Claude + n8n + RAG ops agent jobs: how we evaluate them
A practical eval for marketplace briefs that mix n8n, Claude, and RAG for business ops.
Written by Where’s My Pallet
Where’s My Pallet is an AI agent systems studio. Alex leads engineering and product systems; Jordan leads operations and workflow fit. We ship production agents inside tools teams already use.
Alex Morgan · LinkedIn · Where’s My Pallet
Direct answer
We evaluate: source of truth, tool permissions, RAG freshness, human gates, and failure mode. Tool spaghetti without ownership is not a production agent.
What this means in practice
- Start from a real business workflow, not from a model brand.
- Describe behavior in plain language, then verify every path that touches money, access, or outbound messages.
- Keep a human path for non-standard cases.
What good looks like
- Clear standard vs non-standard routing
- Knowledge base the assistant can actually use
- Session memory only where intended
- Secrets never in client JavaScript
- Logs and a stop switch
What bad looks like
- "It works in the preview" without production checks
- Tokens and webhooks left public
- No human handoff for exceptions
- Thin machine-translated pages sold as localization
How Where’s My Pallet handles this
Where’s My Pallet is an AI agent systems studio: we take vibe prototypes seriously, then harden them into production systems with gates, tools, and ownership. Related: production AI agents, approval gates.
FAQ
No. It is a fast way to get a working surface. It becomes dangerous only when it is treated as finished production.