Representative Architecture
AI Assisted Development
Streaming response UI
Application Screenshot
AI Assisted Development
Suite of web applications leveraging AI for content generation, code assistance, and intelligent automation workflows.
Overview
Collection of production web applications integrating large language models for practical business workflows including content generation, intelligent automation, and domain-specific knowledge systems.
Challenge
Integrating AI into production applications requires careful prompt engineering, cost management, streaming architecture, and reliability patterns.
Approach
Built reusable AI service layers with streaming responses, token budgeting, response caching, and structured prompt templates.
Architecture
Next.js with server-side AI processing. PostgreSQL for persistence. Redis for response caching. Structured prompt versioning system.
Implementation
Streaming chat interfaces with Vercel AI SDK. RAG patterns for domain knowledge. Admin dashboards for prompt management. Usage analytics and cost monitoring.
Results
Multiple AI-powered tools in production with sub-2-second response times and 99.5% uptime.
Architecture Visuals
Representative architecture diagrams. Actual facility photographs and confidential diagrams are not published.
Representative Architecture
AI Chat Interface
Streaming response UI
Application Screenshot
Representative Architecture
Usage Analytics
Token usage and cost tracking
Dashboard
Lessons Learned
- Streaming responses dramatically improve perceived performance
- Prompt versioning is as important as code versioning
- Cost monitoring must be built in from day one