Lately, my team has been experimenting a lot with different AI tools, things like V0, Claude, rapid prototyping setups, and all these new playgrounds that make it fun to test and build ideas quickly. We work with automation every day, so it’s normal that we spin up random concepts, test them, break them, fix them, and sometimes they grow into something worth sharing.
One thing we noticed recently was Twitter follower quality. The follower number looks big, but the engagement doesn’t match it. And honestly, Twitter in 2025 is full of inactive profiles, bots, random spam accounts, and old-niche leftovers that still follow you even though they aren’t relevant anymore.
It’s normal, but it affects how your content performs, and cleaning it manually takes forever.
So we decided to experiment a bit:
Can AI help detect low-quality followers and make cleanup easier?
That experiment turned into a tool we’re currently shaping and improving. It analyzes followers with an AI-driven scoring system, detects suspicious or inactive accounts, and lets you clean your audience in a much simpler, more direct way.
I explained everything in more detail here: https://automatio.ai/blog/remove-twitter-followers/
I’m excited about this project and curious to see how far we can take it. We built it because it solved a real problem for us, and when something helps you in a practical way, there’s a good chance it will help others too.
Let’s see where it goes.
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