Krieger argues that while AI dramatically speeds up coding—enabling full rewrites in hours and rapid iteration—it struggles with the hardest part of product design: ruthless simplification. Models excel at adding features but lack the taste and judgment to cut what doesn’t serve core user needs—a discipline he likens to cultivating 'indoor trees': constrained, intentional growth yields healthier outcomes. He champions 'agent-native' design, where software empowers AI agents to act with human-level scope and accountability—demanding new architectural rigor, especially around APIs and verification. His team at Anthropic Labs embraces small, conviction-driven teams (often co-founder pairings), avoids premature scaling, and treats proof of *use*—not proof of work—as the true unit of value. Navigating enterprise demands requires agility: toggles, decisive cutover from legacy systems, and constant pruning. Ultimately, the defining question for 2026 is not just building personal agents—but designing trustworthy, usable agent topologies that scale across individuals and organizations.