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Description
Light Grey - W123 Womens Jogger SetWink W123 Women's Jogger Scrub Set Complete Medical Uniform for Women A complete two piece uniform pairing the Wink W123 Stylised V Neck Scrub Top with the matching W123 Jogger Scrub Pant. Both pieces are cut from the same 100% microfibre polyester and sized from XXS through 5XL, so the set arrives as a coordinated outfit rather than two separates you've had to match yourself. What's Included in This Set 1 x Wink W123 Stylised V Neck Scrub Top (5
Wink W123 Women's Jogger Scrub Set - Complete Medical Uniform for Women
A complete two-piece uniform pairing the Wink W123 Stylised V-Neck Scrub Top with the matching W123 Jogger Scrub Pant. Both pieces are cut from the same 100% microfibre polyester and sized from XXS through 5XL, so the set arrives as a coordinated outfit rather than two separates you've had to match yourself.
What's Included in This Set
- 1 x Wink W123 Stylised V-Neck Scrub Top (5 pockets)
- 1 x Wink W123 Jogger Scrub Pant (8 pockets)
- Available in sizes XXS through 5XL
Key Features of the Scrub Top
Advanced Pocket System - 5 Pockets Total:
- Two spacious front pockets for the larger items you reach for often
- Two convenient utility pockets for smaller items
- Hidden compartments within the main pockets for anything you'd rather keep out of sight
- Room for stethoscopes, pens, medical tools, and personal items
Professional Design Elements:
- Stylised V-neck with strategic seaming through the body for added shape
- Silicone D-ring attachment for badge holders and accessories
- Discreet shoulder badge loop for ID display
- Reflective tape detail at back of neck for added visibility
Superior Comfort & Fit:
- Available in Modern Fit and "True-Plus" fit (a dedicated plus-size pattern rather than a graded-up standard)
- 4-way stretch microfibre polyester that moves with you
- Pull-on convenience - no buttons or snaps
- 4-inch side seam vents at the hem so nothing pulls when you bend or reach
- V-neck collar provides comfortable, professional coverage
Key Features of the Jogger Pant
Professional Cargo Design - 8 Pockets Total:
- Two front slant pockets for easy access
- Stylised cargo pockets with a dedicated mobile phone holder on the left side
- Utility loop above the left front pocket for clipping things to
- Decorative back pockets with a pen slot on the right
- Multiple accessory loops for organisation throughout the shift
Fit & Construction:
- Straight-leg cargo silhouette with a contemporary cut
- Mid-rise waistband for comfortable coverage
- Full elastic waist with internal webbed drawstring for adjustable fit
- Vented bottom hems for breathability and a bit of extra movement
Size Options - Australian Medical Scrubs:
- Regular inseam: 31 inches (79cm)
- Petite inseam: 28½ inches (72cm)
- Tall inseam: 33 inches (84cm)
Fabric Technology & Durability
100% Microfibre Polyester Benefits:
- Pet hair resistant surface - a quiet favourite among veterinary nurses and anyone heading home to a dog at the end of a shift
- 4-way stretch technology for all-day comfort
- Colour-retention technology that holds its tone through frequent washing
- Wrinkle-resistant fabric that reduces ironing
- Lightweight yet durable construction
- Identical fabric run across both pieces, so the colour and finish stay consistent across the uniform
Easy Care Medical Scrubs
Simple Care Instructions:
- Machine wash cold with similar colours on a gentle cycle
- Tumble dry on low heat
- Remove promptly from the dryer to keep wrinkles at bay
- Cool iron if needed
- Avoid bleach and harsh chemicals for longevity
Why a Coordinated Set?
Buying the top and pant together means the fabric, colour, and finish are matched from the start. Both pieces share the same 4-way stretch microfibre polyester, so they wash and wear at the same rate. Whether you're on a hospital ward, in a clinic, in private practice, or moving between sites, the W123 set keeps the uniform consistent.
Perfect for:
Registered Nurses (RN), Enrolled Nurses (EN), Licensed Practical Nurses (LPN), Doctors, Medical Assistants, Dental Assistants, Veterinary Professionals, Aged Care Workers, Healthcare Students, Hospital Support Staff
Professional Recommendation: The W123 set is offered in a range of colours across the Smilewear range. Worth keeping in mind if you're building out a full week's rotation.
Fast Delivery: Dispatched within 48 hours for quick delivery to healthcare professionals across Australia.
CODE: 5155
CODE: 6155
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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]
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4.8 ★★★★★
Based on 11 reviews
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Product Reviews
★★★★★ 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.
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Reviewed in the United States on February 17, 2026
★★★★★ 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!
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Reviewed in the United States on April 3, 2026
★★★★★ 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.
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Reviewed in the United States on May 28, 2026
★★★★★ 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.
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Reviewed in the United States on May 20, 2026
★★★★★ 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
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