Like a Bicycle for the Brain — An Agent-Assisted Workplace
The article explores the concept of using AI agents to enhance personal productivity and workflow, drawing a parallel to how a bicycle makes human locomotion more efficient.
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Why it matters
This article highlights the potential of AI-powered personal assistants to dramatically enhance individual productivity and workflow, going beyond traditional productivity tools.
Key Points
- 1Humans on bicycles are the most efficient movers on the planet, surpassing even the condor.
- 2The author has been using a multi-agent AI workspace as their daily driver for two months, with 638 commits and 134K tokens of steering rules.
- 3The key insight is that the AI needs to know the user's conventions, quality bar, and workflow to provide effective assistance.
- 4Each correction becomes a permanent rule, allowing the system to compound and improve over time.
Details
The article discusses the author's experience of using a multi-agent AI workspace as their primary work environment. Drawing a parallel to Steve Jobs' description of the computer as a
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