Personalised Girl Gang Smart Earbuds
SKU: 6395126249

Personalised Girl Gang Smart Earbuds

Sale price$40.50 Regular price$45.00
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  • USA
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Ships within 48 hours · Estimated delivery Jul 6 - Jul 11

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Description

Personalised Girl Gang Smart EarbudsYou can personalise your Earbuds with your initials, your name or choose something random, the choice is yours. Compatible with IOS and Android devices with the capability of pairing up to all Bluetooth playback devices, including Apple, Samsung and all other major brands. Boasting a high stereo sound quality and long lasting battery life. Compatibility: iOS Android devices Bluetooth: 5. 0 Bluetooth: 10metre range Fingerprint one touch control Siri

You can personalise your Earbuds with your initials, your name or choose something random, the choice is yours.

Compatible with IOS and Android devices with the capability of pairing up to all Bluetooth playback devices, including Apple, Samsung and all other major brands. Boasting a high stereo sound quality and long-lasting battery life.

  • Compatibility: iOS / Android devices
  • Bluetooth: 5.0
  • Bluetooth: 10metre range
  • Fingerprint one-touch control
  • Siri/virtual assistant voice support
  • Charge time: 45min
  • Playback: 8 hours
  • Standby: 110 hours
  • Package includes Earbuds, Case and USB cable x 1

    DELIVERY & RETURNS

    UK

    • Please allow 5-7 working days for your personalised item to be uniquely made and delivered to you.

      United States

      • Please allow 5-10 working days for your personalised item to be uniquely made and delivered to you.

      Australia

      • Please allow 5-10 working days for your personalised item to be uniquely made and delivered to you.

      Europe

      • Europe & Ireland (5-7 working days)

      Rest of the world

      • Rest of the World (5-10 working days)

      When your order is ready we will send you a dispatch notification via email.

      PLEASE NOTE: Please ensure that all personalisation details entered are correct at the time of purchase as each item is uniquely personalised to your specification and so cannot be exchanged or refunded at a later date.

      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: 6395126249

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      ★★★★★ 1
      Nothing new
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      There nothing new in this book you will defiantly find this content in any leadership book
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      Reviewed in the United States on November 16, 2019
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      If you're a developer eager to move beyond LLM experimentation and build robust, context-aware AI applications, this book offers both inspiration and practical guidance. The authors open with a clear passion for the transformative potential of large language models (LLMs) and LangChain, framing these technologies as not just enhancements to the developer’s toolkit, but as gateways to new kinds of “thing-building” superpowers. This sense of possibility is grounded in step-by-step instruction, making the book approachable for those with Python or JavaScript backgrounds who may be new to the world of production-grade AI agents. What stands out is the book’s careful scaffolding: starting with foundational concepts like prompt-based programming and progressing to advanced capabilities such as retrieval-augmented generation, agent planning, and tool integration. Each stage is contextualized with real-world use cases, like customizing chatbots to interact with your own documents, personalizing user experiences through memory, and deploying to production with reliability and security in mind. The focus on chain-of-thought reasoning and LangGraph’s agent architecture demonstrates the authors’ awareness of the current state of AI, where context and planning are just as important as raw language ability.
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      Reviewed in the United States on July 17, 2025

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