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Research

What makes an ecommerce AI actually safe?

Guardrails, audit logs, claim blocking, and the boring layer of compliance that keeps merchants out of trouble.

JJordan Park · AI SafetyFeb 2, 20268 min read

AI that invents ingredients for skincare, FDA claims for supplements, or delivery dates that don't exist is not just embarrassing — it's actionable liability.

Three layers of safety that must be on by default

  • Retrieval grounding — the model answers from your live catalog, not memory.
  • Claim blocking — banned phrases and compliance regex baked into the system prompt.
  • Audit trail — every tool call, every retrieval hit, inspectable from the dashboard.
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Playbooks

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A practical breakdown of where AI moves the needle on conversion, when it doesn't, and how to measure it honestly.

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Inbox fatigue is real. Here's how to win back carts with on-site nudges, SMS, and branded email — in that order.

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Engineering

Grounding LLMs on live commerce data — how we built the retrieval layer

Pgvector, HNSW indexing, variant-aware reranking, and the per-store memory layer powering Zubby.

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