AI for writing posts: what it does well and what it ruins
This is written on the blog of a product that uses AI, so it is worth being honest about both sides: there is a part it solves very well, and another where it produces exactly the text you recognise from a mile away.
What it solves well
The blank page, which is the most expensive obstacle of all. A bad draft is infinitely easier to fix than an empty screen, and it produces drafts in seconds.
It is also good at reorganising: taking what you already wrote messily and putting the important part on top, cutting repetitions, splitting text into carousel pages.
What it ruins
Everything that depends on knowing something only the maker knows.
- Numbers: lead time, price, quantity. It invents them with total confidence.
- The craft detail: what changes in the heat, the trick only you use.
- Your voice, unless you give it examples of what you already wrote.
- Opinion: AI text sits on the fence by construction.
The rule about numbers
No number goes from AI into a post without you confirming it. A wrong lead time published becomes a real complaint, and nobody on the other side accepts "the tool wrote it".
It is the same rule for anything factual about your business: the tool writes, you answer for it.
What makes the difference is what you give it first
Generic text comes from a generic request. If the tool knows your trade, your customer, what you refuse to do and how you speak, the draft already comes out sounding like you.
That is why it is worth spending half an hour once explaining the business, instead of complaining about the output every month.
ReadyMonth asks those things once and uses them every month, and the text arrives as a draft precisely so you remain the one deciding.