My Stepbrother's Dirty Little Secret novel Chapter 49

“…this model demonstrates earlier demand detection and improve shipment planning accuracy…”

Jules stopped chewing.

“Improve?”

“I know.”

“It should be improves.”

She typed quickly, fixing it.

The robotic voice kept reading the paragraph. I listened carefully while speaking corrections quietly toward the phone.

Jules snorted, “Did you just write ‘shipment lizards’?”

I grabbed the keyboard, “That’s not what I said. I said logistics.”

She leaned back in the chair laughing, “Apparently the computer heard reptiles.”

I fixed the word and kept listening to the audio playback.

Jules leaned closer to the screen, pointing at another sentence, “This one sounds like Yoda wrote it.”

I groaned, “Just fix it.”

She deleted half the line and rewrote it with simple words.

“You think too much,” she said casually.

“You think too little.”

“Yeah but my sentences work.”

She grinned at me over her shoulder and I stuck my tongue out at her. For the next hour we worked like that. The phone read the report out loud. I corrected what I could. Jules hunted down the grammar mistakes and punctuation like a tiny editor with snacks. Every time she found a weird sentence she made a dramatic face.

Eventually the red circles on the printed pages started disappearing from the new document.

Jules stretched her arms over her head, “So what’s the big scary meeting tomorrow?”

I turned the laptop slightly toward her, “The client is a bank.”

She raised an eyebrow, “Like… a normal bank?”

“Not exactly.”

The briefing file opened on the screen, “Midland Trust Financial,” I read. “They’re buying a predictive fraud system.”

Jules leaned closer, “What does that mean?”

“They want the AI to catch fraud before it happens.”

Her nose scrunched, “How?”

I pointed at the screen where the data model sat, “The system watches behavior patterns. Spending habits. Travel patterns. Device logins.”

“Okay…”

“If someone suddenly behaves different from their normal pattern, the AI flags it.”

I kept scrolling through the file.

“They lost thirty million dollars last year from identity fraud. Their current system only catches it after the transactions happen.”

“So they're making a smarter robot.”

“Basically.”

I opened the chart I had built earlier, “This model predicts risk earlier,” I explained. “Before the transaction actually happens.”

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