Coming Soon: the Amplify Good Work Field Guide

My goal with “Amplify Good Work” was to create a clear and evergreen guide to better AI use in mission-driven work.

AGW sticks to high-level guidance and judgment building so that it can remain relevant and useful even as the models change. But a lot of people still want to know how to protect their data, write custom instructions, and build useful workflows with current models. What is agentic AI and how do I use it? Do I need a paid account? What’s the difference between a custom GPT, a Project, and a Gem?

Enter: the Amplify Good Work Field Guide.

Custom Instructions

What are they? How do I edit them in my chatbot of choice? What should I put in there and how do I write it?

Bonus: Karen, what do your custom instructions say?

The Field Guide has concrete examples, templates, and advice for using specific AI chatbots for mission-driven work, written by a disinterested third party expert with regular, printable updates.

Applied to your own work

In addition to guidelines and dozens of specific examples, the field guide has plenty of space for you to practice and plan.

Table of Contents

Here’s what I’ve got so far. Any thoughts? What else should I add?

The Field Guide builds on the concepts in the book, applying them to common tasks in mission-driven organizations, like program evaluation, hiring, seeking grant funding, and board reporting.

This isn’t something Claude whipped up (although it’s been very helpful in formatting and keeping me concise :)— I’ve been working on it since spring.

The train is my favorite place to work

But it was difficult while I was still formatting by hand.

Suffice it to say that interior book design is not my next career

Things went much faster when I started writing in markdown and had Claude handle rendering.

What’s left is a revision pass and figuring out how to distribute it. What do you think: should I offer it pre-printed and bound? printable? Both?

LLM disclosure: I didn’t use AI on this post.

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The Intersection of Transparency, Effort, and Care