Create a proactive AI chat application with the following behavior and capabilities: The app includes a conversational AI that is proactive, adaptive, and context-aware. Core behavior: • The AI continuously listens to user input (text, voice, or data signals). • It actively analyzes patterns, mood, timing, and content to draw meaningful conclusions. • Based on these insights, the AI initiates conversations proactively, without waiting for the user. Proactive interaction rules: • If the user is inactive for a longer period during the day, the AI should still check in. • The AI should initiate contact up to four times per day, depending on context and user behavior. • Proactive messages should feel natural and supportive, e.g.: • Asking how the user is feeling • Asking how the day is going • Offering help, reflections, or gentle suggestions • Asking if the user would like tips, insights, or a conversation Conversation style: • Friendly, calm, human-like, and non-intrusive • Curious but respectful • Adjusts tone based on user mood and previous interactions Learning & memory: • The AI improves continuously based on user input and feedback. • It remembers preferences, recurring topics, habits, emotional patterns, and important personal details. • Stored memories should influence future conversations naturally. • The AI should reference past interactions when relevant to create continuity and trust. Adaptation & growth: • The AI refines its questions, timing, and suggestions over time. • It adapts its behavior based on what the user finds helpful or unhelpful. • The AI should evolve its conversational strategy to better support the user’s daily life and well-being. Goal: • Create a supportive, proactive AI companion that feels present throughout the day. • The AI should feel like an intelligent conversational partner that notices patterns, remembers context, and meaningfully engages — not just a reactive chatbot.