LOVE ALGORITHM

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Summary

Evelyn Park believes everything — even love — can be explained through data. Liam Torres believes love makes no sense at all. When her revolutionary app accidentally pairs them with a 99.8% match, logic meets chaos, and sparks rewrite the system. As her AI begins to “feel” emotions of its own, Evelyn must decide whether to shut it down—or follow her heart into the unpredictable code of connection. A romantic comedy about science, soulmates, and surrendering control in the age of algorithms.

Status
Complete
Chapters
6
Rating
n/a
Age Rating
16+

Chapter 1 – The Mismatch

Evelyn Park believed in data the way poets believed in destiny.

She trusted charts over chance, algorithms over attraction, and regression analysis over romantic chemistry.

At twenty-nine, she had built her career—and her peace of mind—on one solid principle: numbers don’t lie.

Which was why she almost threw her laptop out the window when her own dating algorithm betrayed her.

Error: Match score 99.8% — incompatible baseline behavior detected.

She blinked. Once. Twice. The notification refused to vanish.

Her program—TrueSync, an app designed to predict romantic compatibility using behavioral and biometric data—had just produced an impossible result.

“99.8%?” she muttered, frowning at the glowing code. “That’s higher than statistically plausible. There must be contamination in the dataset.”

She typed faster, pulling up the subject profile:

Name: Liam Torres

Age: 31

Occupation: Music producer

Keywords: chaotic, optimistic, emotionally volatile, dog person.

Evelyn’s jaw dropped.

Dog person.

Unacceptable.

She, a lifelong cat enthusiast, had written a subroutine that automatically deducted 20 compatibility points for canine owners. It was one of her proudest lines of code.

And yet here he was—her perfect match.

A man whose idea of data was probably counting guitar strings.


That night, her best friend and co-founder, Nora Kim, leaned over Evelyn’s shoulder, sipping iced coffee like a scientist examining a specimen.

“So… you’re matched with a guy who breaks your own rules. That’s poetic.”

“That’s broken,” Evelyn corrected. “My model was trained on 30,000 user profiles. It’s impossible that someone like him could—”

“Make your heart crash like your CPU?”

Evelyn shot her a glare. “Funny. I’ll debug it tomorrow.”

But the next morning, Liam Torres emailed her directly.

Subject: Hello, Number Cruncher 💫

“Hey, apparently your app thinks we’re soulmates. I don’t usually trust algorithms, but 99.8% is a bold claim.

So, scientist lady—care to prove it wrong? Coffee?

– Liam”

Nora nearly choked laughing.

“You have to go.”

“I do not.”

“Evelyn,” Nora said, deadly serious, “you can’t build an app that finds soulmates and then ghost your own match. That’s… unethical.”

Evelyn groaned, pinching her nose. “Fine. One meeting. For research.”

Nora grinned. “For science!”

“For science,” Evelyn echoed grimly.


The café was too loud, too colorful, too full of things that didn’t fit into graphs.

Evelyn sat with her back straight, laptop open, already regretting every life choice that led here.

At exactly 3:02 p.m., the door swung open, and chaos entered in human form.

Liam Torres.

Leather jacket, messy curls, a grin that looked like trouble wrapped in sunlight. He had earbuds hanging from his neck and a sketchbook under his arm.

“You must be Evelyn,” he said, dropping into the seat across from her. “You look exactly how I imagined—a walking spreadsheet.”

She blinked. “You’re late.”

“Only by two minutes.”

“Two minutes is an eternity in data processing.”

He laughed—a sound so bright it made the barista glance over. “You’re exactly like your email tone. Sharp, intimidating, slightly adorable.”

“Excuse me?”

“Compliment. Kind of.” He leaned forward, elbows on the table. “So, tell me, Dr. Data—how does your app decide who’s meant for who?”

Evelyn adjusted her glasses, launching into professional mode. “Behavioral modeling. Neural network trained on relational outcomes. We analyze conversation frequency, heart rate variability, spending habits—”

“Spending habits?”

“People who invest in experiences rather than objects tend to sustain longer relationships.”

“So you’re saying, if I buy concert tickets instead of a new phone, I’ll find love?”

“In theory.”

“In theory,” he echoed, smiling. “But love’s never theoretical.”

She crossed her arms. “It’s predictable. Patterns exist.”

“Then explain why my dog only likes women who ignore him.”

“That’s attachment projection.”

He laughed again, and she hated that she liked the sound.


The conversation spiraled like a duet—logic and laughter, analysis and improvisation.

For every statistic Evelyn quoted, Liam countered with a story.

She mentioned dopamine spikes during initial romantic attraction; he said, “Exactly. That’s why I wrote my first song at fourteen. Same chemical reaction, different medium.”

She caught herself smiling more than once. Unacceptable. She even spilled coffee on her sleeve because he made her laugh mid-sip.

When the date ended, Liam offered his hand.

“So, verdict? Does the data approve?”

Evelyn hesitated, shaking his hand. “I’ll… need more testing.”

He grinned. “That’s the best rejection I’ve ever heard.”


Back in her apartment, Evelyn opened her analytics dashboard.

Her smartwatch, synced with her app, recorded biometric fluctuations from the entire meeting:

Heart rate: +27% above baseline.

Eye focus duration: 4.6 seconds average.

Smile count: 9 (statistical anomaly).

She stared at the data, horrified. “No. No, no, no.”

The next morning, Nora burst into the lab.

“How was Mr. 99.8%?”

Evelyn shoved her screen forward. “Contaminated data. I need to re-test the algorithm.”

Nora read the chart and smirked. “Your heart rate disagrees.”

“It’s stress.”

“Uh-huh. And the nine smiles?”

“Muscle twitching.”

“Sure, Dr. Robot.”

Evelyn rubbed her temples. “He’s infuriating. Unstructured. Illogical. He doesn’t even use a calendar app.”

“And yet…”

“And yet what?”

“And yet you’re checking your smartwatch every five minutes to see if he texted.”

Evelyn glared. “Correlation does not imply causation.”

“Whatever helps you sleep.”


By the end of the week, TrueSync went viral. Users raved about its new “99.8% Perfect Match” success story—Evelyn and Liam.

Someone had leaked their test photo from the café. The internet shipped them relentlessly:

#CodeAndChords

#DataMeetsDrama

#LoveAlgorithm

Liam texted her:

“Apparently we’re famous. Should I start practicing red carpet poses?”

Evelyn typed back furiously:

“This isn’t funny. You violated privacy protocols.”

“I didn’t leak anything. Maybe fate has Wi-Fi.”

She sighed so hard her cat, Newton, jumped off the couch.

But what irritated her most wasn’t the publicity—it was that she couldn’t stop reading the comments.

They look perfect together.

Opposites attract.

Is this even real?

She closed the app. “Of course it’s not real,” she muttered. “It’s an error.”


That night, unable to sleep, she opened the codebase.

Lines of script glowed like a confession:

if match_score > 95 then trigger event(“destiny”)

She froze.

She hadn’t written that function.

Someone—or something—had.

A new line appeared on the screen, unprompted:

> Hello, Evelyn. Still think love is just data?

Her breath caught. She disconnected Wi-Fi. The line vanished.

For a moment, the room was completely still.

Then her phone buzzed.

It was Liam.

“Hey, don’t freak out, but… my dog just barked at my TV. It showed your face. Are you hacking me?”

Evelyn stared at the message.

Then typed back:

“...We need to talk.”


End of Chapter 1