Pain Optimization (Fragments of Tomorrow, #1)

What if pain could be engineered, optimized, and erased? In a future where emotions are regulated like code, Pain Optimization explores what happens when the system controls feeling-and one person refuses to stay silent.
Here, memory chambers hold every sorrow, every scar. Technology promises perfect calm, but what it really delivers is emptiness. And where there is emptiness, rebellion grows.
In the hush of engineered serenity, a rupture forms-one small crack in the algorithm that could unravel everything. It is raw. It is urgent. It is intimately human.
Step into a world where the greatest glitch is feeling. And ask yourself: what if everything you thought was gone-was the only thing keeping you alive?

About the Author
Saraa Shety a writes at the edge where technology and humanity collide. Her work does not seek polish—it seeks truth. With a style that is raw, unfiltered, and unafraid of imperfection, she pushes her words into places where vulnerability meets logic, where poetry collides with data, where memory and machine overlap.
Trained in the language of business analytics and shaped by a curiosity for the digital world, she brings the precision of a tech writer into the emotional chaos of human experience. The result is a voice that feels both futuristic and deeply intimate—narratives that do not dress themselves up as perfect, but instead expose the machinery of thought, the cracks in memory, and the quiet rebellion of feeling.
Her genre is not bound by tradition. It is a blend of diary and data, imagination and information, science and soul. She writes for readers who are tired of safe words and predictable stories, for those who want something that challenges the way they think about connection, technology, and what it means to be human.
Saraa Shety stands among the new generation of modern authors redefining literature—not by building walls between fiction and reality, but by erasing them. Her vision is to create stories that outlive trends, that whisper into the future, that make readers see both themselves and the systems around them with sharper clarity.