SKU: 77635398550

Personalised Wooden Salt and Pepper Grinder with Base Set

$39.60 $44.00
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Ships within 48 hours · Estimated delivery Jul 12 - Jul 17

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Description

Personalised Wooden Salt and Pepper Grinder with Base SetDETAILS Gift the ultimate kitchen essential with our Personalised Wooden Salt & Pepper Grinder Set, perfect for culinary aficionados. Crafted from exquisite Oak wood, this traditional grinder adds sophistication to any table setting. An indispensable tool for every home chef. Ideal for various occasions like birthdays, housewarming, anniversaries, or Father's Day, Mother's Day or any celebration that warrants a touch of personalised elegance. This

DETAILS

• Gift the ultimate kitchen essential with our Personalised Wooden Salt & Pepper Grinder Set, perfect for culinary aficionados. Crafted from exquisite Oak wood, this traditional grinder adds sophistication to any table setting. An indispensable tool for every home chef.

• Ideal for various occasions like birthdays, housewarming, anniversaries, or Father's Day, Mother's Day or any celebration that warrants a touch of personalised elegance. This grinder set is a heartfelt gesture for anyone passionate about cooking. Its quality craftsmanship and personalised engraving elevate its charm, making it a cherished gift for loved ones.

• Enhance your cooking experience with this elegant and functional salt and pepper shaker set. A perfect blend of style and utility for every kitchen enthusiast.

• Corporate Branding and Promotions: Personalise these salt and pepper grinders with Base set with your clients' names, monograms, or company logo, turning them into memorable closing gifts or promotional items. They are ideal corporate gifts for business partners or clients, showcasing your brand with sophistication.

Key Features:
- Premium Wood Material: Crafted from natural oak with a ceramic rotor for durability and safety.
- Large Capacity: Features a generous 90 ml ( 3 oz ) capacity, minimising the need for frequent refills.
- Refillable Design: Easily refillable with no mess, ensuring a continuous supply of fresh spices.
- Adjustable Grinding Mechanism: Allows for customisable grind settings, from fine to coarse.
- Easy Differentiation: Markings on the wood and knob facilitate easy identification of salt and pepper.

 

SPECIFICATIONS

Dimensions:
Grinders: Diameter x Height: 5.5 x 22 cm ( 2.2" x 8.7" )
Wooden Base: Length x Width x Depth: 15.6 x 7.5 x 1.2 cm (6.1" x 3" x 0.5")

Capacity: 90 ml ( 3 oz )

Material: Natural Oak, Ceramic

Technique: Laser Engraved. Personalise any design with any name, date, available template design or custom logo, your own image.

Note: Due to the natural variations in wood, including colour, markings, knots, and rustic features, each engraved item may display lighter or darker areas. This uniqueness adds to the charm and character of each piece, making it truly one-of-a-kind.

HOW TO ORDER

1. Choose between single or double-sided engraving from the dropdown menu.
2. Decide on your preferred set with or without a wooden base.
3. Enter your chosen Artwork design (#) option and specific order based on our provided Design Template Options. Additional instructions can be included within parentheses.

Example:
Style #9
Pepper Grinder: Phoenix
Salt Grinder: Michael

▸ If you want to use your own logo, please attach/ send us your file once you finish . Please note to attach the highest resolution file as possible to avoid quality issues Not all files are scanned prior to manufacturing, if you're not sure, please send us an email after placing the order to confirm if the file is of an acceptable quality.

▸You can combine or pick any font, icon, style, etc between our provided designs, or choose not to include a date, title or icon for example. All artwork based on our available design is free of charge.

▸If you don't like any of our template and want to create your own bespoke artwork design, please feel free to contact us with any questions you may have, a small additional fee may apply.

DELIVERY TIME

Processing Time:

Upon placing an order, our dedicated team initiates the meticulous process of designing your artwork(s), collecting your item(s), crafting your personalised product(s), and carefully packaging it. The duration of production varies based on the chosen production process and the complexity involved. Please find below estimated turnaround times:

Item Type Processing Time* Rush Order
(25% Surcharge)*
Non-Personalised Items 1-2 business days -
Personalised Items 2-7 business days 1-2 business days
Signs & Hoops 3-10 business days 1-3 business days

 * The provided processing time does not include the duration required for customer artwork approval. Timely responses to artwork confirmation emails are crucial, as any delays in approval will extend the overall processing time.
Rush Order option is available during checkout.

Shipping Time:

We send out your order when all items are ready. The delivery time varies based on your chosen shipping options and location. After shipping, you'll get a confirmation email with a tracking number. If there are no scans in the first 24 hours, don't worry—sometimes the system takes a day or so to catch up.

Our carriers estimate delivery times:

Region/Country Standard Shipping* Express Shipping*
Australia 2-4 business days 1-3 business days
New Zealand 5-8 business days 2-5 business days
United States 6-9 business days 3-6 business days
Canada 6-9 business days 3-6 business days
United Kingdom 6-8 business days 4-6 business days
Europe 6-14+ business days 4-10+ business days
Middle East 6-12+ business days 4-8+ business days
Singapore 5-7 business days 3- 6 business days
Hong Kong 5-9 business days 3-6 business days
Rest of Asia 3-14 business days 1-5 business days 
Rest of the World 6-14+ business days 1-5 business days

* Please be advised that the provided delivery estimates are general approximations, and the actual delivery times may vary based on factors beyond our control. These factors include the load volumes of our shipping partners, deliveries to regional areas, and potential customs delays. While we make every effort to expedite the process, however we cannot accept responsibility for delays resulting from such circumstances.

* Additionally, delivery estimates are subject to change due to various variables.

* Express shipping specifically affects the speed of your order's delivery after we've processed it, relying on the efficiency of the postal service. It does not expedite the internal processing time needed to create your item, which is addressed by our Rush Order service option. Should you wish for a quicker processing time, a 25% fee on the order's value will be applied. This option is conveniently available during checkout.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. 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
SKU: 77635398550

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4.2 ★★★★★
Based on 92 reviews
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Product Reviews
W
Verified Purchase
WU.
Louisville, 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
Charlottesville, 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.
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Reviewed in the United States on May 20, 2026
C
Christopher West
Fort Morgan, US
★★★★★ 5
Great book! Practical and for developers that already use AI!
Format: Paperback
I purchased "Agentic Coding" by Claude Code due to my desire for an alternative to generic "Prompt Template" type resources related to AI-based development. This book accomplishes just that. As opposed to merely viewing Claude Code as a "magic box", the author has explained how to utilize it in conjunction with other actual development processes. The authors' emphasis on "context engineering" (i.e., structuring data/information; managing knowledge in a project; guiding an AI agent to produce consistent results vs. producing random/unknown results) represents the strongest component of the book. It should be noted that the book appears to be intended primarily for experienced developers with prior experience in software development and/or familiarity with AI-based development tools. Should you be familiar with Git, the command-line interface, and/or modern development processes, you may find this resource very helpful. Conversely, I did appreciate the fact that there were no novice-oriented descriptions provided throughout the book. The aspect of the book that I found most valuable, however, is the extremely pragmatic nature of the material contained within. The examples illustrated through developing/maintaining CLAUDE.md files; utilizing Claude Code in combination with GitHub Workflows; employing MCP Servers; and creating multi-agent or sub-agent workflows all seemed to reflect a clear focus on "real world usage" rather than theoretical constructs. In addition, each chapter builds upon previous chapters in such a manner as to provide a logical progression through which the reader can easily understand and ultimately implement the concepts learned. I also appreciated that the author included guidance on responsible utilization of the tool(s), as well as maintaining control over what changes are made by the agent. While numerous books regarding AI focus solely on what AI tools can accomplish, this book addresses both how to utilize these tools effectively in a real codebase, as well as responsibility and safety considerations. In summary, this is not a book for individuals completely inexperienced in either programming or generative AI. However, if you are currently experimenting with tools such as Claude, Cursor, GitHub Actions, or MCP, this is likely one of the more useful and practical books available on the subject. Recommended for software engineers seeking to transition from simply "prompting an AI" into establishing a repeatable/professional workflow process surrounding agentic coding.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 11, 2026
P
Paul Pollock
Port Orchard, US
★★★★★ 4
⭐⭐⭐⭐ (so far)
Format: Paperback
I'm maybe a third of the way through this and already rethinking how I talk to coding agents. The reframe from "prompt engineering" to "context engineering" sounds like semantics until Marco walks you through why context poisoning, context clash, the Goldilocks zone for system prompts. That chapter alone reorganized something in my head. I keep going back to the line about garbage in, garbage out being the real reason agentic systems underperform. The hands-on stuff lands well too. Building the HookHub project from scratch, wiring up Playwright MCP, watching Claude generate a CLAUDE.md file and then not automatically loading a memory file you just created — that moment where you expect magic and get silence instead? That's the kind of honest teaching I appreciate. It made the "why" behind memory hierarchies click.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 12, 2026

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