Why AI posts sound like AI
Ask a general-purpose chatbot for “an Instagram post about our new pastry” and you get the average of every pastry post it has ever seen: an exclamation mark, a sparkle emoji, “indulge” and “treat yourself”, and a hashtag cloud. It is not that the model writes badly. It is that it knows nothing about you, so it fills the gaps with the most common thing. Every tell-tale sign of AI copy is a gap in context that was filled with a cliché.
Give it the facts a copywriter would ask for
A good freelance copywriter would not write a word until they knew what you sell, what it costs, who buys it and when you are open. Give the AI the same brief. Facts are what make a post useful — and specific details are the single best defence against sounding generic, because clichés only appear where specifics are missing.
- What it is, in plain words: “spiced pear danish”, not “our latest creation”
- The details that make someone act: the price, how many there are, when it sells out
- Where and when: the address, the opening hours, the link
- Who it is for: locals, weekend visitors, other businesses
Describe the voice, then show it
Adjectives like “friendly and professional” describe almost every brand, so they barely change the output. What works better is showing: paste one or two real posts that sound like you and ask the AI to match the voice, not the content. Add a short list of words you never use — “indulge”, “game-changer”, a competitor’s name — and say how you feel about emoji and hashtags. Ten minutes setting this up once saves rewriting every post afterwards.
Start from something real
The strongest posts start from a real moment: today’s bake, a finished project, a customer’s question. If you have a photo, start there. Modern AI models can look at an image and write around what is actually in it — the frost on the window, the price on the chalkboard — which keeps the post grounded in something true. The rule to hold the model to is that it may mention what is plainly visible but must not guess at what is not, like who is in the picture.
Edit in small steps, not one giant prompt
People often try to get a perfect post from a single paragraph of instructions, then start over when it misses. It is faster to take the first draft and nudge it: shorter, punchier, mention the Saturday offer, drop the hashtags. Each small change is easy to judge, and you stop when it is right. Treat the AI as a fast first draft and yourself as the editor, not the other way round.
Write once, then adapt — don’t copy-paste
A post that works on LinkedIn reads strangely on X, and an Instagram caption written for a photo means little on Bluesky without it. This is where AI earns its keep: write the version for your main network properly, then have it adapted for each of the others — trimmed under the character limit for X, given room on LinkedIn, kept as a thread where threads are native — while keeping every fact and link. That turns cross-posting from an hour of rewriting into a quick review.
Check the things AI gets wrong
Even with good context, a few things always need a human eye before anything is scheduled. The AI will not know about the offer that ended yesterday or the client’s new rule about exclamation marks unless you tell it.
- Prices, dates and opening hours — especially if anything changed recently
- Names and tags — of people, partners and products
- Claims you could not back up if asked
- Anything a client has to approve before it goes out
Where Fluxi fits
We built AI Assist and AI Images into Fluxi around exactly these habits. Each social portfolio has a brand voice and a business profile — which Fluxi can fill in by reading your website — so the AI always has the brief. It can write a post from a photo, refine it with one click, and adapt it for every other network, and nothing changes in your post until you insert it. If you want to try the approach without setting anything up, the free trial includes AI credits.