SKU: 44236590175

T-GEL COLOR 067

Sale price$20.75 Regular price$23.05
Save 10%

Pay in installments of $5.76 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Sep 17 - Sep 22

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

T-GEL COLOR 067TS NAILS T GEL COLOR HEMA FREE, KLEUR EN OPBOUW IN N Breng jouw Natural Nail Treatments naar een professioneel niveau met TS NAILS T Gel Color. Inhoud: 15 gram WAAROM KIEZEN VOOR TS NAILS T GEL COLOR? T Gel Color combineert de eigenschappen van een Builder Gel en Gelpolish in n product. Hierdoor kun je de natuurlijke nagel verstevigen n direct voorzien van kleur, zonder extra Gelpolish lagen aan te brengen. De medium viscositeit en zelfegaliserende

TS NAILS T-GEL COLOR – HEMA FREE, KLEUR EN OPBOUW IN ÉÉN

Breng jouw Natural Nail Treatments naar een professioneel niveau met TS NAILS T-Gel Color.

Inhoud: 15 gram


✨ WAAROM KIEZEN VOOR TS NAILS T-GEL COLOR?

T-Gel Color combineert de eigenschappen van een Builder Gel en Gelpolish in één product.
Hierdoor kun je de natuurlijke nagel verstevigen én direct voorzien van kleur, zonder extra Gelpolish-lagen aan te brengen.

De medium viscositeit en zelfegaliserende formule zorgen voor optimale controle tijdens het werken.
Het product blijft mooi liggen waar je het plaatst, egaliseert strak uit en maakt het mogelijk om snel een perfecte bolling op te bouwen met minimaal vijlwerk.

Door de hoge pigmentatie is T-Gel Color iets flexibeler dan de klassieke T-Gel.
Hierdoor is het ideaal voor korte tot medium lengte natuurlijke nagels en snelle salonbehandelingen.

Daarnaast is T-Gel Color volledig HEMA-Free ontwikkeld voor professioneel gebruik.

Perfect voor nagelstylisten die snelheid, efficiëntie en een strak eindresultaat willen combineren.

!!!SPOILER!!!


💅 BELANGRIJKSTE VOORDELEN:

✔ Opbouw en kleur in één product

✔ Zelfegaliserend – minimaal tot geen vijlwerk nodig

✔ HEMA-Free

✔ Sterker dan Rubber Base systemen

✔ Ideaal voor Natural Nail Treatments (BIAB)

✔ Geschikt voor natuurlijke nagels en nabehandelingen

✔ Minder productlagen nodig

✔ Perfect voor snelle salonbehandelingen

✔ Professioneel ontwikkeld voor langdurige resultaten


🩵 ESSENTIËLE STAPPEN VOOR MAXIMALE HECHTING

Voor een langdurig resultaat zonder lifting is een correcte voorbereiding essentieel.

1️⃣ TS NAILS Cleanser – reinigt de natuurlijke nagel

2️⃣ TS NAILS Prep – verwijdert vocht en vet

3️⃣ TS NAILS pH Dehydrator - zorgt voor maximale grip van de bouwgel 

4️⃣ TS NAILS UltraBond – bevordert maximale hechting

5️⃣ TS NAILS T-Gel Clear – creëert de perfecte basislaag onder T-Gel Color

Belangrijk: De eerste laag die direct contact maakt met de natuurlijke nagel moet altijd 120 seconden ononderbroken worden uitgehard.

Lees de uitgebreide gebruiksaanwijzing en tips voor een langdurig, professioneel resultaat zonder lifting of beschadiging. Klik op deze link.

Ga hierna verder met het opbouwen van de nagel.


💅 NATURAL NAIL TREATMENT MET T-GEL COLOR

(na het volgen van de hechtingsstappen hierboven)

1️⃣ Breng een dunne eerste laag T-Gel Color aan en werk deze strak langs de nagelriem.

2️⃣ Hard deze eerste laag 120 seconden volledig uit.

3️⃣ Breng vervolgens een tweede laag T-Gel Color aan.

4️⃣ Bouw de gewenste bolling (apex) op met het product.

5️⃣ Laat het product mooi zelfegaliserend uitvloeien.

6️⃣ Hard ononderbroken 120 seconden volledig uit in een UV/LED-lamp.

7️⃣ Verwijder indien gewenst de plaklaag.

8️⃣ Werk de shape en afwerking bij waar nodig.

9️⃣ Werk af met TS NAILS Top No Wipe 2.0 voor maximale glans en bescherming.


⚠️ BELANGRIJK BIJ T-GEL COLOR

T-Gel Color kan tijdens het uitharden warmte ontwikkelen in de lamp.

Informeer jouw klant hierover voorafgaand aan de behandeling.

Om warmteontwikkeling te verminderen kun je het uithardingsproces geleidelijk opbouwen tijdens de eerste 30 seconden.

Bijvoorbeeld:
1 sec in, 1 sec uit, 2 sec in, 2 sec uit, 3 sec in, 3 sec uit enzovoorts tot ongeveer 30 seconden.

Hierdoor ervaart de klant doorgaans minder warmte en verloopt de uitharding comfortabeler.


💡 EXTRA VERSTEVIGING NODIG?

Voor klanten met langere nagels of wanneer extra stevigheid gewenst is, kan T-Gel Color perfect gecombineerd worden met hardere systemen zoals Builder Gel, Acrygel of Sculpt Jelly Gel.

Verstevig eerst de nagel met een hard product naar keuze, werk de shape af en breng vervolgens T-Gel Color aan voor de kleur en afwerking.

Zo combineer je:

✨ De stevigheid van een hard systeem

✨ Met de snelheid, efficiëntie en kleurdekking van T-Gel Color


🔹 KIES VOOR SNELHEID, KLEUR EN EEN STRAK RESULTAAT

TS NAILS T-Gel Color is de ideale keuze voor nagelstylisten die op zoek zijn naar een betrouwbaar BIAB-systeem waarbij opbouw en kleur worden gecombineerd in één product.

Ontdek de complete T-Gel Color collectie en ervaar zelf hoeveel tijd je kunt besparen tijdens jouw Natural Nail Treatments.

Werk sneller, creëer een perfecte apex en geniet van een prachtig gekleurde nagel zonder extra Gelpolish-stappen.

Let op: Dit product is niet afweekbaar en dient bewaard te worden tussen 0–25 °C.

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: 44236590175

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.8 ★★★★★
Based on 24 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
D
Verified Purchase
David Escobar
Louisville, US
★★★★★ 5
Good starting point. But can't find the code.
Format: Kindle
Reading chapter 3. It was so far so good, but can't find the code in the repo. "All the related code can be found in the repository under project/hooks-notification." And in the repo I see no project folder. Please help!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 3, 2026
W
Verified Purchase
WU.
Houston, US
★★★★★ 4
Good overview of the leading Agentic Framework. Will become outdated quickly.
Format: Paperback
3.5 Stars rounded up. Not a bad place to start if you need to get up to speed fast with Claude Code, understand its vast feature set, how it works under the hood, best practices, and the various agent primitives and how to get the most out of them. Agentic frameworks (Claude Code in particular) are quickly becoming table stakes for anyone working in tech, so it's best to start now. I appreciated the author's ability to flesh out areas where Anthropic's documentation is lacking in depth and nuance, and for some not already working with Claude in their own repos, the fact that he provides "toy" repos where one can experiment with the tools without fear of consequence. Where the book falls short is that most of the stuff in here is already covered pretty well already in Anthropic's docs, or even better so in their free "Skilljar" courses. What's more, some areas are given a bit of a shallow treatment, while others are a bit better done. So it's a bit inconsistent in that sense. Also, I can see how this book will quickly lose its currency in a few months at the pace things are going. Ultimately, for me, the price of this book was a bit rich for my liking given the criticisms above. Still, I feel like I got valuable info that rounded up what I already knew from working with this agentic framework. Recommended.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 28, 2026
B
Brahmananda Reddy
Birmingham, US
★★★★★ 5
Practical AI Engineering Beyond Prompts — One of the Better Books on Agentic Coding
Format: Paperback
This book is not another “AI coding hype” book. A lot of books talk about agents at a very high level. This one actually explains how things work when you try to use them inside real development workflows. That was the biggest difference for me. What I liked most was the focus on context engineering, memory, MCP, hooks, subagents, and workflow orchestration instead of just “prompt better.” The author spends time explaining why long-running agent systems fail, how context grows over time, and why most AI coding setups become messy without structure. The examples also feel practical — The HookHub project, Next.js setup, GitHub workflows, Claude memory files, and MCP integrations make it easier to connect theory with actual implementation. From my retail domain experience perspective, I could immediately connect this to forecasting and pricing workflows. For example: * agents helping analysts generate specs before model development * automated code review for promo forecasting pipelines * isolated subagents for pricing, promotions, assortment * persistent memory for business rules across teams * MCP integrations to pull context from internal systems safely The section around context isolation and subagents especially stood out because that is very similar to how enterprise forecasting teams already operate in reality. Different teams own different decision spaces. One thing I appreciated: the author does not oversell AI. There is a strong focus on constraints, context pollution, hallucinations, performance degradation, and workflow reliability. That makes the book feel grounded instead of marketing-heavy. This is not for complete beginners though. If someone has never worked with Git, APIs, coding agents, or LLM workflows, parts of the book may feel overwhelming early on. The author clearly says this is not beginner-level content. Overall, probably one of the more practical books I have read recently on agentic coding systems. Good for: * software engineers * AI engineers * enterprise architecture teams * technical product teams * analytics leaders trying to operationalize AI development workflows Especially useful if your organization is trying to move from “AI demos” into actual production workflows.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 20, 2026
U
UA
Lexington, US
★★★★★ 5
A Good Reality Check on How AI Agents Actually Work in Enterprise Systems
Format: Paperback
Most AI books stop at prompts. This one goes deeper into how agent systems actually behave once you try to use them inside large workflows with memory, tools, permissions, automation, and multiple agents working together. That part felt very relevant for healthcare and enterprise environments. The book does a good job explaining why context engineering matters and how poor context handling creates hallucinations, inconsistent outputs, and degraded performance over time. Honestly, that is one of the biggest problems organizations underestimate right now. In healthcare workflows, context matters a lot: * prior interactions * business rules * auditability * escalation logic * safety constraints * tool permissions * workflow boundaries The sections on persistent memory, scoped context, subagents, and structured workflows connected strongly to that reality. I work in enterprise analytics, and while reading this book I kept thinking about use cases like: * pharmacy workflow automation * prior authorization support systems * coding assistants for healthcare engineering teams * AI copilots for operational analytics * agent-based escalation systems * claims and workflow orchestration The MCP chapters were also useful because they explain integration challenges clearly instead of treating tooling as magic. What made this book stand out for me was the balance between implementation and architecture. The author explains: * why long contexts fail * how context poisoning happens * why isolation matters * when parallel agents help * when they actually create more complexity That level of honesty is missing in many AI books right now. Another thing: the examples are not overly academic — The Next.js project setup, GitHub automation, Claude desktop workflows, memory systems, hooks, and subagents make the learning process feel practical and hands-on. One limitation: this book assumes technical background. Someone completely new to coding agents, LLMs, Git, or development workflows may struggle in the first few chapters. But for engineers, AI teams, enterprise architects, and technical leaders trying to understand where agentic coding is actually going, this book is worth reading. Especially for organizations trying to operationalize AI safely instead of just experimenting with chatbots.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 20, 2026
C
Christopher West
Lake Worth, US
★★★★★ 5
Great book! Practical and for developers that already use AI!
Format: Paperback
I purchased "Agentic Coding" by Claude Code due to my desire for an alternative to generic "Prompt Template" type resources related to AI-based development. This book accomplishes just that. As opposed to merely viewing Claude Code as a "magic box", the author has explained how to utilize it in conjunction with other actual development processes. The authors' emphasis on "context engineering" (i.e., structuring data/information; managing knowledge in a project; guiding an AI agent to produce consistent results vs. producing random/unknown results) represents the strongest component of the book. It should be noted that the book appears to be intended primarily for experienced developers with prior experience in software development and/or familiarity with AI-based development tools. Should you be familiar with Git, the command-line interface, and/or modern development processes, you may find this resource very helpful. Conversely, I did appreciate the fact that there were no novice-oriented descriptions provided throughout the book. The aspect of the book that I found most valuable, however, is the extremely pragmatic nature of the material contained within. The examples illustrated through developing/maintaining CLAUDE.md files; utilizing Claude Code in combination with GitHub Workflows; employing MCP Servers; and creating multi-agent or sub-agent workflows all seemed to reflect a clear focus on "real world usage" rather than theoretical constructs. In addition, each chapter builds upon previous chapters in such a manner as to provide a logical progression through which the reader can easily understand and ultimately implement the concepts learned. I also appreciated that the author included guidance on responsible utilization of the tool(s), as well as maintaining control over what changes are made by the agent. While numerous books regarding AI focus solely on what AI tools can accomplish, this book addresses both how to utilize these tools effectively in a real codebase, as well as responsibility and safety considerations. In summary, this is not a book for individuals completely inexperienced in either programming or generative AI. However, if you are currently experimenting with tools such as Claude, Cursor, GitHub Actions, or MCP, this is likely one of the more useful and practical books available on the subject. Recommended for software engineers seeking to transition from simply "prompting an AI" into establishing a repeatable/professional workflow process surrounding agentic coding.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 11, 2026

recommand products