The AI Copy Review Checklist for Christian Nonprofits

Why AI copy needs a specific review process

AI-generated copy has its own failure modes — specific ways it tends to go wrong that are different from the ways human-written copy goes wrong. Human writers forget things. AI writers smooth over them. Human writers use too much jargon. AI writers use too much polish. Human writers trail off. AI writers add summaries that weren't asked for. A good review checklist addresses these specific tendencies so that what goes out the door is genuinely useful rather than merely technically correct.

The clarity questions

1. Would a normal person say this out loud?

2. Is this specific, or just inspirational?

3. Does it explain who we help?

4. Does it explain what we actually do for them?

5. Is the next step obvious?

If any of these answers is no, the copy needs revision. These questions apply to the entire piece and to individual sentences. A single vague sentence in an otherwise strong email can undermine the reader's confidence in the whole.

The specificity test

Apply this question to every impact claim in the copy: "Could this sentence be true of 500 other nonprofits?" If yes, it's too generic. "We make a difference in our community" — true of 500 nonprofits. "Maria completed our job training program in May and started work at a food distribution company two weeks later" — true of exactly one organization and one person. The specificity test will quickly identify every place AI has defaulted to generic language that needs to be replaced with real detail.

The ministry language questions

6. Are we using ministry phrases without explaining them?

7. Would a first-time visitor who is not a Christian understand this without a glossary?

8. Are we assuming faith commitments the reader may not share?

Christian nonprofit copy often contains language that is meaningful inside the community and opaque outside it. This isn't a problem if your audience is exclusively internal — but if you're trying to reach new donors, church partners who are exploring, or secular grantmakers, insider language is a barrier. AI doesn't know which terms need translation for your specific audience. You do.