A decision log that records why you overrode the bot, so the next recommendation is better

ماذا تثبّت أو تنشئ

Example: the bot recommends declining an out-of-policy refund; you approve it because the customer has spent $15,000. The log keeps the why, and the bot retrieves similar past decisions before its next recommendation, while keeping policies separate from one-off exceptions.

النص التوجيهي

I want you to build a decision-learning system for the business decisions you help me make.

Whenever you recommend an action and I approve, reject or modify it, capture:
1 - The situation and relevant facts.
2 - Your original recommendation.
3 - My final decision.
4 - What I changed.
5 - Why I made that decision.

If my reasoning is unclear, ask me one short question.

Store these decisions in a structured log that you can reference in the future.

When a similar situation arises, retrieve relevant past decisions and explain how they apply before making your recommendation.

Keep business policies separate from individual exceptions. Never assume one exception becomes a permanent rule.

Start by helping me set up the decision log and choosing one business workflow to test.

التشغيل الأول

1. 1Read https://x.com/Michael_Fenech_/status/2108870909318791377 (credit @Michael_Fenech_).
2. 2Connect a persistent store (for example a Notion database) for the log.
3. 3Paste the prompt and pick one workflow to start with (support, suppliers or sales).
4. 4When you override the bot, answer its one short question about why.
5. 5Review the log monthly and remove outdated or wrong entries.

ما الذي تعدّله

Capture the reasoning, not just yes or no, and never let one exception become a rule by itself.

المصدر

Michael | AI + Agents @Michael_Fenech_ · المنشور الأصلي

غير تابع لـ xAI. لم نكتب هذا النص التوجيهي. تبقى شروط القوالب التابعة لطرف ثالث سارية.