Feeding the LLM the Whole Thread: Prompt Chaining for Contextual Replies

I wrote earlier about our persona engine — how we make one LLM sound like many different people. But a great persona replying to a single tweet in isolation still produces mediocre replies, because a tweet is almost never the whole story. The tweet is one node in a conversation. The best replies reference what came before, anticipate what comes after, and match the register of the thread they're joining. A human reads the thread before replying. An LLM, by default, sees only the tweet you hand…