.
- It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!)
Really, this feels like a useful toolkit, so Ken thank you for that resource
Thanks, Idan Habler
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 9, 2025