Coach AI
Conversational Intelligence for Executive Coaching
Platform
Web Application
Timeline
24 Weeks
Role
Full-Stack Product Engineering
Tech Stack
The Problem
Executive coaches needed a way to scale their methodologies. Their existing workflow relied on static PDFs and manual Zoom check-ins, which limited their capacity to 10-15 clients per coach and created high churn rates due to low engagement between sessions.
Our Solution
We architected a real-time, context-aware AI platform that ingests a coach’s proprietary frameworks and delivers personalized guidance 24/7. The system maintains long-term memory of client goals, tracks progress sentiment, and acts as an autonomous co-pilot.
Key Features
- >Real-time Streaming AI Chat
- >Secure OAuth Authentication
- >Coach Dashboard & Analytics
- >Contextual Memory (RAG)
- >Automated Session Summaries
Engineering Highlights
RAG Architecture
Implemented a Retrieval-Augmented Generation pipeline using pgvector, ensuring the AI strictly adheres to the coach’s methodologies rather than generic advice.
Edge Streaming
Moved the LLM completion generation to Edge functions, cutting time-to-first-token latency to under 400ms globally.
Zero-Trust Isolation
Engineered strict row-level security (RLS) so sensitive coaching session data remains cryptographically isolated.
Business Impact
Increased coach capacity by 4x without sacrificing quality.
Reduced average latency to 400ms.
Zero dropped connections during peak loads.