If your team spends hours each week on repetitive multi-step workflows — research, triage, reporting, content pipelines — an AI agent can take it off your plate.

I build production-ready agents using LangGraph, the same architecture behind my multi-agent Healthcare AI system that integrates live PubMed and FDA databases for evidence-based medical queries. I also work with n8n for clients who want a visual layer on top.

Custom agent architecture (single or multi-agent, depending on complexity)

Stateful workflows with memory using LangGraph

Tool integrations: APIs, databases, web scraping, email, Slack, calendars

Optional n8n layer for non-technical team members to trigger flows

FastAPI backend deployment with logging and monitoring

Documentation and handoff session

Best for: Founders drowning in ops work, agencies wanting to automate research/reporting, SaaS teams adding agentic features to their product.