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Alex Albert Shares Tips for Getting the Most Out of Fable 5.2

Alex Albert · X· @alexalbert__·· 3 days ago

9.9K views · 248 likes · 10 reposts (at collection)

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Alex Albert
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shares usage tips Claude Fable 5.2
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A few tips for getting the most out of it:

What happened

Alex Albert says Fable 5.2 feels like a major step above Opus 5.5 on big, open-ended work. He recommends asking it to critique an idea before building, starting at medium or high effort and reserving extra high for the hardest problems, setting approval boundaries up front, and assigning a whole project it can run for hours.

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See the full storyAnthropic Releases Claude Fable 5.2 and Mythos 5.2 with Lower API Prices
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I really love using Fable 5.2. On big, open-ended work it feels like a major step above Opus 5.5.

A few tips for getting the most out of it:

  • Ask what’s wrong with your idea before it builds anything. It’s great at brainstorming and will push back
  • Start on med/high effort, and save xhigh for hardest problems
  • Tell it up front what needs your approval (e.g. deleting things) and that the rest is its call
  • Give it a whole project instead of a next step and let it run for hours. This is where it shines
Quoted postClaude@claudeai

Introducing Claude Fable 5.2 and Claude Mythos 5.2, designed to tackle the most daunting technical challenges.

They’re capable collaborators on ambitious projects in many fields, and show improvements in areas like coding, reasoning, and vision.

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The story so far

Anthropic released Claude Fable 5.2 and Claude Mythos 5.2, lowering API prices to $8 per million input tokens and $40 per million output tokens, from $10 and $50. Anthropic says both models improve coding, reasoning, and vision, and that Fable produces responses faster than version 5.1. Fable is available to paid users with safeguards for risky cybersecurity and biology tasks; Mythos is limited to organizations approved through Anthropic’s verification programs. The launch reports cite strong benchmark results, including Fable’s first-place score on Artificial Analysis’ Intelligence Index v5 at its highest compute tier. Those figures come from the named benchmark evaluations; Anthropic’s prerelease examples also include software migrations, electronic devices, and physics problems. TechCrunch reports that an optional faster serving mode costs twice as much, while the lower API prices apply to standard use.

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