ai-product-designlisted

# AI Product Design Design the human-system relationship, not only the prompt box. The experience must help users form an accurate model of what the system can do, judge its output, correct it efficiently, and retain control over consequences. ## 1. Test whether AI belongs Define: - user goal and current workflow; - value AI may add: speed, scale, synthesis, prediction, personalization, or automation; - deterministic alternative and why it is insufficient; - acceptable error, latency, cost, and review burden; - affected people, data, objects, and downstream actions; - business outcome and user outcome; - evidence needed to continue investing. Do not invent organization policy, retention, approval roles, architecture, quality thresholds, or launch percentages. Mark recommended controls as proposals and assign unresolved values to the accountable product, policy, security, legal, data, or engineering owner. Prefer deterministic interaction when rules are stable, correctness must be exact, or users can complete the task faster without probabilistic behavior. ## 2. Map capability and risk Read [references/capability-risk-and-trust.md](references/capability-risk-and-trust.md). Create: `Task | AI role | Inputs and sources | Expected quality | Failure modes | Consequence | Human control | Escalation` Separate suggestion, drafting, classification, recommendation, and execution. A system that can generate a plan does not automatically have permission to carry it out. ## 3.