Am I'm reading too much?

2026-03-02 · Source: Scott's Mixtape Substack · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Emerging Technologies & Innovation · Depth: Intermediate, short

Summary

The author describes an unexpected challenge encountered while extensively using "Claude Code," an AI assistant, which has significantly increased productivity and enabled new projects. Despite these benefits, the author experiences a "diminishing returns to reading" phenomenon, where the constant stream of conversational output from Claude leads to excessive reading, skimming, and reduced comprehension. Drawing an analogy to economic demand curves, the author posits that "Claude Code" lowers the "price of work," leading to an overconsumption of information and a decline in marginal benefit from reading. This excessive communication, a "burden of using Claude Code as a 'thinking partner'," necessitates workflow adjustments. The author is exploring solutions like requesting Claude to be more concise, use ASCII graphics in the command line interface, and integrate diverse modalities to manage the information overload and maintain engagement.

Key takeaway

For AI Engineers or Prompt Engineers extensively using conversational AI like "Claude Code," recognize that your workflow might be generating excessive output, leading to "diminishing returns" from constant reading. If you find yourself skimming or disengaging, consider actively redesigning your interaction patterns. Request your AI partner to be more concise, utilize alternative communication methods like ASCII graphics, and integrate varied modalities to optimize your engagement and prevent information overload.

Key insights

The extensive use of AI assistants like "Claude Code" can lead to information overload and "diminishing returns" from constant reading, necessitating workflow redesign.

Principles

• AI assistants can lower the "price of work."
• Excessive AI output leads to diminishing marginal returns.
• Workflow design fixes are better than working harder.

Method

Adjust AI interaction by requesting conciseness, using ASCII graphics in CLI, and oscillating between modalities to prevent information overload and maintain high marginal benefit from engagement.

In practice

• Ask AI to be more succinct.
• Request AI to use ASCII visuals.
• Integrate diverse interaction modalities.

Topics

• AI Workflow Optimization
• Claude Code
• Information Overload
• Diminishing Returns
• Prompt Engineering
• Human-AI Interaction

Best for: AI Engineer, Prompt Engineer, Software Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Scott's Mixtape Substack.