AI for Nonprofits: Grants, Communications, and Evidence

A grant application is an evidence problem wearing a writing problem's clothes, which is why fluent generated applications get rejected. This cursus separates the repetitive layer, worth compressing, from the local evidence that actually decides funding. Then operations on almost no budget: reporting that earns the next grant, the free tier trap that puts beneficiary data on the weakest terms, and donor work. It ends on evidence: what a small charity can honestly claim, why feedback flatters, and where analysis genuinely helps.