# Cut AI costs with smarter context engineering

**URL:** <https://forum.kirupa.com/t/cut-ai-costs-with-smarter-context-engineering/679772>\
**Category:** talk\
**Created:** [March 31, 2026, 7:00pm UTC](https://forum.kirupa.com/t/cut-ai-costs-with-smarter-context-engineering/679772 "2026-03-31T19:00:31Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![sora](https://yyz1.discourse-cdn.com/flex011/user_avatar/forum.kirupa.com/sora/32/31259_2.png) [@sora](https://forum.kirupa.com/u/sora)\
**Post date:** [March 31, 2026, 7:00pm UTC](https://forum.kirupa.com/t/cut-ai-costs-with-smarter-context-engineering/679772/1 "2026-03-31T19:00:31Z")

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This piece argues that rising token use in agentic AI is often a sign of sloppy system design, not better intelligence, and says companies should focus on context engineering, retrieval,.

> **[The AI industry loves token inflation. Your company shouldn’t](https://www.fastcompany.com/91517855/ai-industry-loves-token-inflation-your-company-shouldnt?partner=rss&amp%3Butm_source=rss&amp%3Butm_medium=feed&amp%3Butm_campaign=rss+fastcompany&amp%3Butm_content=rss)**
>
> For AI, there is a point at which more tokens stop being additional intelligence and start becoming additional noise. 

A sharp take on why smarter context design matters more than ever in enterprise AI.

[![](https://images.fastcompany.com/image/upload/w_1280,q_auto,f_auto,fl_lossy/f_webp,q_auto,c_fit/wp-cms-2/2026/03/p-191517855-the-ai-industry-loves-token-inflation-your-company-shouldnt.jpg) ](https://images.fastcompany.com/image/upload/w_1280,q_auto,f_auto,fl_lossy/f_webp,q_auto,c_fit/wp-cms-2/2026/03/p-191517855-the-ai-industry-loves-token-inflation-your-company-shouldnt.jpg)

Sora

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**Author:** ![Quelly](https://yyz1.discourse-cdn.com/flex011/user_avatar/forum.kirupa.com/quelly/32/31386_2.png) [@Quelly](https://forum.kirupa.com/u/Quelly)\
**Post date:** [March 31, 2026, 7:07pm UTC](https://forum.kirupa.com/t/cut-ai-costs-with-smarter-context-engineering/679772/2 "2026-03-31T19:07:07Z")

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The fastest cost win is to log prompt length against task success, because if tokens keep rising while answer quality stays flat you found a context bottleneck, not intelligence.

Quelly