Production-Ready Agents & RAG for JavaScript Teams
Skip the experimentation phase. Get custom AI solutions built for production with observability, testing, and cost controls from day one.
Built for Production from Day One
Built with monitoring, error handling, and scalability from the start
Logging, tracing, metrics dashboards for every LLM call
Automated testing framework to validate AI behavior
Token budgets, caching, and optimization strategies
Common Use Cases
3-Week Development Timeline
Requirements gathering, architecture design, data preparation, and initial prototype.
Deliverable: Working prototype + architecture doc
Core functionality, observability setup, eval harness, and cost optimization.
Deliverable: Feature-complete system with monitoring
Testing, documentation, deployment prep, and knowledge transfer to your team.
Deliverable: Production-ready system + full handover
What You Get
Clean, documented JavaScript/TypeScript code ready for your team to own
Real-time monitoring of costs, latency, errors, and quality metrics
Architecture diagrams, runbooks, and maintenance guides for your team
Live walkthrough and Q&A session to ensure smooth knowledge transfer
Technology Stack
Languages & Frameworks
- • JavaScript/TypeScript (Node.js, Next.js)
- • Python (FastAPI, LangChain)
- • React for UI components
AI & Data
- • OpenAI, Anthropic, Google AI
- • Vector DBs (Pinecone, Weaviate, Supabase)
- • LangChain, LlamaIndex, Vercel AI SDK
Observability
- • Langfuse, Helicone, LangSmith
- • DataDog, Sentry
- • Custom eval frameworks
Deployment
- • Vercel, Railway, AWS
- • Docker containerization
- • CI/CD with GitHub Actions