skater dresses Waverly Black Racer-Neck Sleeveless Skater Mini Dress – Club L London
SKU: 19946047378
skater dresses

skater dresses Waverly Black Racer-Neck Sleeveless Skater Mini Dress – Club L London

$26.15 $29.06
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Size: 4
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Description

skater dresses Waverly Black Racer-Neck Sleeveless Skater Mini Dress – Club L LondonNamed Waverly after its flouncy skater skirt, this black mini is on everyones wish list this season. Boasting a self tie racer neckline and sultry open back, Waverly is the epitome of a new season silhouette. Compliment this LBD with some strappy stilettos and gold accents during your next getaway. Features Premium stretch scuba crepe Racer neckline Self tie collar Open back Invisible zip closure Skater skirt Volume hem Mini length Sizing & Fit Model

Named Waverly after its flouncy skater skirt, this black mini is on everyones wish-list this season. Boasting a self-tie racer neckline and sultry open-back, Waverly is the epitome of a new season silhouette. Compliment this LBD with some strappy stilettos and gold accents during your next getaway.

Features
- Premium stretch scuba crepe
- Racer neckline
- Self-tie collar
- Open back
- Invisible zip closure
- Skater skirt
- Volume hem
- Mini length

Sizing & Fit
Model is 5'7" and wears UK size 8 / US size 4

Product Information
Designed exclusively by Club L London
Lined with good stretch
Premium scuba crepe in Black (95% Polyester, 5% Elastane)
85cm total length
SKU: CL131058002

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SKU: 19946047378

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B. Black
Birmingham, US
★★★★★ 3
Already outdated
Format: Paperback
Concepts are sound but the code in this book is already obsolete
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 5, 2025
J
Joe Faith
Birmingham, US
★★★★★ 5
Unlocking Practical AI: A Developer’s Guide to Building with LLMs and LangChain
Format: Paperback
If you're a developer eager to move beyond LLM experimentation and build robust, context-aware AI applications, this book offers both inspiration and practical guidance. The authors open with a clear passion for the transformative potential of large language models (LLMs) and LangChain, framing these technologies as not just enhancements to the developer’s toolkit, but as gateways to new kinds of “thing-building” superpowers. This sense of possibility is grounded in step-by-step instruction, making the book approachable for those with Python or JavaScript backgrounds who may be new to the world of production-grade AI agents. What stands out is the book’s careful scaffolding: starting with foundational concepts like prompt-based programming and progressing to advanced capabilities such as retrieval-augmented generation, agent planning, and tool integration. Each stage is contextualized with real-world use cases, like customizing chatbots to interact with your own documents, personalizing user experiences through memory, and deploying to production with reliability and security in mind. The focus on chain-of-thought reasoning and LangGraph’s agent architecture demonstrates the authors’ awareness of the current state of AI, where context and planning are just as important as raw language ability.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 17, 2025
T
Tom C Taulli
San Leandro, US
★★★★★ 5
Excellent Handbook
Format: Paperback
What got my interest in this book is the author. He's well-known as a leader in the LangChain world. And his book did not disappoint. It goes through the whole life cycle of development and there is a lot useful insights. If you are looking to build real-world genAI/agentic apps, then this book is certainly a great choice.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 11, 2025
L
Lydia O
Pawtucket, US
★★★★★ 5
Useful resource!
Format: Paperback
I found this book well written and extremely useful for getting comfortable with LLMs for building AI apps in production and other agent driven applications.
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Reviewed in the United States on April 10, 2025
J
Jacob Lee
Fort Morgan, US
★★★★★ 5
Fantastic!
Format: Paperback
A great primer on getting started with LangChain concepts!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 10, 2025

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