#tokens
4 posts
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Prompt Caching Read vs Write: When Caching Costs More Than It Saves
A cache read is cheap, a cache write costs a premium. The break-even math, the net-negative case, and the write:read ratio that tells you which one you're in.
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What Actually Costs Money in an Agent Loop
A mechanism-level breakdown of where tokens get spent every turn an agent runs: input, output, cache reads vs cache writes, context bloat, tool overhead, fan-out, and retries.
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Why Subagent Token Counts Are Wrong (and How to Fix Them)
Popular usage tools miscount subagent tokens by replaying the parent thread for each one, and here is how to reconstruct accurate per-subagent attribution from the raw JSONL.
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What is AI Agent Token Economics?
Agent token economics: understanding where tokens are spent, why agent costs spike unpredictably, and the optimization patterns (model cascading, prompt compression, semantic caching) for reducing spend without losing quality.