Grant writing is a high-stakes craft where every word competes for a funder's attention. You already know the fundamentals: research, narrative, budget, impact. But you also know the crushing time pressure, the repetitive rewrites, and the quiet dread of missing a deadline. This book shows you exactly where AI can help — and where it must not. You will learn to use a chat-based model as a research assistant, a drafting partner, a style editor, and a logic checker. You will discover how to brief the machine so its output sounds like you, not a generic brochure. You will build repeatable workflows for needs statements, logic models, evaluation plans, and budget justifications. Every chapter includes verification steps because AI drafts; you decide and you remain accountable. Crucially, this book is honest about the risks: never paste confidential funder data into a public tool, never let AI generate a false statistic, and never skip your own professional judgment. Whether you work for a nonprofit, a university, a local authority, or a foundation, this practical guide will help you write stronger applications in less time — without cutting corners on ethics or quality. Part of The AI at Work Library.
