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How to Make a King (Even If You’re Really Not Into It)

How to Make a King (Even If You’re Really Not Into It)

Ember never meant to make a king. She was just trying to survive her heat without embarrassing herself in front of the massive, infuriatingly calm wolf living in the loft next door. Ember has spent most of her life keeping people at a distance. She’s stubborn, private, and perfectly happy suffering through things alone—including the inconvenient attraction she’s been pretending not to feel toward Ghost. Ghost notices everything. He notices when Ember skips meals. When she hasn’t slept. When she’s pretending she doesn’t need help. Calm, steady, and impossible to shake, he’s the kind of man who doesn’t push—but also doesn’t leave. Which becomes a problem when a violent storm destroys half of Ember’s apartment and Ghost is the one who drags her out of the wreckage. Suddenly the fiercely independent she-wolf who hates relying on anyone is stuck living next door to the one man she’s been trying not to want. Then Ember’s heat hits. What starts as proximity and stubborn attraction turns into something neither of them expected when their bond snaps fully into place—awakening a long-buried bloodline Ember never knew she carried. For generations, wolves like her were known as Kingmakers—rare mates capable of exposing corruption and keeping pack leadership honest. Twenty years ago, someone tried to wipe them out. Now Ember’s power has awakened. And the quiet city she and Ghost call home—long governed by careful politics instead of true pack leadership—is about to change. Because Ghost never wanted to be an Alpha. But Ember’s bloodline has a habit of exposing exactly the kind of wolf who should be. And Ember might have just made a king.
255 viewsOngoingAdded to Library 8 Times as how does machine learning works
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The Night Before His Wedding, My Ex Found Out How I Really Died

The Night Before His Wedding, My Ex Found Out How I Really Died

At our high school reunion, my ex announced he was getting married. In the middle of the congratulations, someone piped up. “Hey, where’s Wren tonight? She didn’t show?” The whole room cracked up. “Wren? Probably still earning her keep in some rich guy’s bed.” “She dumped James for money, and now look at him. He’s the wealthiest guy in New York. Bet she’s kicking herself.” Someone snickered. “I heard the guy’s some fat old man. God, how does she even stomach it.” I broke up with James Thorne the year he loved me the most, and walked straight into the arms of another man, a man with money. Now he had a new girlfriend, he’d taken over Thorne Capital, and he was one of New York’s most talked-about young executives. He’d organized this reunion because he couldn’t wait to show off how good his life had turned out. “Enough. Drop it.” In the middle of the laughter, James spoke up. “I have a better life now. Whether Wren is dead or alive has nothing to do with me anymore.” “What if she really were dead?” The room went silent.
1.3K viewsCompletedAdded to Library 44 Times as how does machine learning works
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Love Fades Like Fireworks

Love Fades Like Fireworks

On our fourth wedding anniversary, I waited at home in vain. Ethan set off fireworks across the entire city for his first love. I was burned by the sparks and ended up in the hospital. Seeing my blackened wounds, he shielded his first love from the doorway and said coldly, "Don't look. It's disgusting." After returning home, I found lace lingerie in the washing machine on the balcony. I calmly took it out, folded it, and placed it on the living room table. Closing the lid, I booked a flight to London.
3.4K viewsCompletedAdded to Library 75 Times as how does machine learning works
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He Doesn’t Love Me

He Doesn’t Love Me

My billionaire husband suffered from chronic insomnia for years. Only the sleep balm I made could help him sleep. On the night of our seventh wedding anniversary, his childhood sweetheart poured a basin of scalding water over the old camphor tree in our garden. I wept and tried to save the tree as she apologized, “I didn’t know you used its leaves to make the sleep balm.” My husband gently comforted her and ordered his men to tie me to the tree trunk instead. “What a precious tree. You’ll spend the rest of your days with it!” With my wrist fractured as a result, I filed for divorce immediately. A month later, my husband was unable to sleep late one night. He stood in the garden and stared at the withered camphor tree.
3.0K viewsCompletedAdded to Library 116 Times as how does machine learning works
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Fireworks In My Heart

Fireworks In My Heart

A striking romance between Edward Knight and Liana Brown. Both the complete opposites of each other. While she has a sweet nature, always trying to be helpful and not hurt anyone on the other hand, for him, only hurting and torturing people gives his restless mind a bit of satisfaction and peace. What happens when this very same person gets obsessed with the girl.. He doesn't know if it's his love or a mere attraction or his addiction.. He wants her, and he swears by to get her. Will he be able to make himself her destiny? Will he be able to make her fall in love with him? Or will he just always manipulate her and keep her in the darkness? What will happen if she runs away from him? Is his obsession gonna protect her or just hurt her more?? .... Find out!!!!!
2.6K viewsOngoingAdded to Library 54 Times as how does machine learning works
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He Doesn't Have Her

He Doesn't Have Her

joanespinosa
Melannie couldn't remember the last time she felt something. While Ace remembers every sting and ache. Both of their chaotic worlds collide and through every moment they share, one starts to feel and the other starts to heal. The only thing standing in between is that it's a cycle of pain, and no one knows how to get out.
104.1K viewsOngoingAdded to Library 81 Times as how does machine learning works
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Our Love Blew up Like Fireworks

Our Love Blew up Like Fireworks

After our company loses the eight-million-dollar deal, my girlfriend, Lindsey Corwell, gets mad at me for the first time ever. She goes as far as to heavily insult me in front of everyone in the company. Once we get home at night, she retains her professionalism. "There's no such thing as a romantic relationship between us when it comes to work. The fact that you screwed up still stands. This is your fault." Meanwhile, Lindsey's junior, Gerald Whitaker, sends me an apologetic text. "This is all my fault, Julian. I'm the one who screwed up the deal. Lindsey bought me a cupcake to comfort me. It's pretty delicious. Let me buy you a cupcake as well." The next morning, Lindsey chucks the breakfast I've made for her into the trash can without hesitation. "I told you many times that I don't eat breakfast!" At work, my colleague, Joshua Miller, suddenly approaches me and begins sharing gossip with me. "The newbie really is fearless, eh? He actually had the guts to start a conversation with Ms. Corwell and even bought her breakfast! Guess what happened after that? Not only did she eat it, but she also claimed that it was tasty!" Oh, so that's how it goes, huh? Whatever. Anyway, the woman who keeps texting me is still trying to get me to switch lovers. "If worse comes to worst, I don't mind being a side chick! C'mon, give me a try!" I purse my lips in return. "It's fine. You shall be my official girlfriend now."
183 viewsCompletedAdded to Library 6 Times as how does machine learning works
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Faded Fireworks and Love

Faded Fireworks and Love

On the night of my fifth wedding anniversary with Sebastian Gray, he lit up the entire city with fireworks for me. All our friends kept saying what a wonderful man he was—so loving, so romantic. The kind of husband every woman dreams of. At the grand finale, the fireworks burst into words that lit up the night sky: Happy Birthday, Jen. Jennifer Kingsley was Sebastian's first love, his ideal woman, the one who had always lingered in his heart. Sebastian looked at me, his expression almost sheepish. "Ah, it's Jen's birthday too. They must have mixed up the fireworks." That night, Jennifer posted on her social media: "Men are boys till the day they die, always fumbling their way through romance." She added a picture of the fireworks, along with a photo of her and Sebastian standing close under the dazzling display. I liked her post and left a comment: "From school to altar—what a touching love story. When's the wedding?"
1.9K viewsCompletedAdded to Library 66 Times as how does machine learning works
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A Mate to Howl For

A Mate to Howl For

In a world of ancient magic, Cullen Steiner, Alpha of the Good Ole Boys Pack, must prepare the Weres for the coming war. Along with his friend, Colin Andrews, an ancient vampire, he must solve the mystery of the supernatural past before the war spills over into the human world and the Weres become exsposed, all the while learning about his soul and its mate.
104.2K viewsOngoingAdded to Library 166 Times as how does machine learning works
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What Love doesn't know

What Love doesn't know

In a small town, Mia, a rebellious young werewolf, finds herself trapped in a dead-end job and a life she never wanted. Running away from her pack and an arranged mating, she crosses paths with Asher, a wealthy and wounded billionaire. Despite their rocky start, Asher becomes captivated by Mia's fierce spirit and the unspoken connection between them. As the world conspires to keep them apart, Mia's past comes knocking at the door, threatening to expose her secrets. In a desperate bid to protect Asher, Mia makes a heart-wrenching decision, fleeing the city and leaving him behind. Haunted by his love for Mia, Asher embarks on a relentless search, uncovering clues and enlisting help along the way. But danger lurks in the shadows. Can Mia and Asher rewrite their destinies and forge a path to happiness, or will they succumb to the forces that threaten to tear them apart forever?
9.55.6K viewsCompletedAdded to Library 112 Times as how does machine learning works
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