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The Kings Captive

The Kings Captive

Vera is an unloved Omega who is hated by her whole pack and blamed for her mother’s death. Her only source of joy and love is her kind loving boyfriend Alpha Derek , but Vera ’s life suddenly takes a nasty turn when She catches her beloved boyfriend in bed with her cruel step sister. Vera is devastated, but things seem to go from bad to worse when she is abruptly forced to be a sacrificial tribute to the Ruthless, cold and heartless Alpha King Sylvester Vera tries to escape but she quickly discovers something shocking, the evil Alpha king is her mate! And he is determined to have her. The biggest problem now, is that King Sylvester doesn’t even want her as his mate, he wants her as his baby making machine for him and his bitchy fiancée! Vera feels a burning hatred for him but she doesn’t realize just how quickly their hatred for each-other eventually turns into an unexpected love story. Unfortunately, Vera 's deadly hidden Identity is suddenly revealed, and she must escape to protect her hybrid twin children from backstabbers and traitors who want to kill them. But when a loved one is killed and the children are kidnapped, Vera and her mate must unite again to confront the deadly enemy that hide behind the mask.
1.7K viewsOngoingAdded to Library 33 Times as how does machine learning works
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Mated to a Human

Mated to a Human

Skylar Snow is part of the Akecheta Werewolf Clan. Left and right, one after the other, his clan mates are finding their mates while he was waiting for his. When he finally finds her, he's eager to make her his. Cheyenne Rozen is an ordinary girl. She works, she had a best friend isn't the type to go out often, not anymore. Not after she was kidnapped after her last outing. She hates being touched and is always wary of new people. What will happen when Skylar meets his mate but isn't able to touch her? How will she feel about a wonderful connection toward a stranger. What will happen when she finds out she's mated to a werewolf.
109.6K viewsCompletedAdded to Library 191 Times as how does machine learning works
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The Blessed Beta

The Blessed Beta

Alyse F. Yvonne
Charged with investigating the disappearance of pack members, Beta Tora is fixing to find more than he thought he would. But what happens when he walks into a situation even he doesn't know how to get out of. Many years of training to be the next best Beta of the Silver Shadow Pack NEVER prepared him for the obstacles he will face now. Estelle Fox, an omega wolf who works in the packhouse is content with her life. Never knowing the dangers that are lurking around her. What happens when a certain Beta stumbles into her life but isn't sure he wants her because of her pedigree? Will they be able to come together as the Moon Goddess deems it? Or will they be at odds when sides are chosen??
103.5K viewsOngoingAdded to Library 90 Times as how does machine learning works
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Caleb

Caleb

A leisure run in the forests leads Caleb, Alpha of the Duncan pack, to an unexpected find. Faced with a mate he had longed assumed non-existent, Caleb not only has to teach her how to live with her wolf, he also has to find those who caused her harm. He'll need his pack, her family and self control, to get through the coming challenges. Attacked, turned, and far from home, Cassandra Patrice wakes up to a strange woman, a man she finds herself incredibly drawn to, and a voice in her head. Learning of the existence of wolves is one thing, but realizing she has also become one may be too much for her fragile mind to digest. Will this fate be more than Cassandra can handle? Or will her mate be just the right person to help her through it?
916.6K viewsCompletedAdded to Library 449 Times as how does machine learning works
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Dear Diary... They Told Me I'm a Werewolf!

Dear Diary... They Told Me I'm a Werewolf!

Violet loses her parents as a young child and is brought up by an elderly aunt. As she approaches her 17th birthday her life is turned upside down when her Aunt tells her that the life she has built with her must end - she has to go to learn about the background of her father. Secrets have been kept and those secrets turn Violet’s life upside down! Not only does she have to accept that her father wasn’t what she thought he was, but she too, is something she didn’t even realise existed! It seems a whole plan was in place for if something happened to her parents, including learning of her background and all it means. So Violet is sent to Autumn Moon Pack where an elderly relative of her father’s still lives to give Violet chance to be surrounded by others like her. In truth, she plans to learn what she needs to and leave to live alone like her father before her. But will meeting the handsome Beta, who seems quite taken with her, change her mind?
1038.9K viewsCompletedAdded to Library 1.4K Times as how does machine learning works
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Tangled

Tangled

Lovette just wanted to spend a nice and stress-free school break at her childhood friend who happened to be a werewolf house. Little does she know she was going to get herself in a complicated situation. A love triangle. She has no idea how to untangle herself from this mess.
103.5K viewsCompletedAdded to Library 110 Times as how does machine learning works
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Friends with benefits

Friends with benefits

A romantic comedy whose main focus is Clara and Otávio. There are several characters, each with their importance. Clara goes to live in the Paradise condominium, at the invitation of her best friend, and there she meets Otávio, a young man who, in addition to being a millionaire, is different from anyone she has ever met. She is enchanted by him, but he never had a relationship and never wanted one. A young virgin, and rude who does not know how to relate, does not understand the feelings that encompass him. With many twists and turns, this book will sweep you from the first page to the last!
26.6K viewsCompletedAdded to Library 244 Times as how does machine learning works
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Her Tears

Her Tears

Scarlett is a responsible wife who does everything she can to achieve her dream of having a family with her husband, but it all comes crashing down because of one sin. A sin in which she caught her husband and sister having an affair. How far can she go?
1020.8K viewsCompletedAdded to Library 458 Times as how does machine learning works
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Stolen Lover

Stolen Lover

Sometimes we are just in love with the thought of falling in love. But how true is it that the best love stories happen to those who patiently wait? Allessandra Taylor believes that Chadrick Williams is her knight since age 6. But what will happen if that Knight is the cause of all her pain? Will she endure or let go? Her world crumbled. She was crushed into pieces. Does it mean she’s not good enough? He broke her heart and only he can mend it. How would she get over someone she thought was “the one”? And how will she move on if her Knight became another woman's Lover?
9.830.3K viewsCompletedAdded to Library 940 Times as how does machine learning works
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Stranger at Her Door

Stranger at Her Door

He knocked once. She opened the door. Nothing has been the same since. Maya has spent the last two years learning how to breathe again. After surviving a violent relationship that shattered her from the inside out, all she wants is silence. Safety. Control. But when a new tenant moves in next door, her carefully rebuilt life begins to unravel. Elias Graves is tall, quiet, and just out of prison. No past. No apologies. No promises. He doesn’t ask for anything. He just watches. And when Maya leaves her door unlocked one night, he walks in. What begins as a collision of need and heat quickly spirals into something darker, something Maya swore she would never want again. He gives her the pain she craves and the pleasure she hates herself for needing. But secrets live between their bodies, and some doors—once opened—won’t ever close again. This is not a love story. It’s a story about addiction. About survival. About surrendering to a man who might just ruin her… or finally teach her how to survive the fire.
581 viewsOngoingAdded to Library 15 Times as how does machine learning works
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