You scroll past another AI tool, then pause. Not because you want one more workflow, but because you do not want to miss the one small shift that makes every chatbot answer faster to use. If you mostly live in chat-style AI and are trying to keep up without learning engineer jargon, ayghri / i-have-adhd matters for one reason: this got traction because it rejects AI politeness, not because of ADHD.
That distinction matters because it saves time, attention, and even money. If you misread the appeal, you start shopping for the wrong thing: an identity-specific tool instead of a better answer format. An update is worth watching not when it lists more features, but when it changes your next decision. Here, the decision shift is simple: stop rewarding models for sounding warm before they say anything useful.
The clearest proof is in the README, not the name. It frames the point as stopping AI from burying the answer, then shows before-and-after examples that strip lines like "Great question" and "Hope this helps." What remains is the stuff you can act on: direct commands, file paths, numbered steps, and the next move. That reads less like an ADHD-specific wrapper and more like a no-excuses rule for output discipline. [S002]
The repo page helps explain why that framing spread. At the time reviewed, GitHub showed 6.5k stars and 259 forks. That does not prove who every user is, but it does suggest this pain travels well beyond a small niche audience. People are not saving a repo because it teaches AI manners. They are saving it because "answer first" is a much wider need than the label makes it seem. [S001]
The easy mistake is turning this into a grand anti-politeness manifesto. That would flatten a real accessibility label into pure attitude, and that is not the useful takeaway. The narrower read is stronger: a lot of people are done paying an attention tax every time AI pads the first three lines. You do not need an engineering background to use that lesson. Anyone who uses chatbots for work, school, or everyday research has felt it: the model burns space proving it is friendly, then hides the usable part in the middle.
I only reviewed the GitHub page and README, not a hands-on test, so treat this as a source-based judgment rather than a live benchmark. Share this with the person who keeps saying AI feels helpful but slow. The move is not to copy the ADHD label. The move is to test whether cutting greetings, soft summaries, and polite exits gives you cleaner answers in the chat tools you already use.