Proposing 'tokens per resolved intention' metric for AI efficiency
mb3rtheflame · reddit · 2026-08-29
The post argues that 'relational buffering'—preambles, framing, and clarification loops caused by missing the user's intent—is a hidden source of waste in AI conversations. It proposes 'tokens per resolved intention' as a metric, suggesting a longer, precise answer may be cheaper than a short one that triggers multiple repair turns. The thread serves as a live experiment to test this hypothesis.
Related event: New Metric Measures Tokens Cost per Parsed Intent in AI Chats(2 posts)→
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