PRIOR TO FIRST USE

Each individual appliance is checked at the factory, but for safety’s sake, please check carefully after unpacking for damage during transport. Check for visible damage (e.g. cracks or scratches). If the appliance appears to have been damaged, contact the shop where you bought it, and do not use it until it has been checked by an authorised specialist.

Clean all parts that come in direct contact with food before using the appliance for the first time.

Fitting the blender shaft

Fit the blender shaft to the motor unit by inserting the spindle into the middle of the shaft, and into the socket on the motor unit. Carefully turn the shaft anticlockwise until the arrow on the outside is aligned with the closed padlock symbol (4) on the motor unit and you hear a slight click. To remove the shaft, turn it carefully clockwise until the arrow is aligned with the open padlock symbol (4) on the motor unit.

Blending in the jug

Attach the blender shaft to the motor unit as described under Fitting the blender shaft. Place the food items to be blended into the jug (7). Hold the jug firmly with one hand. Place the blender shaft into the jug until it touches the food items and switch on by pressing one of the speed selection switches (2) and holding it down. The blender will run as long as you hold the button down.

NB: We recommend the blender does not run for more than 1 minute at a time when blending or chopping. Allow the appliance to cool for a little while before continuing.

Tips

Wash fruit and vegetables thoroughly before blending them.

Peel fruits such as oranges, lemons, mandarins, mango, kiwi, melon and pineapple before blending.

Remove any pips, stones etc from fruit before blending.

Slice fruit and vegetables into small pieces before putting them into the jug.

Start at low speed (I) to avoid splashes in the open jug. Switch to high speed (II) if and when required.

CLEANING

Remove the plug from the socket before cleaning.

Allow the blender to cool before dismantling and/or cleaning.

Do not use scouring powder, steel wool or other aggressive cleaning materials, as they can scratch the surface of the appliance.

Use a damp cloth (warm water) and a little detergent if necessary. Wipe off with a dry cloth.

Wash removable parts in warm water with a little detergent added. Rinse all parts thoroughly and dry before replacing them.

Take great care when cleaning and handling the blades as they are very sharp.

Do not immerse the motor unit in water. Do not allow water to seep into it.

INFORMATION ON DISPOSAL OF THIS PRODUCT

Please note that this Adexi product is marked with this symbol:

This means that this product must not be disposed of together with ordinary household waste, as electrical and electronic waste must be disposed of separately.

In accordance with the WEEE directive, every member state must ensure correct collection, recovery, handling and recycling of electrical and electronic waste. Private households in the EU can take used equipment to special recycling stations free of charge. In some member states you can, in certain cases, return the used equipment to the retailer from whom you purchased it, if you are purchasing new equipment. Contact your retailer, distributor or the municipal authorities for further information on what you should do with electrical and electronic waste.

15

Page 15
Image 15
Melissa 746-086 manual Prior to First USE, Cleaning, Information on Disposal of this Product

746-086 specifications

Melissa 746-086 is an advanced artificial intelligence designed to streamline communication and improve user experience across various platforms. This model is part of a broader initiative to enhance digital interaction by providing users with a seamless and intuitive interface. The primary features of Melissa 746-086 include natural language processing, predictive analytics, and adaptive learning capabilities.

One of the standout characteristics of Melissa 746-086 is its ability to understand context and sentiments in user interactions. This enables the AI to respond appropriately to user queries, making conversations more fluid and engaging. The implementation of advanced natural language processing algorithms allows Melissa 746-086 to comprehend nuanced language and idiomatic expressions, which can often pose challenges for less sophisticated systems.

In addition to its conversational abilities, Melissa 746-086 utilizes predictive analytics to anticipate user needs. By analyzing past interactions and recognizing patterns, the AI can suggest relevant information or actions, thus enhancing efficiency and user satisfaction. This predictive capability is particularly beneficial in customer service settings, where quick and accurate responses can significantly improve user experience.

Another key aspect of Melissa 746-086 is its adaptive learning technology. This feature enables the AI to continuously improve its performance by learning from each interaction. As users engage with Melissa, it refines its understanding of user preferences and behaviors, which allows for increasingly personalized responses over time. This continuous learning process ensures that the AI remains relevant and effective, adapting to the evolving needs of its user base.

Melissa 746-086 is built on a robust technological framework that supports multi-platform integration. This flexibility allows businesses to implement the AI across various channels, including websites, mobile applications, and social media platforms. As a result, organizations can maintain consistent communication and enhance their overall digital presence.

Security is also a top priority for Melissa 746-086. The system is designed with strict data protection protocols to ensure user information is safeguarded against unauthorized access. This commitment to security not only builds user trust but also aligns with regulatory compliance standards in various regions.

In conclusion, Melissa 746-086 represents a significant advancement in AI-driven communication technologies. Its main features, including natural language processing, predictive analytics, and adaptive learning, coupled with robust security measures, position it as a valuable tool for enhancing user interaction across multiple platforms. As the digital landscape continues to evolve, AI models like Melissa 746-086 will play a crucial role in shaping the future of communication.