Guardrails and Safety for Client-Facing AI — Roadmap Step & Resources
Preventing an AI feature from producing harmful, incorrect or off-brand output in front of a client's users
- Level: advanced
- Estimated time: 1 days
- Roadmap: Forward Deployed Engineer (FDE)
Before this step
Study resources
- Guardrails Documentation (Article) — Anthropic's own official guidance on reducing hallucinations and adding guardrails to LLM applications.
- AI Safety and Guardrails Explained (Video) — A practical discussion of the safety considerations in deploying AI features to real users.
Part of
- AI and LLM Application Building — section
- Forward Deployed Engineer (FDE) roadmap — the full learning path