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Description
discount code for maxi cosi Maxi-Cosi Peri 180 Rotating Infant Car SeatMake their world go round with Peri 180, a rotating infant car seat featuring FlexiSpin rotation technology. Peri makes getting your little one in and out of their car seat easier than ever and reduces back strain. It is also the lightest rotating infant car seat available at under eight pounds. It also features TensionFix , which solves the most common installation problem 7 out of 10 parents unknowingly haveloose vehicle belt tension. DETAILS THAT
Make their world go ‘round with Peri™ 180°, a rotating infant car seat featuring FlexiSpin rotation technology. Peri makes getting your little one in and out of their car seat easier than ever and reduces back strain. It is also the lightest rotating infant car seat available at under eight pounds. It also features TensionFix™ , which solves the most common installation problem 7 out of 10 parents unknowingly have––loose vehicle belt tension.
DETAILS THAT MATTER
- FlexiSpin provides 180° seat rotation, so getting babies in and out of their car seats is easy and helps reduce back strain.
- TensionFix™, Maxi-Cosi’s patent-pending red-to-green tension-sensitive indicator on the seat's base shows you when your belt has tension.
- At just under 8 lbs. (without canopy and inserts, which weigh approx. 1 lb.), Peri is the lightest rotating infant car seat available.
- The QuikFit 6-position harness means no need to rethread the harness as baby grows––headrest and harness can be easily adjusted at the same time with 1 hand.
- Features 5 recline positions help ensure a secure fit during installation.
- New canopy design zips out to extend for full-coverage sun protection and privacy, and easy-to-use magnets secure the canopy to the car seat.
- Shell designed with ClimaFlow™ technology for added ventilation.
- Features a load leg and anti-rebound bar for added stability.
- Convenient stay-in-car base and LATCH connectors for quick installation.
- Extra-plush padding on the removable infant head and lumbar inserts for a cozy, secure fit for tiny travelers.
- PureCosi™ fabrics are made without wool or added fire retardant treatment––better for your child and our planet.
- Visible belt paths for secure, on-the-go installation without a base (taxi-mode).
- Features a 1-hand release from base and stroller.
- Compatible with select Maxi-Cosi strollers for a complete travel system.
- Side Impact Protection (SIP).
KEY PRODUCT POINTS
- Suitable for rear-facing babies; 4 to 30 lbs. or up to 32".
- Compatible with the Tayla Max Modular Stroller (sold separately).
- Can be purchased and used with Vehicle Seat Protector and Back Seat Mirror (sold separately).
- Meets or exceeds all federal safety standards.
- Expires 8 years after manufacture date.
- Wipe clean frame.
- Machine washable fabrics.
- Imported.
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- Free Standard Shipping on $100+ Orders 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]
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4.3 ★★★★★
Based on 20 reviews
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Product Reviews
★★★★★ 5
Your Blueprint for Building Smarter AI!
Format: Paperback
If you're building AI and sometimes feel a bit lost, "LLM Design Patterns" by Ken Huang is like finding the secret map you've been searching for.
Ken Huang, who clearly knows his stuff (he's a renowned AI expert and works with big names like OWASP and NIST), writes in a way that just clicks, without getting bogged down in super-dense tech talk. The author even acknowledges using AI to make the language clearer for a smooth reading experience!
This book covers everything you need, from getting your data squeaky clean to making AI agents that can actually think and act autonomously. For me, the parts on Retrieval-Augmented Generation (RAG) and advanced ways to 'talk' to your AI (prompting) were particularly eye-opening and immediately useful for my projects.
Plus, it has handy code snippets that really help you grasp the ideas. While they're not ready for direct production copy-pasting, they illustrate the concepts perfectly for learning. It's not for absolute beginners – you'll want some basic Python and machine learning smarts to get the most out of it – but the effort is totally worth it. It even delves into making sure your AI is fair and unbiased, which was a real lightbulb moment for me.
This book is crammed with actionable advice; it's less about abstract theory and more about real-world solutions you can actually use. If you're serious about building impressive AI systems professionally, this is a must-read.
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Reviewed in the United States on August 7, 2025
★★★★★ 5
Great Resource when Integrating AI
Format: Kindle
This is a great resource when building systems that integrate with AI. It manages to cover the entire lifecycle and even tips for corporate environments!
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Reviewed in the United States on August 26, 2025
★★★★★ 4
Title: Really Good Book for Learning LLMs
Format: Paperback, Format: Paperback
I picked up this book after struggling with LLM implementation at work. Ken Huang explains things clearly without too much technical jargon.
The book covers everything from data preparation to building AI agents. I especially liked the chapters on RAG and prompting techniques - they helped me improve my current projects. The code examples actually work, which is nice.
Some parts are pretty advanced, so you need basic Python knowledge. I had to read a few chapters twice to fully get it. The fairness and bias detection section was eye-opening.
Good practical advice throughout. Not just theory - real solutions you can use. Worth the money if you're serious about LLM development.
Recommended for anyone building AI systems professionally.
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Reviewed in the United States on July 25, 2025
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity.
What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike.
Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
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Reviewed in the United States on July 2, 2025
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them.
Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!)
Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples).
Seems like the book was rushed, and the author has limited hands on experience (if any).
At least we know based on the amount of flaws that it was not written by an LLM
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Reviewed in the United States on December 31, 2025