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Introducing GPT-5.2

AI for Nonprofits: Prompting 101

Kyle Behrend

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After a life-threatening rare autoimmune clotting disorder left Rich Kaplan facing kidney damage, his prescribed medication stalled for months because an insurer demanded evidence the drug worked for a condition as uncommon as catastrophic antiphospholipid syndrome. Kaplan used ChatGPT to assemble a referenced synthesis of trials, case reports, and studies, paired with a plain-language note explaining what was at stake; the packet ultimately helped secure approval through third-party arbitration. Since then, he has used ChatGPT as a practical tool for navigating the ongoing complexity of chronic illness, checking potential drug interactions against his medication list, flagging risks tied to kidney disease, and translating dense medical records into clear summaries and questions for clinicians. For Kaplan, the value is agency: turning scattered information and bureaucratic friction into actionable support that helps him pursue better care and stay actively involved in his own health decisions.
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Casey Cuny, a 10th-grade Honors English and Senior Mythology teacher at Valencia High School and California’s 2024 Teacher of the Year, uses ChatGPT to convert students’ interests into stronger writing and deeper inquiry. His “Elaboration Conversation” prompt turns ChatGPT into a coach that offers a claim and evidence on any student-chosen topic, then pushes students to defend the idea using reasoning and rhetorical techniques taught in class. Run as a twice-weekly warmup, the activity coincided with students scoring 23% higher than the school average on a district writing assessment, while shifting classroom energy toward engaged, self-driven work. Cuny’s framework keeps the relationship-centered core of teaching intact: students draft, ChatGPT supports practice and structured questioning, and the teacher provides the human feedback and final guidance.
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Junevity is a new biotech co-founded by entrepreneur Rob Cahill, UCSF scientists Janine Sengstack and Hao Li, and veteran CEO John Hoekman, with a mission to reprogram aging cells using small interfering RNA (siRNA). Cahill’s path from software founder to bioinformatics and lab work was shaped by family experiences with aging and Parkinson’s, pushing him toward preventive, disease-modifying therapies. From day one, Junevity made AI part of its operating system: every employee gets ChatGPT, and OpenAI models augment the company’s genomics and machine-learning pipelines. The team estimates its first development candidate, a liver-targeted siRNA program for Type 2 diabetes and obesity, can reach key milestones at 2–6x lower cost and 2–3x faster timelines than typical industry norms.
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Probably Genetic funds free at-home genetic testing and counseling, pairing it with an AI-driven symptom intake that converts long, free-form narratives into structured phenotype data and candidate diagnoses. For Elizabeth “Betsy” Minium and her daughter Kali, that approach ended a 31-year search marked by inconclusive labels and dead ends, culminating in a Pitt-Hopkins syndrome diagnosis tied to loss of function in one copy of the TCF4 gene.
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Immunologist Dr. Oral Alpan is using GPT-5 Pro to surface new uses for existing FDA-approved drugs by starting from real-world clinical vignettes and working backward to mechanism. A patient with severe eczema and Food Protein Induced Enterocolitis Syndrome (FPIES) stopped reacting to wheat after beginning dupilumab, then relapsed when coverage lapsed and improved again after restarting, prompting Amerimmune to document additional cases. To test whether AI could connect the dots before the observation became part of the literature, Alpan’s team provided GPT-5 Pro the de-identified case and received dupilumab as the top-ranked candidate, alongside mechanistic rationale and risk considerations. The same workflow is now being applied to other conditions where immune subtypes may be hiding in plain sight, helping prioritize repurposing candidates such as fevipiprant for prospective study in areas like IBS and POTS.
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After breast cancer, Allison Leeds found that medicine could explain a surgical plan but offered little guidance on what recovery would feel like day to day, emotionally. She began using ChatGPT in early 2025 to synthesize more than 11,000 patient experiences drawn from public forums, then paired those insights with research in color science and neuroaesthetics to explore how visual environments can shape stress and pain. The result became a new tool for recovery: weekly art cards that combine color palettes with mantras, designed to arrive in cadence with the hardest parts of healing. Shared with support groups, the cards quickly resonated with patients and caregivers and grew into Leeds’s business, built between surgeries with AI acting as a research partner and product scaffold. Her broader body of work, The Healing Spectrum, is now exhibited at SFMOMA, extending the same idea: recovery needs information for the heart, not only the body.
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# Small Business
Diagon, founded by longtime manufacturing procurement leader Will Drewery, applies GPT-5 to one of the most consequential bottlenecks in industrial growth: finding and buying highly specialized machines. Drewery’s experience sourcing equipment across global factories, including managing roughly $3.5 billion in capital spending at Tesla during a period of explosive workforce growth, shaped a clear insight. Plants create jobs and revenue only after the right machines are installed, yet procurement remains slow, opaque, and reliant on fragmented information and expert memory.
# workforce
At Scripps Research, PhD candidate Marco Uytiepo studies how neural circuits store experience by analyzing immense electron-microscopy datasets and reconstructing brain wiring across millions of synapses. Trained primarily as an experimental scientist, he taught himself to code and now uses ChatGPT to accelerate the unglamorous work that makes modern neuroscience possible: building data pipelines, debugging scripts, and automating 3D reconstruction workflows across tools like MATLAB, Python, and Blender. Work that previously required days of iteration can be reduced to rapid cycles that produce usable code and clearer visualizations, supporting faster hypothesis testing and more experiments within a single project.
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Dr. Fleurique Franke, a general practitioner in the Netherlands, uses custom GPTs to streamline routine work in her clinics while improving the quality and tone of patient communication. By drafting clear, guideline-based responses to hundreds of e-consult messages and tailoring explanations to different reading levels, ChatGPT helps her team respond faster without losing empathy or precision. The time saved, roughly a third of her daily message workload, is reinvested in care, training, and follow-up, showing how AI can modernize clinical workflows while keeping medicine humane and accessible.
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Navy veteran and educator Stephen K. Hudson founded AI Ready Veteran to give service members and their families scalable, just-in-time career coaching during the high-friction transition to civilian work. Drawing on two decades as a Navy data analyst, he built a suite of custom GPT tools that translate military roles into civilian competencies, generate tailored resumes, simulate multi-round interviews with voice practice, and coach newcomers through workplace norms that can feel like culture shock after a chain-of-command environment. Launched in May 2024, the nonprofit now serves more than 1,000 users, helping veterans identify target roles and employers, prepare more effectively for interviews, and adapt faster once hired. By turning mentorship into an always-available, highly specific guide, the platform aims to reduce early job churn and help veterans convert experience into confident, mission-ready impact.
# Nonprofits
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