I will design and build a safe llm agent with guardrails

I design and build LLM agents for customer support, internal knowledge and regulated domains such as healthcare and finance, where wrong answers are a real cost.

What I design:

- Intent classification and safety gates that run before the LLM

- Retrieval (RAG) with category isolation. If no source is found, the agent does not answer

- Explicit dialog states, with handoff to a human agent

- Evaluation: regression test set, pass/fail gates in CI, coverage report

Models: API models (GPT, Claude) or on-prem models served with vLLM.

Packages:

- Basic: review of your current design, written report with fixes

- Standard: full design document and evaluation plan with a test set

- Premium: design, working MVP, regression suite and evaluation report

How we work: in writing. Send your use case, data sources and model choice before ordering. Everything is delivered as files your team can keep.

Not included: model fine-tuning, production hosting.