I will develop ai agents n8n, llm workflows, automations zapier

Most AI projects don't fail because of the AI they fail because nobody built the system around it. An agent is only as useful as the workflows, APIs, and infrastructure behind it, so that's where most of my work happens: not just wiring up a model, but making sure it holds up once real users are hitting it.

I work on internal AI assistants, process automation, RAG pipelines, and AI-powered products anything that needs to go from "cool demo" to something the business actually runs on.

Things I build:

• AI agents and multi-agent workflows
• Business process automation (n8n, Zapier)
• RAG applications
• AI chatbots and knowledge assistants
• Document processing pipelines
• Browser automation
• Custom backend APIs and full-stack AI apps

Stack: Python, FastAPI, LangGraph, LangChain, OpenAI/LLM APIs, n8n, Zapier, React/Next.js, PostgreSQL, MongoDB, Docker, AWS, Playwright.

What you get: clean, maintainable code, architecture that doesn't fall over as usage grows, and enough docs/tests that this doesn't become a black box later.

Not sure which package fits? Message me first I'll tell you honestly what you need, even if a simpler solution is cheaper.