Apr 26 • General
One of my AI agents was eating 73% of my daily spend. Here's what happened.
I'm running four AI agents. They all fire on a schedule, handle different tasks, report back.
One of them, Skywatch, was consistently costing more than the other three combined.
Turned out it had a stale WhatsApp session bloating its context window to 256k tokens on every single run. It was dragging that dead weight into each execution without me knowing.
The fix was simple once we found it. Clear the session. Add a 200 word output limit. Force fresh sessions per run instead of inheriting old context.
Cost dropped immediately.
The lesson: when one agent is way more expensive than the others doing similar work, the problem is almost never the task. It's usually stale context, missing session limits, or accumulated history nobody cleared.
Audit your agents the same way you'd audit your code. The inefficiency is usually already there, just invisible.
Anyone else running multi-agent setups and tracking spend per agent?
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One of my AI agents was eating 73% of my daily spend. Here's what happened.
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