SKU: 85352188721
evenflo double stroller pivot

evenflo double stroller pivot Evenflo Pivot Xplore Stroller Wagon Second Seat

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Description

evenflo double stroller pivot Evenflo Pivot Xplore Stroller Wagon Second SeatFor those looking for a secure second seat to add to their Evenflo Pivot Xplore All Terrain Stroller Wagon, this additional seat is the perfect solution that keeps your little one closer to you at an elevated level while still leaving plenty of room for a second rider below. For a child up to 55 lb, this second seat provides more flexibility to your existing Pivot Xplore by offering a modular design that can be parent facing or forward facing and

For those looking for a secure second seat to add to their Evenflo® Pivot Xplore™ All- Terrain Stroller Wagon, this additional seat is the perfect solution that keeps your little one closer to you at an elevated level while still leaving plenty of room for a second rider below. For a child up to 55 lb, this second seat provides more flexibility to your existing Pivot Xplore by offering a modular design that can be parent-facing or forward-facing and allows your baby to recline. Whether you want to push or pull the Pivot Xplore, just flip the handle without even removing the second seat.

Built for convenience, comfort and safety, the second seat includes the necessary adapters, as well as a back-rider child tray with cup holder for an on-the-go snack station within reach. The two-position recline and adjustable footrest combined with an easy access in-seat child pocket means your child will be set for the ride ahead. Five-point harness with comfort covers, and a removable bumper bar because safety is a priority. And, the large canopy with UPF 50+ sun protection includes a mesh peek-a-boo panel for ventilation and quick checks. The Pivot Xplore Stroller Wagon Second Seat is safe, durable and rigorously tested to hold up against frequent use.

  • VERSATILE MODULAR SEAT: With two kids in tow, the versatile second seat fits perfectly on the Evenflo® Pivot Xplore™ All-Terrain Stroller Wagon. It accommodates a child up to 55 lb at a secure, elevated level closer to you while still leaving plenty of room for a second rider below. Push or pull the Pivot Xplore with a flip of the handle without removing the second seat.
  • PROTECTION WHEN YOU NEED IT: Large canopy with UPF 50+ sun protection, and a mesh peek-a-boo panel for ventilation and quick checks
  • MULTI-POSITION RECLINE: The two-position recline and adjustable footrest is comfortable for babies
  • SNACK & GO: The included back-rider child tray with cup holder provides a snack station for the rider below while the second seat is in place
  • STORAGE: An easy access in-seat child pocket means your child will be set for the ride ahead
  • SAFETY IS A PRIORITY: Five-position harness with comfort covers, and a removable bumper bar. It’s a safe, durable, and rigorously tested seat that will hold up against frequent use

Specifications:

  • Weight Capacity: Up to 55 lbs.
  • Product Weight: 34.7
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SKU: 85352188721

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4.3 ★★★★★
Based on 18 reviews
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Product Reviews
J
Jiewen Wang
Grantham, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 2, 2025
N
Nader
Draper, US
★★★★★ 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 31, 2025
N
noam barkay
Port Orchard, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 9, 2025
R
Ryan Meyer
Carnegie, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 10, 2025
V
Vineeth Sai
Port Orchard, US
★★★★★ 5
Great foundation read for security!
Format: Paperback
This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 27, 2025

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