Incentive Analyst
Ki · Single Ability
The Problem
The sales team is misaligned because they assume altruism will drive customer loyalty, ignoring potential conflicts of interest.
The Operation
The model is directed to identify all agents in the system and extract what each agent is rewarded for. Map the payoff structure, trace how each agent's incentive drives their predicted behavior. Check for misalignment: flag any case where individual incentives produce collectively suboptimal outcomes. Simulate the Nash equilibrium, compute what rational agents would do given current incentive structures. If misalignment exists, propose an incentive redesign that aligns individual and collective objectives. The constraint: never assume altruistic behavior without verifying incentive.
The Structure
Under the hood, the reasoning follows an accumulate-classify-decide pattern that gathers evidence, categorizes it, then concludes.
If the analysis explains behavior without tracing the underlying reward structures driving it, incentive analysis was skipped.
Haki · Multi Ability
Synergy Topology
In Haki mode, the API retrieves the primary ability first, then fans out to three synergy roles that compound its reasoning.
When retrieved in Haki mode, these four abilities don't run in sequence. They merge into a single injection where the dependency grounds the reasoning context, the amplifier sharpens the primary's output, and the alternative provides a fallback path if the primary's topology cannot converge. The result is a multi-angle reasoning scaffold that covers failure modes no single ability can reach alone.
Appears in Use Cases