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Claude's 'Max' effort setting analyzes projects instead of generating new plans

A user experimented with Anthropic's Claude model, testing its 'effort' setting across low, high, and max levels. The 'low' and 'high' settings provided marketing plans for the user's app, Savyit, with 'high' offering a more nuanced response. The 'max' setting, however, did not generate a new plan but instead analyzed the user's existing project files, identifying missed details and suggesting improvements based on the project's current state. This 'max' effort level was significantly more expensive due to increased tool usage and file analysis, highlighting the trade-off between depth of analysis and cost. AI

IMPACT Demonstrates how different effort settings in LLMs can lead to distinct interaction modes, from content generation to in-depth project analysis.

RANK_REASON User experiment and analysis of an existing product feature.

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Claude's 'Max' effort setting analyzes projects instead of generating new plans

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6 / 100
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Commentary
User experiment and analysis of an existing product feature.
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product
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High
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Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

  1. Towards AI TIER_1 English(EN) · Shivachandra ·

    I Asked Claude the Same Question on Low, High and Max. Only One Looked at My Project.

    <h4>What the effort setting does, what it costs, and how I use it now</h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*MpUBo-9Lpae3NdxhMwXgfA.png" /></figure><p>Max read my answer back to me.</p><p>I’d asked Claude a simple question: <em>“How should I marke…