Most people generating AI content on X are making the same mistake.
They use a generic tool built for all niches.
Then wonder why their posts get 3 likes.
We fixed it.
Meet https://t.co/Ar86HEkDs1
Your best content is invisible to you.
I was staring at my analytics at 11 PM.
Another post tanked.
Hook was solid.
Message was clear.
But something was missing and I couldn't name it.
47 niches. Multiple personas per niche. Hook scoring. Profile scanning. A/B testing built in.
Free tier gives you 20 credits to test the idea.
That tanked post from week one. Rewrote it using the scanner and the contrarian persona. Posted it. 3x engagement.
Most X writing tools sound like they were written by an AI that read a marketing blog once.
Generic advice. Templated takes. Your voice? Nowhere.
https://t.co/uOSdpMK44a does the opposite.
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· 20 free credits to start, no card
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· Creator: 300 credits / $9.99 mo
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Credits don't expire. Use them whenever you need them.
📌3 AI models. You choose the depth.
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Each plan unlocks the next tier.
Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.
Its capabilities exceed those of any model we’ve ever made generally available.
The next generation of agents won't win by having bigger context windows. They'll win by being radically constrained in what they're allowed to assume and ruthlessly systematic about what they ask for.
What's your agent architecture actually doing right now?
Most people's AI agents are failing for the same reason. They think more context equals better decisions. So they dump the entire codebase into the system prompt and wonder why Claude starts hallucinating file paths that don't exist.
This is why agents built backwards fail in production. They're taught to be omniscient instead of being taught to be curious. Curiosity means tool calls. Tool calls mean verified context. Verified context means fewer bugs.