---
id: "question-ai-option-generation"
type: "open-question"
source_timestamps: ["§ What Is Structured Empowerment?"]
tags: ["artificial-intelligence", "decision-architecture"]
related: ["concept-curated-options", "claim-choice-architecture-limits"]
resolutionPath: "Case studies or technical guidelines on designing AI UI/UX for frontline workers that enforce strict option-count limits while maximizing relevance."
sources: ["tail1"]
sourceVaultSlug: "hbr-seg-tail1"
originDay: 1
articleStem: "hbr-tail-105-fast-growing-better-decisions"
sourceUrl: "https://hbr.org/2026/05/how-fast-growing-companies-can-make-better-decisions"
sourceTitle: "How Fast-Growing Companies Can Make Better Decisions"
---
# How can AI dynamically generate options without violating working-memory limits?

**Open question.** The author notes that [[concept-curated-options|curated options]] can increasingly be **AI-generated in real time** (e.g., an AI assistant diagnosing customer issues). However, the framework strictly limits options to **6–7** to respect human working memory (see [[claim-choice-architecture-limits]]).

It is unclear **how AI systems should be governed** to dynamically generate options while strictly adhering to this cognitive constraint.

**Resolution path.** Case studies or technical guidelines on designing AI UI/UX for frontline workers that enforce strict option-count limits while maximizing relevance.