AI & Software · 2024 · in progress
heyveda ai
Your personal day-to-day AI companion engineered for intuitive, conversational wellness and task mastery.
01 / Overview
A personalized companion interface blending natural language interaction with context-aware productivity and daily wellness routines. Built to provide users with a private, structured assistant that adapts to personal daily habits.
02 / Problem
Most productivity and wellness assistants are fragmented across disjointed applications, lacking unified contextual memory and natural conversational interaction.
03 / Contribution
Conceptualized the platform architecture, designed conversational UX flows, prompt pipelines, and modern full-stack web interface.
04 / System architecture
Physical + hardware
- Cloud-native serverless architecture running on low-latency edge nodes
- Supabase PostgreSQL relational storage for encrypted user state and preferences
Firmware + software
- Next.js full-stack framework with React Server Components
- LLM API orchestration with structured schema validation and streaming responses
- Contextual conversation window memory management with token budgeting
Signal flowEdge frontend -> API route orchestration -> Vector embedding / relational store -> LLM reasoning provider.
05 / Engineering decisions
- 01Adopted streaming response architecture to keep perceived user latency under 400ms.
- 02Enforced strict schema validation (Zod) on structured assistant responses for rock-solid UI rendering.
06 / Results + constraints
Observed results
- Functional conversational prototype supporting contextual sessions and structured daily agendas.
- Responsive dark-mode UI with fluid streaming typographic animations.
Current limitations
- Local on-device inference model integration is still in testing.
- Multi-modal voice transcription is currently undergoing latency optimization.