SKU: 88142050998

Step-In Dog Harness Clovers

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Description

Step-In Dog Harness Clovers100 % COTTON STEP IN HARNESS Introducing our AA Step In Harness, made from 100% organic cotton. This lightweight and breathable harness keeps your puppy comfortable and stylish during walks. Our step in harness offers both functionality and fashion. With a variety of colors and designs to choose from, you can find the perfect match for your dog's personality and style. Please refer to the size chart before purchase to ensure the right fit for your

100 % COTTON ∙ STEP - IN ∙ HARNESS

Introducing our AA Step-In Harness, made from 100% organic cotton. This lightweight and breathable harness keeps your puppy comfortable and stylish during walks.

Our step-in harness offers both functionality and fashion. With a variety of colors and designs to choose from, you can find the perfect match for your dog's personality and style.

Please refer to the size chart before purchase to ensure the right fit for your puppy. Upgrade your dog's walking experience with our comfortable and trendy 100% cotton harness.

SIZES  ∙ GUIDE

• X Small: neck size 7-9", chest size 9.50-13”, weight suggested up to 6 lbs.
( Breeds - Chihuahua ∙ Yorkshire Terrier ∙ Toy Poodle ∙ Dachshund ∙ Affenpinscher ∙ Pinscher(Miniature) ∙ Pomeranian ∙ Papillon ∙ Bichon Frise ∙ Silky Terrier )

• Small: neck size 9-12”, chest size 12-14.5”, weight suggested 6 to15 lbs.
( Breeds - Shih Tzu ∙ Border Terrier ∙ Australian Terrier ∙ Cairn Terrier ∙ English Toy Spaniel ∙ Havanese ∙ Norfolk Terrier ∙ Norwich Terrier ∙ Schipperke ∙ Lhasa Apso )

• Medium: neck size 12-16”, chest size 14-21”, weight suggested 20 to 45 lbs.
( Breeds - Jack Russell ∙ Pug ∙ Beagle ∙ Boston Terrier ∙ Bedlington Terrier ∙ Jagdterrier ∙ Manchester Terrie ∙ Poodle ∙ Scottish Terrier ∙ Whippet ∙ Border Collie ∙ Pit Bull ∙ Cocker Spaniel ∙ Bull Terrier ∙ English Bulldog ∙ Dalmatian ∙ Australian Kelpie ∙ Azawakh ∙ English Shepherd ∙ Sussex Spanie )

• Large:  neck size 16-22”, chest size 20.50-29.50”, weight suggested 45 to 70 lbs.
( Breeds - Boxer ∙ Labrador Retriever ∙ Doberman ∙ Weimaraner ∙ Foxhound ∙ Basset Hound ∙ Weimaraner ∙ Entlebucher ∙ Collie ∙ Belgian ∙ Shepherd )

• X Large:  neck size 22-36”, chest size 29-48”, weight suggested 75 lbs  up.
( Breeds - Boxer ∙ Retriever ∙ Doberman ∙ Weimaraner ∙ Borzoi ∙ Basset Hound ∙ German Shepherd ∙ Giant Schnauzer ∙ Scottish Deerhound ∙ Rhodesian Ridgeback ∙ Alaskan Malamute ∙ Belgian Malinois )

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SKU: 88142050998

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J
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Jason Bolton
Battle Creek, US
★★★★★ 5
Great book
Format: Paperback
Great book! It is helpful as I work towards my Masters of Science in Applied Artificial Intelligence
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 20, 2025
J
Verified Purchase
James Gianoglio
Charlottesville, US
★★★★★ 5
Comprehensive Guide with Practical Insights
Format: Paperback
This is a solid book for understanding the art and science of working with LLMs and other generative AI models. I always struggled with getting the output I was looking for, and wasn't sure how best to "ask" the models for what I wanted. This book did a great job of laying out the strategies and practical guidance to craft the prompts. There were a lot of tips and tricks, but the overall understanding and framework around prompt engineering has been super useful.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
M
Verified Purchase
Matt B
West Palm Beach, US
★★★★★ 5
A must read!
Format: Paperback
Hands down, the best book on prompt engineering and implementing LLMs. Really enjoyed Michael and James deep dive. Whether you're technical or not, this book is foundational to a deeper understanding in how to properly explore and implement LLMs.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
S
Verified Purchase
SR
Lake Worth, US
★★★★★ 4
Helpful for GPT/LangChain framework
Format: Paperback
I applaud the authors for putting forth a comprehensive introduction in a rapidly evolving space. I absorbed a lot, helpful as I was developing a prototype — using open source methods. And that’s where I was disappointed. The LLM and examples are highly adapted to OpenAI’s GPT-x and the bulky LangChain framework, something not obvious until you dig in to the book. Sure, this may be where newbie demand was when the authors began writing. But as the open source models and OpenAI alternatives gain speed (e.g. Llama 3.1, Groq, etc.) this book may quickly need an updated and expanded version to stay relevant.
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Reviewed in the United States on August 7, 2024
K
Verified Purchase
K. Wain
Pawtucket, US
★★★★★ 3
Good concepts, but uneven depth
Format: Paperback
Some helpful prompt frameworks, but parts felt repetitive and a few sections stayed too high-level for advanced users. Beginners will likely benefit more than experienced practitioners. If you’re new to prompt engineering it’s a decent starting point; if you’re already building structured prompts daily, it may feel light.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 17, 2026

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