Beautiful Broken Promises
of Kimberly Lauren (Goodreads Author)
Series: Broken #3
Description
THIS IS A total STAND-ALONE NOVEL. No need to read the first two books in the series to enjoy this book. Lane Parker has suffered a terrible loss: a loss he canât get over, not even years later. Burdened by secrets he wonât tell his closest friends and focused on only one goal, he finally gets the phone call heâs been waiting for. Luck gives him a precious second chance to get back what was taken from himâand heâll use all his strength to make sure that the tragedy never happens again.Raegan Hayes is a spirited fighter and survivorâand sheâs furious at Lane, her former employer, after their paths cross at a police station and he accuses her of betrayal. Now, they both must move forward to get past the tragic incident that tore them apart long ago. But the more time Lane spends with the beautiful Raegan, the more he becomes drawn to herâŠand the more his passion overpowers his hostility. Can a new beginning transform their relationship from suspicion-filled to steamy?New Adult Contemporary Romance: strong language and sexual content. This novel is intended for those 18 years and older.
Gender
Main Characters
Book Details
- Format Other
- Pages 271 pages
- Publisher Not informed
- Publication Date May 27th 2014
- First Publication 05/26/14
- Language English
- ISBN 9780990427605
- Edition Not informed
- Category Romance
- Scenario []
Rate this work
đ Log in to evaluate this book.
Share your opinion with other readers. Your feedback is very important!
AI-Powered Recommendations
Based on your reading of "Beautiful Broken Promises", our dual AI algorithms suggest these titles. ⥠FAISS Baseline đ§ PyTorch Enhanced
Top Picks For You
đŻ Smart Selection
Ărase una vez el amor pero tuve que matarlo. Musica de Sex Pistols y Nirvana
by Efraim Medina Reyes
How do we choose these recommendations?
Similar Style Recommendations
Books with similar themes, authors, and writing styles to what you're reading now.
Smart AI Matches
Our advanced AI finds books you might love based on deeper patterns and reader preferences.
