Episode 99: Can AI Personalize Donor Engagement at Scale? The Rise of N-of-1 Philanthropy

November 5, 20263 min read

Overview

In a world where AI evolves at lightning speed, many people and organizations still find themselves stuck on the sidelines.

Today’s discussion explores why so many teams face “analysis paralysis” when choosing the right tools. Rather than getting overwhelmed by shiny new software, the focus shifts to practical solutions: staying curious, mastering core tools, and using agentic AI to handle heavy administrative tasks. From personalized communication to building streamlined one-person workflows, this conversation highlights how smart automation can transform daily productivity.

Furthermore, Nathan and Scott share bold predictions for 2027, emphasize the need for basic data safety standards, and call for a “pro-boundaries” balance between high-tech efficiency and intentional offline time. Ultimately, today’s episode offers a grounded roadmap for taking control of AI, helping you cut through the noise, boost your impact, and stay clear in a fast-changing digital landscape.

Cover art for episode 99: Can AI Personalize Donor Engagement at Scale? The Rise of N-of-1 Philanthropy

Episode highlights

02:29 The Speed of Technological Evolution
12:19 N1 Philanthropy, the New Book Coming on November 17
17:15 Reflections on the Fundraising Summit
29:36 Predictions for 2027
33:56 Human Agency and Boundaries

Tips and tools to implement today

Turn on high-effort reasoning or custom instructions in ChatGPT, Gemini, or Claude.
Stick to your main AI app today. Stop switching between multiple tools.
Pick one small, repetitive task (such as summarizing notes) and hand it to AI right now.
Use AI to customize emails or donor outreach individually instead of using bulk templates.
Set up basic web browsing or plugin tools to let AI complete tasks, not just write text.
Outline simple team guidelines for checking AI privacy and verifying facts.
Always double-check key facts and data AI generates against primary sources.

Favorite quotes

"I think it's 60% of searches on the internet that are done now by agents, because if I search for one thing, my agent, which is literally every Google search, is now an agent, is actually sourcing tons of websites, and then the quality of my response goes way up." - Nathan Chappell
"I think we'll find ourselves in a world by the end of next year where people will not think about AI slop; they'll think about the accuracy and the robustness of their results, and be much more willing to go along with those results because hallucinations have been dealt with, and they're dealt with because you have more data." - Nathan Chappell
"I think another prediction for the end of next year is that there'll be another type of awakening that's not anti-AI, but it's pro-boundaries." - Nathan Chappell
"I think the reality is that those same people will trust AI to make important decisions that they don't have to make just on their own, or guided decisions, but they'll have more clarity around the things that are actually important to do in life." - Nathan Chappell
"I think probably there are two trends. Agent capability is on par, if not further along than I thought it would be. The adoption and usage of agents is further behind than where I thought we would be." - Scott Rosenkrans
"Agents just isn't top of mind for many organizations as a whole because they're still trying to get into just standard chat interfaces." - Scott Rosenkrans
"Gaps between a model release could have been seven or eight months, and now it feels like three weeks is a long time for a lab to not come out with a new model or a new version of a model." - Scott Rosenkrans