“Is there an AI social media writer that learns from the posts I approve?”
Is there an AI social media writer that learns from the posts I approve?
Short answer
Yes. Threadgehog compares the drafts you approved with the ones you rejected and writes rules for the next batch, and it sends up to 8 of your recent approved posts along as examples. With Buffer, Publer, Postiz or Metricool (X only) it also builds on what your top posts share.
The loop
Every approve and reject is a signal. Learn now reads your approvals, your rejections and your post numbers, then rewrites the rules the next drafts follow. Learning also runs on its own: every 3 days on Solo, every day on Pro and up to 3 times a day on Unlimited, with Threadgehog AI.
When Threadgehog writes new ideas and the daily batch, up to 8 of your most recent approved posts go along as examples.
Learning from results
With Buffer, Publer or Postiz, and Metricool for X, Threadgehog reads how your posts performed. Most new drafts then build on what your top posts share. Settings > Learning has a What's working view that compares proven drafts and new ones against your typical post.
Example rules and numbers on the site are illustrations. Yours fill in as you review drafts and your posts go out.
What the learning sees
Learning looks at three things: what you approved, what you rejected, and how your posts performed. It writes the result as rules in plain language, so you can read what it picked up.
Those rules travel with each request, along with your example posts, so the next batch follows them.
How to get the most from learning
Learning follows your choices. If your approvals are inconsistent, the rules will be too. It also needs enough decisions to see a pattern, which is why auto-approve waits until Threadgehog agrees with your choices often enough.
Settings > Learning shows the rules it wrote. Read them after the first few batches and edit anything that looks wrong. Example rules and numbers on the site are illustrations, and yours fill in as you review drafts and your posts go out.
Your part
Be consistent in what you reject. If you reject a draft for being too salesy one day and approve a salesy one the next, the rules blur. Reject for a reason you would repeat.
Rebuild the brand voice once your own posts start doing well, by pasting them in place of borrowed examples.
Where auto-approve fits
Auto-approve waits until Threadgehog agrees with your choices often enough. Then drafts it is sure you would approve skip Pending. Posts approved this way are left out of the learning, so a weekly review of the rest keeps the signal clean. See posting daily without writing.
How other tools describe it
Typefully's page says its AI tools learn how you actually write, and Hypefury lists AI trained on your posts on its Full plan. Neither page describes learning from approvals and rejections, and Buffer's AI page does not state that it learns your voice (October 2026). Compare in Threadgehog vs Typefully.
You can approximate learning in ChatGPT by updating your instructions yourself. See Threadgehog vs ChatGPT.
Getting started
Start with 10 to 20 example posts, then review the first batch honestly. The first week teaches it the most. The Mac app is on a waitlist; the 14-day trial, with 50 AI drafts, starts when it opens. See pricing and the voice guide.
Questions
What does Learn now do?
It reads your approvals, rejections and post numbers and rewrites the rules the next drafts follow.
How many approved posts does it use as examples?
Up to 8 of the most recent.
Does it need a scheduler?
Post numbers come from Buffer, Publer, Postiz or Metricool for X.
Can I see what it learned?
Yes, in Settings > Learning.
Does learning cost AI drafts?
No. Only writing a new draft counts.
Do rejected drafts matter?
Yes. Rejections teach as much as approvals.
Sources
- Threadgehog home and FAQ (checked 2026-10-17)
- Typefully pricing (checked 2026-10-17)
- Hypefury pricing (checked 2026-10-17)
- Buffer AI Assistant (checked 2026-10-17)