New: Cookbooks and AI ExplanationsStep-by-Step recipes to solve problems connected to Roadmaps and Cheat Sheets. Need more details? Use AI buttons for structured and simple explanations with concrete examples throughout the whole platform.Take a look
You gave the assistant your requirements in three separate messages instead of one, and the final answer leaned on a guess it made in the first message.
What you'll have at the end
A scored comparison of the same request asked in one message versus spread across several, with a clear winner on accuracy
You need
You have access to the chat interface or API for the LLM you use for real work, and a real request from that work with at least three separate, independent requirements a correct answer has to satisfy all at once.
Not covered
Whether a genuinely exploratory conversation, one where you don't yet know all your own requirements, should also happen in one message is a different question; this only covers a request where you already know everything you need before you start typing.
Leans on
Context rot: proving your own prompts degrade as they grow
If your test conversation is one long, growing prompt rather than several separate messages, and the drop shows up as length grows instead of as turns pile on, that recipe proves the length version of this same claim.
Chatbot won't drop the old topic
If the multi-turn reply is dragging in facts from a genuinely different, earlier topic rather than a stale guess about this same request, that's a topic-switch problem with its own fix.
Checked 15 Aug 2026
Part of the Context Engineering cookbook