It's tempting to keep adding rules to a system prompt every time an agent does something wrong. Past a certain length, new instructions can start competing with earlier ones for the model's attention, and specificity gets diluted.
The fix:
periodically prune the system prompt back to what's actually load-bearing. If two rules are pulling in slightly different directions, that tension is often the real cause of inconsistent behavior — not a model limitation.
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