Three principles guide how we build software that turns conversation into computation.
Traditional software treats AI as a feature—a chatbot added to existing interfaces, a suggestion engine bolted onto workflows. We start from a different premise: what if software assumed intelligence from the start?
In POTUS, your Defense Secretary isn't following a script. The AI maintains complex mental models of your leadership style, remembers contradictions in your policies, and adjusts recommendations based on past decisions. This isn't a command tree with voice input—it's software designed around reasoning, memory, and context as core primitives.
When AI can think, software doesn't need to anticipate every path. It can handle nuance, interpret intent, and respond to situations the designers never imagined. This fundamentally changes what's possible in human-computer interaction.
Why do we click buttons? Because computers couldn't understand "show me last quarter's revenue." Why do we navigate menus? Because software couldn't infer what we wanted from context. These aren't features—they're workarounds for machines that couldn't converse.
We rebuild interaction from zero. What's the most natural way to communicate intent? Speech. What's the clearest way to provide complex instructions? Explanation. What's the fastest way to correct course? Conversation.
Users tell POTUS advisors what they want to achieve, not which buttons to press. They explain their reasoning, not select from options. They change their minds mid-sentence, and the software adapts. This isn't an upgrade to existing patterns—it's acknowledging that those patterns were always compromises.
Large teams build large software. Committees create compromises. Traditional game studios need dozens of people because someone has to write every dialogue branch, design every menu, test every path. We work differently.
One person owns the complete vision. AI handles the implementation complexity—generating responses, maintaining consistency, managing state. What traditionally required writers, designers, and QA teams now needs just clear direction and good taste.
This isn't about replacing people with AI. It's about one person with AI achieving what previously required an entire studio. The result: software that ships in weeks, not years. Features that maintain conceptual integrity. Updates that enhance rather than dilute the core experience.