An AI life assistant that starts with your real context.

Generic AI can give generic advice. OXINN is designed to answer personal planning questions using the tasks, events, spending and patterns you choose to keep in the app.

What makes a contextual assistant different?

When you ask “analyse my week”, the useful answer depends on your actual week. OXINN’s intended flow is request interpretation → relevant data retrieval → deterministic calculations → AI reasoning → validation → response.

Facts, patterns and hypotheses should not look the same

A calendar event is a verified fact. “You tend to postpone tasks on crowded days” is an observed pattern that depends on enough historical data. “You may prefer mornings” is a hypothesis unless you explicitly said so. OXINN’s memory model is designed to keep those categories separate.

Short answers first

The assistant should surface the useful conclusion first, then provide detail on request. The goal is not to produce long AI essays; it is to reduce the mental work of connecting information yourself.

Actions require confirmation

OXINN can propose adding or moving tasks, events, notes and expenses. It should not silently modify personal data. You keep the final say before an action is executed.

Examples

• “What part of my week looks most overloaded?”
• “Which tasks do I keep postponing?”
• “How is my discretionary spending changing this month?”
• “What should I move if tomorrow is too crowded?”