The AI Case Files
Book 1: #2 in Hot New Releases and Top 10 Bestseller, Children's Books on Computer Programming, Amazon.in, July 2026
A four-book series for ages 11 to 15, by a Bengaluru AI leader and doctoral candidate in AI.
Start with Book 1. It teaches the data foundation that AI is built on. Books 2, 3, and 4 build from there: machine learning, generative AI, and AI agents in turn. All four books are out now.
Jennie is twelve and her squirrels have gone quiet. Across twelve chapters, she and Ki, her palm-sized and occasionally overconfident AI assistant, learn how data is collected, what an average actually means, when correlation isn't causation, and why an AI that gets the maths right can still be confidently wrong. Aligned with CBSE Mathematics Classes 6 to 8.
An algorithm called ORACLE is deciding which Bengaluru students get scholarships, and Jennie thinks it's wrong. Across thirteen chapters, the case unpacks how machine learning models actually work, and how they fail. Algorithmic bias. The black box problem. Why an AI can be 98% confident and still be making the most expensive mistake in the room.
When AI writes stories, paints pictures, and composes music, who gets the credit? This is the book for any child who has used ChatGPT and wondered what is actually going on inside.
Jennie builds a squad of seven AI agents to save Rukku Aunty's tiffin service, and learns that the hardest question is not what an AI can do, but who answers when it gets things wrong. The final book in the series.
Examples set in Bengaluru, references to UPI, AIIMS, and the world your child already lives in.
Teaches bias, error rates, and the Black Box problem — because responsible AI use starts with knowing what AI can't do.
Mean and median. Bias and overfitting. Reinforcement learning and the black box. The terminology your child will actually meet, taught through stories that earn it.
Which chapter would you like?
Get Chapter 4 of Book 1 — where Ki calculates the perfect average and gets the completely wrong answer. Mean, median, and mode, explained through a mystery.
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Satya Krishna Vishnumolakala is an AI technology and solutions leader based in Bengaluru, with nearly two decades in technology and more than nine years focused on data science. She holds a Master's degree in Data Science and is a doctoral candidate in Artificial Intelligence. The AI Case Files began during her son's summer holidays, when a search for age-appropriate books on data science, machine learning and AI came up empty. She wrote the books she wished had existed.
Contact: hello@theaicasefiles.com
Bringing this to your classroom? The series aligns with NEP 2020 digital literacy outcomes for Grades 6 to 9. For bulk orders, classroom activities, or to invite the author for a school talk, email hello@theaicasefiles.com.
Messages and comments people sent when the books came out. Names left out for privacy.
