SKU: 54095068711

Coton de Tulear Address Sign | Custom Metal Vertical House Number Plaque | Pet Owner Gift

$34.72 $38.58
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Description

Coton de Tulear Address Sign | Custom Metal Vertical House Number Plaque | Pet Owner GiftIntroducing our unique metal address sign, perfect for Dog lovers who want to add a touch of personality to their home exterior. This vertical address plaque is intricately crafted from high quality, weather resistant metal, ensuring durability and long lasting beauty. Measuring a convenient 8 12 14 18 24 30 36 inches, it stands out without overpowering your entrance or garden dcor. Our metal address sign is not just an address marker but a statement

Introducing our unique metal address sign, perfect for Dog lovers who want to add a touch of personality to their home exterior. This vertical address plaque is intricately crafted from high-quality, weather-resistant metal, ensuring durability and long-lasting beauty. Measuring a convenient 8/12/14/18/24/30/36 inches, it stands out without overpowering your entrance or garden décor.

Our metal address sign is not just an address marker but a statement piece that showcases your love for furry friends. Whether you're looking to buy it for yourself or as a thoughtful gift for a dog-loving friend, its charming design will surely delight you. Easy to install, it comes with pre-drilled holes, making mounting it on your front door, gate, or mailbox an absolute breeze.

To maintain its pristine condition, simply wipe it with a damp cloth as needed. Handcrafted with care and attention to detail, this metal address sign is a testament to skilled craftsmanship. Its unique design and high-quality materials make it not just a utility item but a stylish accessory that elevates any home exterior. Make your home stand out with this one-of-a-kind address plaque, handmade with love and precision.

KEY FEATURES

Best Material: Our metal signs are cut from METAL. So, they can be with you for years without rusting. With 4 pre-drilled holes and rounded corners, it becomes easy to hang in anywhere. You can choose what design is suitable for your purpose.

Perfect Quality and Durability: We laser-cut each sign with top-of-the-line laser technology to ensure precise design. We powder coat each sign to give your sign a smooth and durable finish. Stay with you for years.

Home decoration: These signs are a nice addition to your home, garden, swimming pool, etc, or any party decoration on special occasions.

Gift of love: A perfect idea if you are looking for a birthday gift, a housewarming gift, a festival gift, or a Mother’s Day/ Father’s Day/ Christmas gift for your family or friends.

Wide usage: It can be used indoors or outdoors. Hang it on the front door or living room wall, over the fireplace, or anywhere according to your decoration idea. Our metal signs have holes for easy hanging. You can hang your signs with wall magnets, outdoor command strips, hooks, nails, etc. We do not provide the hanging equipment due to the many different hanging preferences.

PROCESSING AND SHIPPING

Processing Time: 3 – 5 working days on average after payment

Shipping Time: 7 – 10 working days average (US)

NOTE:

  • Actual color may be slightly different from the image due to different monitors and light effects.

  • Please allow 0.5-2 mm differences due to manual measurement.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
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  • Delivery to the USA:
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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
SKU: 54095068711

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4.5 ★★★★★
Based on 13 reviews
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Product Reviews
J
Verified Purchase
Jenny Holden
Omaha, US
★★★★★ 1
Not useful
Format: Paperback
This book has a few pieces of good advice, but its buried under mountains of weird and amateur level musings. Example: Paul Singman advocates for eliminating ETL entirely. How? Just reprogram the applications to which you may or may not have the source code to handle your data processing. He calls Intention Data Transfer 🥴 Thanks for the advice Paul, I'll get right on that.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 17, 2026
D
Verified Purchase
David Escobar
Boise, US
★★★★★ 5
Good starting point. But can't find the code.
Format: Kindle
Reading chapter 3. It was so far so good, but can't find the code in the repo. "All the related code can be found in the repository under project/hooks-notification." And in the repo I see no project folder. Please help!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 3, 2026
W
Verified Purchase
WU.
Lake Worth, US
★★★★★ 4
Good overview of the leading Agentic Framework. Will become outdated quickly.
Format: Paperback
3.5 Stars rounded up. Not a bad place to start if you need to get up to speed fast with Claude Code, understand its vast feature set, how it works under the hood, best practices, and the various agent primitives and how to get the most out of them. Agentic frameworks (Claude Code in particular) are quickly becoming table stakes for anyone working in tech, so it's best to start now. I appreciated the author's ability to flesh out areas where Anthropic's documentation is lacking in depth and nuance, and for some not already working with Claude in their own repos, the fact that he provides "toy" repos where one can experiment with the tools without fear of consequence. Where the book falls short is that most of the stuff in here is already covered pretty well already in Anthropic's docs, or even better so in their free "Skilljar" courses. What's more, some areas are given a bit of a shallow treatment, while others are a bit better done. So it's a bit inconsistent in that sense. Also, I can see how this book will quickly lose its currency in a few months at the pace things are going. Ultimately, for me, the price of this book was a bit rich for my liking given the criticisms above. Still, I feel like I got valuable info that rounded up what I already knew from working with this agentic framework. Recommended.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 28, 2026
B
Brahmananda Reddy
Louisville, US
★★★★★ 5
Practical AI Engineering Beyond Prompts — One of the Better Books on Agentic Coding
Format: Paperback
This book is not another “AI coding hype” book. A lot of books talk about agents at a very high level. This one actually explains how things work when you try to use them inside real development workflows. That was the biggest difference for me. What I liked most was the focus on context engineering, memory, MCP, hooks, subagents, and workflow orchestration instead of just “prompt better.” The author spends time explaining why long-running agent systems fail, how context grows over time, and why most AI coding setups become messy without structure. The examples also feel practical — The HookHub project, Next.js setup, GitHub workflows, Claude memory files, and MCP integrations make it easier to connect theory with actual implementation. From my retail domain experience perspective, I could immediately connect this to forecasting and pricing workflows. For example: * agents helping analysts generate specs before model development * automated code review for promo forecasting pipelines * isolated subagents for pricing, promotions, assortment * persistent memory for business rules across teams * MCP integrations to pull context from internal systems safely The section around context isolation and subagents especially stood out because that is very similar to how enterprise forecasting teams already operate in reality. Different teams own different decision spaces. One thing I appreciated: the author does not oversell AI. There is a strong focus on constraints, context pollution, hallucinations, performance degradation, and workflow reliability. That makes the book feel grounded instead of marketing-heavy. This is not for complete beginners though. If someone has never worked with Git, APIs, coding agents, or LLM workflows, parts of the book may feel overwhelming early on. The author clearly says this is not beginner-level content. Overall, probably one of the more practical books I have read recently on agentic coding systems. Good for: * software engineers * AI engineers * enterprise architecture teams * technical product teams * analytics leaders trying to operationalize AI development workflows Especially useful if your organization is trying to move from “AI demos” into actual production workflows.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 20, 2026
U
UA
Port Orchard, US
★★★★★ 5
A Good Reality Check on How AI Agents Actually Work in Enterprise Systems
Format: Paperback
Most AI books stop at prompts. This one goes deeper into how agent systems actually behave once you try to use them inside large workflows with memory, tools, permissions, automation, and multiple agents working together. That part felt very relevant for healthcare and enterprise environments. The book does a good job explaining why context engineering matters and how poor context handling creates hallucinations, inconsistent outputs, and degraded performance over time. Honestly, that is one of the biggest problems organizations underestimate right now. In healthcare workflows, context matters a lot: * prior interactions * business rules * auditability * escalation logic * safety constraints * tool permissions * workflow boundaries The sections on persistent memory, scoped context, subagents, and structured workflows connected strongly to that reality. I work in enterprise analytics, and while reading this book I kept thinking about use cases like: * pharmacy workflow automation * prior authorization support systems * coding assistants for healthcare engineering teams * AI copilots for operational analytics * agent-based escalation systems * claims and workflow orchestration The MCP chapters were also useful because they explain integration challenges clearly instead of treating tooling as magic. What made this book stand out for me was the balance between implementation and architecture. The author explains: * why long contexts fail * how context poisoning happens * why isolation matters * when parallel agents help * when they actually create more complexity That level of honesty is missing in many AI books right now. Another thing: the examples are not overly academic — The Next.js project setup, GitHub automation, Claude desktop workflows, memory systems, hooks, and subagents make the learning process feel practical and hands-on. One limitation: this book assumes technical background. Someone completely new to coding agents, LLMs, Git, or development workflows may struggle in the first few chapters. But for engineers, AI teams, enterprise architects, and technical leaders trying to understand where agentic coding is actually going, this book is worth reading. Especially for organizations trying to operationalize AI safely instead of just experimenting with chatbots.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 20, 2026

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