How to Write X Threads with AI

A thread can make a complex idea easier to follow by dividing it into connected posts. AI can help identify the main argument, propose an order and compress a longer source into short units. Begin with a specific point the source supports. Give the model the original article, report or notes, along with the intended audience and any details it must not change. A strong first post tells readers what question or lesson the thread addresses without exaggerating the outcome. Each following post should add one step, example or piece of evidence and connect clearly to the preceding idea. Numbering can help readers follow the order, but do not rely on it alone; each post should contain enough context to make sense if it appears separately in a feed. Close with a summary, source link or relevant next action rather than an unrelated promotion. Check claims and quotations post by post. A summary can drop a limitation or make a conditional result sound universal. Keep names, dates and figures traceable to the source. If the thread includes personal experience, do not let AI invent scenes or feelings. X’s help documentation describes a thread as connected posts from one author; posts can be added before selecting Post all, and longer threads may be collapsed in timelines. Standard posts have a current character limit, while other posting options can vary by account and product tier. Use the live composer to check each segment rather than trusting a static character count. Keep links and source context where they support the point. Read the entire thread aloud and inspect each post separately. Remove repeated hooks, filler, overconfident claims and breaks that interrupt the logic. A thread is not improved just by being longer. Measure whether it helps the intended audience understand or act, and update it if the source changes.