AI-Native
Trust Equation
Trust = (Transparency × Reliability × Control) / Perceived Risk
The Trust Equation is the core diagnostic for why smart AI products get fired. It is not about capability — it is about whether the user feels safe delegating judgment to the product. Transparency means the user can see how the output was produced. Reliability means consistency over time. Control means the user can intervene, correct, or override. Perceived Risk is the denominator: the higher the stakes of the job, the more trust the product must earn. AI products that feel like black boxes fail on transparency. Products that err unpredictably fail on reliability. Products that don't let users intervene fail on control.