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Chapter 5 · Context Engineering and Memory
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CHAPTER 05 · Context Engineering and Memory · 11 / 11

The quiet truth about agent quality

Teams obsess over model choice and prompt wording, but in practice the biggest quality wins come from context engineering: giving the model short stable handles, sweeping the right artifacts into reach, injecting a prior-turn summary, distilling tool outputs, and forcing fresh reads of mutable data. None of it is glamorous. All of it is where "it just works" actually comes from. Spend your effort here.

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