Price: $4.99
(as of Jul 13, 2024 14:51:02 UTC – Details)
A Hollywood star and a dog sitter find an unlikely happy ending in this heartwarming forced-proximity romance from award-winning author Susannah Nix.
Griffin Beach has it all: a smoking-hot bod, a house in the Hollywood Hills, and a starring film role that’s about to launch him into superstardom.
The only thing he needs now is a dog sitter…
The perfect solution appears in the form of Alice, a shy grad student who isn’t impressed by him but LOVES his dog. And hey, maybe Griffin can charm her into changing her mind about him.
Alice Carlisle has her reasons for being wary of the womanizing actor. But since she’s about to be jobless and homeless, she can’t afford to reject Griffin’s offer to house-sit. She’ll just have to avoid him during the short time they’ll be sharing an address.
Except Griffin isn’t so easy to ignore—especially when he’s making her laugh, cooking her late-night pancakes, or parading around in nothing but a towel. Attraction wasn’t supposed to be part of the arrangement, but the man behind that slick movie star smile is impossible to resist.
Can Alice let her guard down and learn to trust again? And can Griffin stop trying to please everyone else long enough to realize Alice is the best thing that ever happened to him?
ASIN : B07GC8FTSZ
Publisher : Haver Street Press (November 8, 2018)
Publication date : November 8, 2018
Language : English
File size : 1866 KB
Simultaneous device usage : Unlimited
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Enabled
Word Wise : Enabled
Sticky notes : On Kindle Scribe
Print length : 332 pages
Customers say
Customers find the romance cute, gorgeous, and suspenseful. They also describe the book as an enjoyable, well-written read with fresh moments. Customers find their characters likeable and engaging. They describe the writing style as witty, strong, and relatable. Opinions are mixed on the pacing, with some finding it good and others saying it drags a bit.
AI-generated from the text of customer reviews
