Article by Michał Krztoń discussing the design challenges of integrating AI agents into products requiring reliability. The text cites 2025 research from Thinking Machines Lab indicating that infrastructure conditions can cause variation in model outputs even with temperature set to zero. The author argues for mapping workflow steps into three categories: deterministic (rules-based), fuzzy (interpretation), and irreversible (high-impact). Examples provided include Routine Labs, which uses AI to build automations but executes via deterministic workflows, and Zauber, which flags data discrepancies for human review rather than guessing. The piece concludes that product design should focus on defining boundaries where AI autonomy ends and human control or verified logic begins. https://uxdesign.cc/your-ai-is-non-deterministic-but-your-product-cant-be-3ec2a0cf870c?source=rss----138adf9c44c---4