Prompt to Write Viral Twitter Threads on Autopilot

The prompt encodes the structural rules of high-performing threads directly into the instruction set. By specifying that each tweet must 'stand alone but build the narrative,' it forces the model to write self-contained units that work in both feed and thread context — matching how readers actually consume Twitter content. The constraint 'short sentences, hard stops' steers the model away from verbose prose and toward the punchy, scannable rhythm that drives engagement on the platform. Explicit style rules like 'no emojis, no hashtags' eliminate the filler patterns LLMs default to when mimicking social content. Anchoring the hook requirement to a specific mechanism — 'bold claim or curiosity gap' — gives the model a concrete rhetorical target rather than a vague goal like 'make it engaging,' which produces more predictable, scroll-stopping opening tweets.