AI Deep Research & Writing System
Enterprise AI research and writing platform serving 9+ clients (5 biotech firms + 4 internal teams), improving expert workflow efficiency by 70%. Led client-facing demos and guided customers from technical discovery through POC evaluation to production deployment — built on hybrid workflow-agentic orchestration with LangGraph and Dify, NestJS/PostgreSQL backend with WebSocket streaming, and a Microsoft Word Add-in for in-document AI assistance.
Real Usage Examples
Project Overview
Delivered an AI-powered research and writing platform for pharmaceutical and biotech enterprise clients. Led client-facing engagement from initial technical discovery through POC evaluation to production deployment — personally demonstrating the platform to prospective clients, tailoring demos to biotech research workflows and enterprise writing use cases. 9+ clients (5 biotech firms + 4 internal teams) in production, with 70% expert workflow efficiency improvement.
The system uses hybrid workflow-agentic orchestration combining LangGraph and Dify with structured workflow controls, leveraging reasoning model capabilities while ensuring business stability through specialized roles for query decomposition, PubMed research, content generation, and automated fact-checking. Full-stack implementation: NestJS/PostgreSQL backend with WebSocket streaming for real-time AI responses, and React web app with Redux Toolkit alongside a Microsoft Word Add-in using Office.js for in-document AI assistance.
Key Technical Features
User Input - The impact of PD-1/PD-L1 inhibitors combined with chemotherapy/anti-angiogenesis/dual immunotherapy on long-term overall survival and quality of life in advanced non-small cell lung cancer
- • Hybrid Workflow-Agentic Orchestration: ReAct agent system (LangGraph + Dify) with structured workflow controls — leveraging reasoning model capabilities while maintaining business stability through specialized agent roles
- • Multi-Round Human-AI Interaction: Iterative collaboration loop enabling precise refinement of research outputs with human-in-the-loop controls
- • Automated Validation Pipeline: LangChain-based parallel fact-checking with chunk-level verification and severity-graded error detection for pharmaceutical content accuracy
- • PubMed & Multi-Source Research Integration: Automated literature retrieval from PubMed and Google, with structured synthesis agents distilling findings into actionable research content
- • Structured Content Generation: Converting research findings into professional documentation with citations, tailored to pharmaceutical and biotech writing standards
Business Problems Solved
Biotech researchers spent weeks on literature review and content synthesis — the platform reduced this to hours through intelligent agent orchestration, achieving 70% efficiency improvement across 9+ enterprise deployments.
Guided customers through technical discovery, tailored demo delivery, POC evaluation, and production deployment — converting 9+ prospects through personalized demonstrations adapted to each client's workflow.
Pharmaceutical and biotech content requires exceptional accuracy — automated validation pipeline with chunk-based fact verification and severity-graded error detection ensures compliance-grade output quality.
Technical Architecture
Project Metrics
Generated Medical Article
Download the complete medical research article generated by the platform, demonstrating its capability in producing professional pharmaceutical and biotech content.
Competitive Advantages
Deployed across 9+ enterprise clients with automated fact-checking pipeline — demonstrating real-world adoption beyond prototype stage.
Word Add-in integration means pharmaceutical writers never leave Microsoft Word — driving adoption through zero-friction access rather than requiring new tool adoption.
Modular agent design enables rapid customization for new client verticals — same core platform serves biotech research, regulatory writing, and enterprise knowledge management.
Tech Stack
AI/ML & Orchestration
Languages
Backend
Frontend
APIs & Services
DevOps & Deployment
All data, metrics, screenshots, and demos shown are based on publicly available information or anonymized data.