SKU: 84042043506

FLUIDITY FULL-COVERAGE FOUNDATION - F1.20

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Description

FLUIDITY FULL-COVERAGE FOUNDATION - F1.20Description Pro Tips Ingredients VALUE YOUR HUE Available in 60 shades Finally. A foundation throwing major shade. 60 to be exact. Shades to fit you. And you. And you. Because the shade struggle is real. Meet a long wearing, full coverage foundation that performs like a boss and is not caught in the middle or playing sides. But instead, values your hue (and your wallet). The shade game is officially over. Your face has finally found its place in the

  • Description
  • Pro Tips
  • Ingredients

VALUE YOUR HUE

Available in 60 shades
Finally. A foundation throwing major shade. 60 to be exact. Shades to fit you. And you. And you. Because the shade struggle is real. Meet a long-wearing, full-coverage foundation that performs like a boss and is not caught in the middle or playing sides. But instead, values your hue (and your wallet). The shade game is officially over. Your face has finally found its place in the world. Say hello to an all-in kind of foundation. All the soft matte coverage. All the time. For all our babes.

BENEFITS

  • 24-hour-long wear
  • Sweatproof, transfer-resistant, water-resistant
  • Free of oils, fragrance, and parabens
  • Great for all skin types (especially normal-to-oily skin)


SHADE NAMES
LEVEL 1: Light
F1.10 (NEUTRAL: fairest with neutral undertones)

F1.20 (NEUTRAL: fairest with slightly yellow undertones)

F1.30 (COOL: fairest with pink undertones)

F1.40 (WARM: fair with yellow undertones)

F1.50 (NEUTRAL: fair with neutral undertones)

F1.60 (NEUTRAL: fair with slightly pink undertones)

F1.70 (NEUTRAL: fair with slightly peach undertones)

F1.80 (WARM: light with yellow undertones)

F1.90 (OLIVE: light with neutral green undertones)

F1.100 (NEUTRAL: light with slightly pink undertones)

F1.110 (COOL: light with pink undertones)

F1.120 (NEUTRAL: light with neutral undertones)

LEVEL 2: Medium
F2.10 (COOL: light with slightly peach undertones)

F2.20 (NEUTRAL: light medium with neutral undertones)

F2.30 (WARM: light medium with golden undertones)

F2.40 (NEUTRAL: light medium with peach undertones)

F2.50 (OLIVE: light medium with yellow-green undertones)

F2.60 (NEUTRAL: medium with neutral undertones)

F2.70 (NEUTRAL: medium with slightly peach undertones)

F2.80 (WARM: medium with golden undertones)

F2.90 (WARM: medium with peach undertones)

F2.100 (WARM: medium with rich golden undertones)

F2.110 (NEUTRAL: medium with slightly golden undertones)

F2.120 (NEUTRAL: medium with slightly pink undertones)

LEVEL 3: Tan
F3.10 (WARM: medium with slightly peach undertones)

F3.20 (OLIVE: medium with golden-green undertones)

F3.30 (WARM: medium tan with rich golden undertones)

F3.40 (NEUTRAL: medium tan with peach undertones)

F3.50 (NEUTRAL: tan with neutral undertones)

F3.60 (WARM: tan with golden undertones)

F3.70 (NEUTRAL: tan with slightly golden undertones)

F3.80 (COOL: tan with slightly red undertones)

F3.90 (WARM: tan with peach undertones)

F3.100 (OLIVE: tan with rich golden-green undertones)

F3.110 (NEUTRAL: deep tan with slightly red undertones)

F3.120 (WARM: deep tan with rich red undertones)

LEVEL 4: Rich
F4.10 (WARM: deep tan with golden undertones)

F4.20 (WARM: deep tan with rich golden undertones)

F4.30 (WARM: deep tan with golden peach undertones)

F4.40 (NEUTRAL: rich with neutral undertones)

F4.50 (WARM: rich with golden red undertones)

F4.60 (COOL: rich with cool red undertones)

F4.70 (WARM: rich with slightly red undertones)

F4.80 (NEUTRAL: rich with golden undertones)

F4.90 (WARM: rich with deep peach undertones)

F4.100 (WARM: rich with warm red undertones)

F4.110 (OLIVE: rich with neutral green undertones)

F4.120 (COOL: rich with deep red undertones)

LEVEL 5: Deep
F5.10 (COOL: rich with cool peach undertones)

F5.20 (WARM: deep with neutral golden undertones)

F5.30 (WARM: deep with rich peach undertones)

F5.40 (WARM: deep with golden undertones)

F5.50 (WARM: deep with rich red undertones)

F5.60 (NEUTRAL: deep with neutral undertones)

F5.70 (WARM: deepest with peach red undertones)

F5.80 (NEUTRAL: deepest with slightly golden undertones)

F5.90 (OLIVE: deepest with rich green undertones)

F5.100 (NEUTRAL: deepest with slightly red undertones)

F5.110 (WARM: deepest with rich red undertones)

F5.120 (NEUTRAL: deepest with neutral undertones)

Net Wt. 30 mL / 1 fl. oz.

    HOW TO APPLY

    Fluidity Full-Coverage Foundation looks bomb when it’s applied to prepped skin, the right amount of product is used, and it’s blended using the tools that are best for your skin type and the coverage you want. To get a totally flawless look, follow the steps below.

    1. Begin by cleansing your face. If you have dry skin, be sure to exfoliate. Follow with a moisturizer that’s developed for your skin type and a beauty oil, if you use one.
    2. Apply a Foundation Primer that’s formulated for your skin type. If you have combination skin, try using Revitalizer Foundation Primer in dry areas and Equalizer Foundation Primer in spots that tend to get shiny.
    3. Start application with a small, pea-sized amount of foundation. A little goes a long way.
    4. Use a damp Complexion Blending Beauty Sponge (especially if you have dry skin) to apply foundation. Or use a M439 Deluxe Buffer Brush in spots where you want the most coverage.
    5. This formula can set quickly, so continue by applying it in sections.
    6. If your skin is oily, set the foundation with Filter Effect Finishing Powder. If you have normal or combination skin, apply powder only to areas that get shiny (skip this step completely if you have dry skin).
    7. Finish with Continuous Setting Mist.

    FOR A GLOWY FINISH

    Mix one drop of your fave liquid highlighter into a pea-sized amount of foundation and apply using the steps above to get an all-over luminous look.

    A FEW EXTRA TIPS

    • Everyone’s skin tone varies, so decide if you want to match your foundation to your face, neck, or décolletage.
    • When you’re looking for that perfect match, let the shade dry down completely before you decide if it’s the one.
    • Remember that the depth of your skin tone can vary based on the season and your exposure to the sun, so the shade you wear in the summer might be totes different from your winter hue.

    FIND YOUR SHADE SQUAD

    Ingredients: Cyclopentasiloxane, Water/Aqua/Eau, Isododecane, Methyl Methacrylate Crosspolymer, Butylene Glycol, Mica (CI 77019), Dimethicone, PEG-10 Dimethicone, PEG/PPG-18/18 Dimethicone, Acrylates/Dimethicone Copolymer, Butylene Glycol Cocoate, Silica Silylate, Phenyl Trimethicone, Dimethicone Crosspolymer, Polyglyceryl-3 Diisostearate, Disteardimonium Hectorite, 1,2-Hexane Diol, Polyglyceryl-6 Polyricinoleate, Tocopherol, Triethoxycaprylsilane, Magnesium Sulfate, Cyclohexasiloxane, Ethylhexylglycerin, Propylene Carbonate, Polyhydroxystearic Acid, Hydroxyacetophenone, Caprylhydroxamic Acid, Phenoxyethanol. +/- May Contain/Peut Contenir: Iron Oxides (CI 77491, CI 77492, CI 77499), Titanium Dioxide (CI 77891).

    Shipping Notes
    • Free Standard Shipping on $100+ Orders to the USA.
    • Except Preorder products are shipped in 48 hours.
    • Delivery to the USA:
    1. Standard Shipping : 3-10 business days
    • If time is of the essence, please consider selecting expedited delivery for faster service.
    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]
    • Please click here for more details>>> Return & Exchange Policy
    SKU: 84042043506

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    4.3 ★★★★★
    Based on 28 reviews
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    Product Reviews
    N
    noam barkay
    Waukegan, 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
    Birmingham, 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
    Boise, 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
    C
    Verified Purchase
    CL
    Los Angeles, US
    ★★★★★ 5
    Loved it
    Format: Paperback
    I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on November 14, 2025
    A
    Verified Purchase
    Amazon Customer
    Battle Creek, US
    ★★★★★ 5
    A Good Place to Start Learning AI
    Format: Paperback
    Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material. At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play. I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field. In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on September 2, 2024

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