The workbench · free build, work shown
How to add AI to a real product safely.
A wrapper where AI proposes, a person decides, and every decision is hashed and logged.
Everyone wants AI in their product. The ones who do it badly let it act on its own and hope. I built a wrapper that lets AI help without ever being trusted blindly, in about two hundred readable lines. Here is the pattern.
Six parts, and the whole thing is a discipline, not a technology.
- AI proposes, it never decides. The AI produces a suggestion, and that is all it can do. It cannot act.
- A human decides. A person reviews the suggestion and approves or rejects it. The decision is always a human’s.
- Fingerprint every decision. Each decision is hashed, so you have a tamper-proof record of exactly what was decided.
- Keep an audit trail. Who decided what, and when, is logged. In a regulated business that trail is the point.
- Nothing acts on its own. There is no path where the AI’s output takes effect without a human in the middle.
- Show the reason. The AI’s suggestion comes with its reasoning, so the human is approving something they understand.
This is the honest answer to is it safe to use AI here. Yes, if the AI proposes and a person disposes, and everything is logged. It works in any product touching real decisions. The six parts above are the whole wrapper, free to copy.
From a bank-grade product build. Everything described here is something I actually run; nothing on this bench is theoretical.