Source Intelligence
Sweep 28 Aug 2026 ยท 00:00Z Build v2.1.250 478 read Stable v2.1.236 Latest v2.1.250 Next v2.1.250 Feeds RSS JSON llms.txt

DisclaimerUnofficial, and not affiliated with Anthropic. Nearly all of this is read straight out of what ships: npm bundles, captured prompts, published docs. Anthropic's own notes go in verbatim, marked as theirs. The rest is my reading, and every entry carries the strings behind it. If one looks wrong, vote it down and say why.

One change

reduce-latency

test-and-evaluate/strengthen-guardrails/reduce-latency

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test-and-evaluate/strengthen-guardrails/reduce-latency Changed · +2 / -2 lines

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 ### 1. Choose the right model
 
-One of the most direct ways to reduce latency is to select the appropriate model for your use case. Anthropic offers a [range of models](https://platform.claude.com/docs/en/about-claude/models/overview) with different capabilities and performance characteristics. Consider your specific requirements and choose the model that best fits your needs in terms of speed and output quality.
+One of the most direct ways to reduce latency is to select the appropriate model for your use case. Anthropic offers a [range of models](https://platform.claude.com/docs/en/models/overview) with different capabilities and performance characteristics. Consider your specific requirements and choose the model that best fits your needs in terms of speed and output quality.
 
 For speed-critical applications, **Claude Haiku 4.5** offers the fastest response times while maintaining high intelligence:
 
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 </CodeGroup>
 
-For more details about model metrics, see the [models overview](https://platform.claude.com/docs/en/about-claude/models/overview) page.
+For more details about model metrics, see the [models overview](https://platform.claude.com/docs/en/models/overview) page.
 
 ### 2. Optimize prompt and output length