6 articles in this category.
Most teams are forcing LLM agents into deterministic workflows that should be implemented as software. Use AI to build the system, not to execute the system, unless uncertainty is the core requirement.
AI makes interface production cheap, but that does not make product quality cheap. As interface scarcity collapses, the scarce asset shifts to constraint logic, trust architecture, and behavioral coherence.
A rigorous framework for deciding whether your startup needs a traditional CTO, a separate CPO, or unified CPTO leadership as AI compresses build speed and amplifies decision risk.
Cloud-scale AI will keep growing, but Taiwan's strongest software opportunity may be edge-first systems that combine local chips, lightweight models, and workflow-specific reliability.
What Duolingo's last two years reveal about AI-first strategy: massive upside in speed and scale, but real downside when execution looks like replacement instead of augmentation.
When customers say they can wait an hour, what they usually mean is they can tolerate about five minutes before trust starts decaying. The gap between stated and revealed tolerance is where AI products quietly fail.