Reflections

Reflection

Inspiration

In a world of distractions, it’s hard to stay focused on your dreams. Most productivity tools only add to the chaos with more dashboards, inboxes, and alerts. We believe the best thing to hold you accountable - is you.

So we built Reflections to be different. It uses your own signals - your calendar, your email, your story - to create a blueprint for a more productive you, synthesizing them into meaningful insights every day, and coaching you toward better habits, clearer priorities, and deeper focus long term.

No more noise. Just real reflection and real change.

What it does

Your Reflection Understands Your Focus in Real-Time. Reflections securely connects to your work signals. By passively understanding your screen activity and analyzing communication patterns from your Gmail, Google Calendar, Notion, it builds a private, real-time picture of what you're working on, where your time is going, and when you are truly focused. But Reflection goes beyond data. It begins with a guided conversation to understand the intangibles that make you who you are: your story, your dreams, your personality, and what truly drives you. This forms the core of its coaching intelligence.
Your Reflection Calls You When You’re Unproductive When it senses you've slipped into distraction, it doesn't send a notification you can ignore. A simple, FaceTime-style window appears with your AI twin - a 3D model, modeled after you. Using your own voice, it offers a gentle but firm nudge to get back on track. It’s the voice of your own intentions, helping you stay true to your goals.
Your Reflection Acts as Your Personal AI Coach. Your coach is always available. You can start a voice or text conversation anytime to talk through challenges, set priorities, or set short or long-term goals. The Reflection remembers every session, getting smarter about your goals and work style over time.

How we built it

We built Reflections as a cross‑platform Electron app (Vite + React/TypeScript) with Tailwind and shadcn/ui for a clean, responsive UI and Framer Motion for subtle interactions. Voice and text coaching run through ElevenLabs over WebRTC, and a FaceTime‑style, always‑on‑top popup uses your camera to “call” you when focus slips. The 3D model of the user's face was rendered using Blender and Unreal Engine. In the main process, we sample the screen at user‑set intervals, run Claude function‑calling to classify on‑task vs. distraction and task type, and persist per‑interval stats to Supabase, which power the session/lifetime radar. For signals, we securely link Gmail via Composio, fetch a recent slice of mail, and analyze it with Claude to infer communication patterns, role, and personality - while deep research runs on the Exa API and is summarized and saved. A Claude synthesis step then fuses conversations, email insights, and research into a living system prompt that personalizes coaching over time, with Google sign‑in and a hardened preload bridge keeping secrets isolated and IPC streams reliable.

Sponsors: Composio, Claude, Gemini, Eleven Labs, Postman, Bright Data

Challenges we ran into

3D Modeling - Our vision for Reflections required a deeply personal, visual identity, leading us down the complex path of creating a high-fidelity 3D avatar using Blender and Unreal Engine. The primary challenge was bridging the world of 3D animation with the performance constraints of a real-time Electron app, and the real-time audio streaming. We wrestled with asset optimization and facial animation to ensure the avatar could be integrated seamlessly into the user experience - from the live call popups to the UI - without compromising system performance or app responsiveness.
Reflections isn’t just an app; it’s a live system orchestrating multiple, high-latency processes at once. The moment a user drifts, the app has to instantly classify screen content, generate and stream natural-sounding voice, and trigger the interactive call experience. Achieving a smooth, low-latency interaction that felt natural was a massive hurdle. Initial versions suffered from noticeable lag, forcing us to re-architect our entire event-driven system to prioritize the real-time audio and visual cues without crippling the user's machine with background processing and extreme delays.
One of the biggest challenges was fusing all the disparate signals that we record into a single, coherent "living system prompt" for your Reflection. Engineering this synthesis step to create a system that genuinely personalizes its coaching over time, rather than just acting on isolated data points, was a major data architecture and AI-prompt-engineering problem.

Accomplishments that we're proud of

The "Living System Prompt": A Coach That Genuinely Learns We are incredibly proud of the unified system prompt that serves as the "brain" for the coach. Instead of relying on isolated data points, our system successfully fuses every signal - conversations, email activity, screen activity - into a single, evolving model of the user. This means Reflections isn't just reacting; it's learning. The coaching becomes more insightful, personalized, and effective over time, fulfilling our core promise of a tool that truly grows with you.
3D Assets and Facial Animation We successfully bridged the gap between high-fidelity 3D assets created in Blender and Unreal Engine and a lightweight, performant Electron app. By creating an optimized pipeline for these visuals, we gave Reflections a unique, polished aesthetic that goes far beyond typical productivity tools. Additionally, we’re incredibly proud of the facial animations we were able to produce. This amalgamation of models and facial animations is central to the user experience, making the coach feel more tangible and the interactions more personal and engaging.
A Seamless, Real-Time Coaching Experience Our biggest technical achievement is the highly optimized, event-driven pipeline that delivers the core coaching experience. We managed to orchestrate multiple complex, high-latency processes—real-time screen analysis, ElevenLabs voice synthesis, and the interactive call UI - with minimal lag. When your Reflection calls, the interaction feels genuinely responsive and human, not like a series of disjointed API calls. This seamlessness is what makes the coaching feel natural and effective, rather than robotic.

What we learned

We learned an immense amount about the challenge of integrating disparate, cutting-edge technologies into a single, cohesive experience. On the AI side, we discovered that building a system that truly learns requires a deep focus on data synthesis — fusing structured, unstructured, and conversational data into a single "living prompt." On the visual side, we tackled the steep learning curve of 3D modeling and animation, which gave us a profound respect for the immense technical and artistic challenges that video game developers overcome every day.

What's next for Reflections

We want to continue to expand Reflections by adding more and more features that makes it a truly transformational tool for people looking to achieve their dreams. We’re looking to add features analyzing your productivity by time of day and day of the week, its coaching will become radically personalized to your unique rhythm. Eventually, the goal is for Reflections to be so attuned to your patterns that it can help you architect your ideal work-life balance, ensuring that your drive toward success is both powerful and sustainable.