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Leatt - Velocity 6.5 Cryztal GoggleLeatt Velocity 6. 5 Cryztal Goggle Bulletproof 170 WideVision permanent anti fog lens Easy clip in out lens change Cryztal lens Enhances colors, contrast and sharpens visuals. Roll Off ready for our WideVision 48mm system (optional) Removable Triple layer, dual density comfort face foam and anti sweat fleece backing Self draining open lower frame design allows dirt to fall from lens Out riggers with a 50mm anti slip coated strap Tapered custom shape
Leatt - Velocity 6.5 Cryztal Goggle
- Bulletproof 170° WideVision permanent anti-fog lens
- Easy clip-in/out lens change
- Cryztal lens
- Enhances colors, contrast and sharpens visuals.
- Roll-Off ready for our WideVision 48mm system (optional)
- Removable Triple-layer, dual-density comfort face foam and anti-sweat fleece backing
- Self-draining open lower frame design allows dirt to fall from lens
- Out-riggers with a 50mm anti-slip coated strap
- Tapered custom shape to even fit helmets with tighter eye ports
- OTG–Over-the-glasses fit
- Tear-Off ready with posts. Tear-off pack included
- Removable nose guard
- Bulletproof Lens impact tested to:
- ANSI Z87.1-2015
- Military Ballistic Impact Standard (MIL-DTL-43511D)
- Certified CE EN 1938 :2010
- Complies with PPE Regulation (EU) 2016/425
- Optional lenses available
- Plastic free packaging
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4.8 ★★★★★
Based on 1980 reviews
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Product Reviews
★★★★★ 5
Great book
Format: Paperback
Great book! It is helpful as I work towards my Masters of Science in Applied Artificial Intelligence
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 20, 2025
★★★★★ 5
Comprehensive Guide with Practical Insights
Format: Paperback
This is a solid book for understanding the art and science of working with LLMs and other generative AI models. I always struggled with getting the output I was looking for, and wasn't sure how best to "ask" the models for what I wanted. This book did a great job of laying out the strategies and practical guidance to craft the prompts. There were a lot of tips and tricks, but the overall understanding and framework around prompt engineering has been super useful.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
★★★★★ 5
A must read!
Format: Paperback
Hands down, the best book on prompt engineering and implementing LLMs. Really enjoyed Michael and James deep dive. Whether you're technical or not, this book is foundational to a deeper understanding in how to properly explore and implement LLMs.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
★★★★★ 4
Helpful for GPT/LangChain framework
Format: Paperback
I applaud the authors for putting forth a comprehensive introduction in a rapidly evolving space. I absorbed a lot, helpful as I was developing a prototype — using open source methods.
And that’s where I was disappointed. The LLM and examples are highly adapted to OpenAI’s GPT-x and the bulky LangChain framework, something not obvious until you dig in to the book. Sure, this may be where newbie demand was when the authors began writing. But as the open source models and OpenAI alternatives gain speed (e.g. Llama 3.1, Groq, etc.) this book may quickly need an updated and expanded version to stay relevant.
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Reviewed in the United States on August 7, 2024
★★★★★ 3
Good concepts, but uneven depth
Format: Paperback
Some helpful prompt frameworks, but parts felt repetitive and a few sections stayed too high-level for advanced users. Beginners will likely benefit more than experienced practitioners. If you’re new to prompt engineering it’s a decent starting point; if you’re already building structured prompts daily, it may feel light.
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Reviewed in the United States on January 17, 2026
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