TrueU

We integrated Mem0 to create a sophisticated memory layer on top of the base LLM. Every conversation gets analyzed and categorized into one of 8 memory buckets. The system doesn't just store text; it extracts beliefs, values, and personality markers.

The categorization happens in real-time. When a user discusses their upbringing, that goes into 'roots'. Political opinions flow into 'civics'. Career aspirations populate 'work'. The AI can then pull relevant memories when needed without overwhelming the context window with irrelevant history.

We implemented decay algorithms so outdated beliefs naturally fade. If someone says they hate coffee in month one but drinks it daily by month three, the system weights recent behavior higher. This prevents the digital twin from becoming a rigid snapshot. People change, and the memory system accounts for that.

The Mind Canvas visualization gives users a window into their own digital twin. They see memory nodes organized by category, can explore what the AI has learned about them, and identify inconsistencies in their thinking. It's intimate without being invasive.

TrueU's core value is helping people explore contentious topics like abortion, drug rights, and political polarization. This required safety systems that prevent harmful content while allowing genuine exploration of difficult subjects.

We built multi-layered guardrails at the foundational model level. The AI can discuss abortion from multiple perspectives without promoting extreme views. It can explore drug policy without encouraging substance abuse. It keeps users on-topic when conversations drift toward unrelated areas.

The safety system isn't about censorship. It's about maintaining balanced, thoughtful dialogue. Users can challenge their own beliefs and hear opposing viewpoints without the conversation devolving into propaganda or harmful content.

The perspectives feature lets users engage with AI-powered expert panelists representing different viewpoints on complex topics. Want to understand abortion from multiple angles? Talk to personas across the belief spectrum.

We built a dynamic persona system where each expert has distinct personality, knowledge base, and argumentative style. They're not caricatures. They present nuanced, well-reasoned positions that help users understand why people believe what they believe.

The technical challenge was maintaining consistency within each persona while ensuring they respond to user questions naturally. Each persona needs access to the user's digital twin to personalize responses, but must filter that information through their specific worldview.

This feature reduces polarization by exposing users to steel-man arguments rather than straw-man versions of opposing views. Users develop more sophisticated understanding of complex issues because they're engaging with the strongest versions of different perspectives.

Different users need different types of thinking partners. Some want neutral exploration. Others need supportive encouragement. Some benefit from being challenged on their assumptions.

We implemented 3 configurable personality modes for the AI thinking partner. Neutral mode facilitates exploration without judgment. Supportive mode provides encouragement and validation. Challenging mode pushes back on inconsistencies and asks hard questions.

Users can switch modes based on their current needs. Early morning reflection might call for supportive mode. Deep philosophical exploration works better in neutral. Working through a difficult decision benefits from challenging mode.

The language accessibility level stays consistent across modes: elementary to middle school reading level. This keeps the tone approachable and friendly without condescension. Complex ideas get explained clearly, not dumbed down.

The first versions of TrueU struggled with retention. Users would have one interesting conversation, then never return. We needed to understand why.

Through iterative development over 8 months, we discovered the importance of goal-oriented experiences. Users need a reason to come back. We implemented meaningful conversation detection to distinguish sincere engagement from superficial interactions.

The system now recognizes when someone is gaming it with 'hi, hi, hi' type responses versus having genuine conversations. Gamification rewards thoughtful participation. Users build toward something rather than just chatting.

This required rethinking the entire user journey. It's not enough to have sophisticated AI. The product needs to guide users toward experiences that create lasting value. The digital twin becomes more valuable over time, giving users a reason to invest in the platform.

We built TrueU as a Progressive Web App optimized for mobile. Users access it through trueu.ai without downloading anything from app stores.

This removes friction from the onboarding experience. No waiting for downloads. No storage concerns. No app store approval processes that could delay updates.

The PWA delivers an app-like experience with offline capabilities, push notifications, and home screen installation. Mobile optimization ensures the interface works smoothly on phones where most users will engage with their thinking partner.

This architectural choice aligned with TrueU's goal of reducing barriers to self-discovery. The easier it is to start, the more likely people are to engage meaningfully.