Applied AI and agent systems
Research agents, assistants and AI features that survive contact with production traffic, built on the services your business already runs on.
We have shipped LangGraph research agents evaluating people and companies at scale, a coaching assistant, and a first-party Model Context Protocol connector with twenty-six tools behind OAuth. The pattern is consistent: agents call the same service layer your application does, so there is never a second, untested copy of your business rules.
Typically includes
- LangGraph and LLM agent systems in Python or TypeScript
- Model Context Protocol servers, so your product works inside ChatGPT and Claude
- OAuth 2.1 and dynamic client registration on Clerk, Supabase, Auth0 or your own provider
- Evaluation harnesses for features that pass a demo and fail in production
- Security review of the token, tool and permission model