Case Studies
Deep-dive case studies from our research partnerships with production-grade AI
See how we've helped partners solve complex AI challenges
Let Your Agent Choose Its Own Brain
Build Cursor-style Auto Mode where your agent intelligently switches between Haiku, Sonnet, and Opus based on task complexity. Complete implementation with tool-based state updates and middleware routing.
Tech Stack
Key Results
Cost Savings
10x
Implementation
3 files
Complexity
Low
AI-Native Technical Assessment Platform
Implementation of a production-grade multi-agent system using LangGraph 1.0 and LangChain to power real-time AI-assisted technical interviews with adaptive difficulty and comprehensive evaluation.
Agents Deployed
8
Cost Reduction
40%
Response Latency
<2s
Architecture Modernization
Modernizing a legacy TypeScript-based agentic system to a modern Python LangChain v1 architecture, achieving 5-10x throughput improvements, 90%+ cache hit rates, and 50-70% reduction in token costs.
Throughput
5-10x
Cache Hit Rate
90%+
50-70%
Have a similar challenge?