Why most AI captions are bad
99% of AI-generated captions sound the same — generic, em-dash-heavy, vaguely uplifting, no specifics. That\'s because most tools (and most users) prompt the AI with "write me an Instagram caption for a bakery" — which is a prompt for the average bakery caption ever written. The AI gives you exactly that.
The three things good AI captions need
- Your actual voice. Feed the AI 5–10 of your past posts (or your written sample in onboarding). The AI learns sentence rhythm, word choice, what you do/don\'t say. FeedCrew captures this in 30 seconds during onboarding.
- Specific context. Not "bakery post." It\'s "Tuesday morning, croissants just out of the oven, butter sourced from the farm in Hudson Valley, second batch already half-sold." Specifics produce specifics.
- A tight template, not "write me a caption." The 4-part hook → value → personality → CTA formula constrains the AI in a way that produces consistently good output.
What FeedCrew does behind the scenes
- Captures your voice from 3 sample posts in onboarding.
- Builds your industry context (what you sell, where you are, your typical CTAs).
- Applies the 4-part caption template to every generated caption.
- Lets you regenerate with one tap if the first try misses.
- Lets you edit inline before approving.
Two-second test before posting
Read the caption out loud. If you\'d feel weird saying it to a customer, change one phrase to something you would say. Done — that one swap is what makes AI captions feel human.