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I built a tool for AI agents to write to live Shopify stores. They make discount codes. They build customer segments.
A wrong answer is a mistake. A wrong discount code is lost money. I built five guardrails to stop disasters.
- Read-only by default. Merchants turn on write access for each token. This creates needed friction.
- Hard ceilings. Prompts are suggestions. Schemas are physics. Set a 100% limit on discounts. If the AI asks for 250%, the call fails.
- Risk levels. Low risk tools are automatic. High risk tools only create drafts. A human clicks send.
- Typed inputs. No free text. This stops silent failures.
- Full logs. Record every call and token. You need to know what the AI did.
Safety is boring engineering. It is the same work used for human APIs. Assume your AI is wrong.
Where do you draw the line for AI writes? How do you stop many small mistakes from adding up?