Delay
Time lost in waiting, ambiguity, rework, correction, coordination, and decision hesitation.
SLDI Research
The Law of Delayed Intelligence.
SLDI studies intelligence not as speed, but as useful reduction of delay, error, supervision, rework, and decision friction.
Intelligence is not faster output. Intelligence is useful delay reduction.
Useful Reduction
A reduction is useful only when it improves the final decision path, not just one intermediate output.
Hidden Work
Work that looks removed but reappears as checking, supervising, formatting, correcting, escalating, or explaining.
Decision Friction
The resistance between information and action: uncertainty, risk, conflict, missing context, and poor readiness.
Agentic Systems Audit
The first applied track of SLDI for testing whether AI agents actually reduce burden.
Infomechs Research
SLDI sits inside the wider Infomechs ecosystem with LDI, scorecards, notes, and audit methods.
SLDI audit logic
Input stateWhat burden exists before the system is introduced?
System claimWhat delay, error, or cost does the system claim to reduce?
Verification costWhat checking and correction become necessary?
Net effectDoes the total decision path become better?
SLDI is the flagship Infomechs framework
It connects directly to Agentic Systems Audit and LDI. Together, they create a practical way to test intelligence claims in AI, operations, markets, and decision systems.