AI is best understood not as a single tool, but as a flexible underlying interface. It can manifest as a chat box for some, but its real potential is in creating tailored workflows that feel native to different roles, like designers or developers, without forcing everyone into a single interaction model.
The concept of "taste" is demystified as the crucial human act of defining boundaries for what is good or right. An LLM, having seen everything, lacks opinion. Without a human specifying these constraints, AI will only produce generic, undesirable output—or "AI slop." The creator's opinion is the essential ingredient.
For over a decade, software development fragmented into siloed roles (PM, Design, Eng) with their own tools. AI code editors are collapsing these boundaries by creating a unified workspace where a single "maker" or a streamlined team can build, iterate, and ship, much like in the early days of computing.
Design is often mistaken for aesthetics, like choosing a border radius. Its real function is architectural: defining the simplest possible system with the fewest core concepts to achieve the most for users. Notion's success, for example, comes from being built on just blocks, pages, and databases, not from surface-level UI choices.
Traditionally, building software required deep knowledge of many complex layers and team handoffs. AI agents change this paradigm. A creator can now provide a vague idea and receive a 60-70% complete, working artifact, dramatically shortening the iteration cycle from months to minutes and bypassing initial complexities.
There are two product philosophies: user-centric, purpose-built tools (like Asana) and system-centric, universal tools (like Notion). Purpose-built apps are easier to start with but inevitably add features and concepts, becoming bloated. Universal apps, built on a few core concepts, are harder to learn but scale infinitely without breaking their core model.
Projects like Rio OS, which recreate old operating systems, show that fundamental UI concepts—windows, text editors, icons—are timeless. Despite massive technological leaps, we are still using the same core patterns established decades ago. This suggests that lasting design focuses on these enduring interaction models rather than fleeting trends.