Stories

Doreen Mayrell uses custom GPTs to turn college algebra lessons into conversational support for dual-credit high-school students. By pairing guided notes with ChatGPT, she helps students learn before class, ask better questions, and use classroom time for practice and application.

Kenya Solomon joined an AI pilot at Kane Realty while working as a security guard. By combining a 300-page fire-alarm-panel manual with veteran employees' institutional knowledge, he built a ChatGPT tool that gives real-time instructions during alarms. The project solved a long-standing operations problem and helped him move into a newly created Technical Project Manager role.

Jaxsen Day uses ChatGPT to bypass the fragmented pipeline of OCR tools, database searches, and unreadable PDFs that once made academic research slow and exhausting. By converting citations into direct access links, restructuring papers into usable summaries, and enabling voice-driven interaction, ChatGPT turns inaccessible documents into immediately workable research materials and restores time for actual thinking.

A team at UC Santa Barbara and the Kavli Institute for Theoretical Physics is using OpenAI models to accelerate “ambulance chasing,” the process of generating and testing explanations for anomalous collider data that might point to physics beyond the Standard Model. Their system, FERMIACC, combines reasoning models, agents, and established simulation tools to turn a workflow that once consumed weeks of graduate-student time into a closed-loop pipeline that can produce and evaluate hypotheses in under ten minutes.

Terence Tao says AI has moved from an interesting but limited experiment to a practical research tool that now saves more time than it wastes in mathematics and theoretical physics. He uses it to search literature, write code, test ideas, run calculations, and support verification, while arguing that the real bottleneck is shifting away from routine problem-solving toward choosing good problems, designing sound workflows, and checking results carefully.

After symptoms were dismissed and an early diagnosis did not fit, Lauren Bannon began feeding months of symptoms and bloodwork into ChatGPT to look for patterns. ChatGPT suggested Hashimoto’s disease and prompted a thyroid peroxidase antibody test; the elevated result led to scans and a biopsy that revealed thyroid cancer, followed by surgery and radioactive iodine treatment that she believes came in time to stop the disease from spreading.

In 2025, Principal Manju Balasubramanyam led Delhi Public School Bangalore North in having more than 350 teachers complete OpenAI’s ChatGPT Foundations for Teachers program, paired with free access to ChatGPT Go, to help educators use AI more effectively in classrooms and school operations. Early school analysis reports high confidence and active use, with teachers saying the tool raises the bar for originality and student reasoning, and the leadership is now exploring whether the program can expand to students in grades 9–12.

Matt Rosenberg and his wife, Chef Kamonwan, used ChatGPT to evaluate neighborhoods, model restaurant unit economics, and ultimately pivot from an unaffordable lease to a legal home-kitchen path that let them test the concept with real customers. By translating dense regulations into checklists, pricing and packaging guidance, and a daily operating plan inside ChatGPT Projects, they soft-launched Bangkok Rush Thai Kitchen, served dozens of meals with five-star feedback, and opened a runway toward a future brick-and-mortar or franchise.