07/08/2026
Ask AI to "write an article" with nothing to go on, and it will — gleefully! As you experiment with AI-written content, you may have realized that AI needs a lot of background info to write something that actually sounds like you and gets the facts right. But how can you do that efficiently?
Somewhere between avoiding AI and blindly trusting AI is a better process.
Here's the hybrid process I use in my own writing and with my clients. You can see the result in my latest blog post.
1. Start with real material. >>> I recently gave a Toastmasters presentation about fostering dogs. I uploaded the whole deck to my AI assistant. That was an easy source of verified info.
2. Let AI interview you about the content. >>> It's easier (and faster) to answer questions than to write fresh content. This adds the critical human element. AI asked me about the content in the deck, and I answered in my own words — the dogs, the goodbyes, the families. Slides hold the points; my answers held the stories.
3. Let AI draft. >>> With all that material, it had something real to work from. This is where the efficiency really kicks in. The article is drafted in seconds.
4. Make AI review its own writing and question your ideas. >>> This reveals what's weak, what's wrong, and what needs a second look. *** Step 4 earned its keep twice today. 1) AI flagged a statistic I've repeated for years — that black dogs are harder to adopt. Ends up that research doesn't support it. 2) AI also flagged a few of my own phrases that sounded great in my head but were harsh on paper.
5. Human review, always. >>> The article is likely in good shape, but it will benefit from a final review.
The finished article is on my blog — a personal piece about why I foster and why every hard goodbye is worth it.
Speed, efficiency, and authenticity — you really can have all three. It just takes more than typing "write me an article."
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"How Can You Let Them Go?" My experience of being a bridge in the dog fostering network Every time someone visits my house or sees a foster puppy on – From the "Meanwhile, In Real Life" series by Michelle Haynes, blending community moments with lessons in content, systems, and AI.
