ByteBrief
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A practitioner's log analysis reveals five token-wasting patterns in AI agents: failure loops, haystack retrieval, wrong-tier model assignment, context re-derivation, and feature bloat. Fixes include retry bounds, semantic search, tiered model assignment, state-on-disk checkpoints, and strict scope enforcement. Productive tokens are spent by design, not by accident.
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