Tooling
Word Choice Shapes AI Agent Compliance More Than Instruction Logic
A developer working with productivity agents discovered that semantic framing—not logical structure—drives whether AI follows multi-step instructions. 'Dependency' outperforms 'don't' by 15+ percentage points on the same
1 min read
Sourcer/claudeai
A developer working on productivity agents for email, Slack, and document automation has identified a pattern that challenges how we write prompts for AI systems: certain words trigger compliance rates 15+ percentage points higher than logically equivalent alternatives, even when the underlying inst...
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Method & sources
- Source type
- Primary publication (lab/vendor blog) — our analysis + implication
- Source link
- r/claudeai
- Published
- UTC
- Byline
- By the gotcontext.ai team (editorial standards)
- Correction?
- corrections@gotcontext.ai