BitterPillEngineering

You can audit AI instruction sets by running the command "audit setup" to apply the Five Questions framework, which identifies redundancies and classifies rules as CUT, RESOLVE, MERGE, EVALUATE, SHARPEN, MOVE, or KEEP.

Over-prompting in AI systems occurs when accumulated instruction sets contain unnecessary rules and redundancies that act as dead weight, reducing efficiency and increasing token usage. Eliminating this scaffolding leads to better output quality.

You should optimize your AI setup by removing redundant or contradictory rules when your AI systems have accumulated instruction sets that cause over-prompting, leading to inefficient interactions and degraded performance.

The best way to reduce token usage in accumulated AI instruction sets is to audit for over-prompting and eliminate dead weight, which streamlines rules and improves overall AI interaction efficiency.

Reducing scaffolding in AI instruction sets does improve output by operating on the principle that less dead weight allows the AI to function more efficiently, eliminating contradictions and unnecessary rules that hinder performance.

A limitation of auditing AI setups for over-prompting is that it is specifically applicable to AI systems with accumulated instruction sets, meaning systems with minimal or no existing rules may not benefit from the Five Questions framework.