I'm trying to scale our content production using ChatGPT and Midjourney, but the output often feels generic and "uncanny." Our audience is starting to call out the AI-generated captions in the comments. Does anyone have a specific prompting workflow or "human-in-the-loop" process that allows for high-volume posting while maintaining a unique brand voice and emotional resonance?
3 answers
The mistake most people make is asking AI to "write a caption." Instead, you should feed the AI your brand’s "Voice DNA"—upload 5-10 of your best-performing past captions and tell it to analyze the tone, sentence structure, and humor. Then, give it a very specific "Persona." For example, "Write this as a snarky but helpful tech expert." Most importantly, use AI for the 70% of the draft, but the last 30% must be a human editor adding specific industry anecdotes or current event references that the AI wouldn't know. This "Hybrid" model saved us 15 hours a week without a drop in engagement.
Have you tried using AI specifically for the "hook" and the "call to action" (CTA) rather than the entire body? Sometimes the middle part is where the AI gets a bit too repetitive and "fluffy."
I always tell my team: AI is your intern, not your creative director. Use it for research and outlines, but the final "vibe check" has to be done by a human.
Exactly, Donna. If you let the "intern" run the whole show, you're going to end up with a very boring and predictable social feed that people will eventually unfollow.
That's a great tip, Jason. We started using AI to generate 10 different "hooks" for a single video. We then pick the most provocative one and write the rest ourselves. It keeps the core message authentic while using the AI's strength in understanding "click-worthy" opening statements. It’s increased our Reel view-through rate by almost 15% since we started in December.