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# Anti-AI patterns

Read this when the draft feels generic, polished, suspiciously tidy, or "AI-ish"

## 1. Essay transitions

Common failures:
- وهنا تكمن النقطة الأهم
- ومن هذا المنطلق
- بناءً على ما سبق
- دعونا نتعمق
- والآن بعد أن عرفنا...
- والأهم من ذلك
- والسؤال الحقيقي هنا هو...

Replace them only if a transition is actually needed. Often the next thought can simply begin

## 2. Quote-card wisdom

Red flag:

> المشكلة ليست في الأداة، بل في طريقة استخدامها

The sentence may be true, but it sounds manufactured because it compresses everything into a neat maxim

Prefer the actual observation:

> أنا هنا خدت بالي إن المشكلة أصلًا مكانتش في Claude. أنا كنت بتعامل معاه بطريقة محدودة جدًا

## 3. Contrast addiction

One contrast can be strong

Five versions of:

> مش X، لكن Y

make the model visible

Vary the thought shape. Sometimes state the point directly

## 4. Perfect paragraph rhythm

If every paragraph is two lines and ends with a punch, break the pattern

Human thought is not metrically uniform

## 5. Fake conversational slang

Adding `بص`, `يا صاحبي`, `بقى`, or emojis to formal prose does not make it spoken

Fix the sentence construction first

## 6. Generic professional verbs

Watch for vague language such as:
- تعزيز
- تمكين
- الارتقاء بـ
- الاستفادة من الإمكانات
- تحقيق نتائج أفضل
- تحسين الكفاءة

Use the real action instead:
- تطلع objections من reviews
- تقارن الـ ad بالـ landing page
- تجمع VOC
- تراجع الـ message match

## 7. Duplicate explanation

AI often states the point, paraphrases it, then summarizes it

Once the reader got it, move on

## 8. Fake humility or fake certainty

Do not add:
- "يمكن أكون غلطان" unless the speaker would really use it there
- "الحقيقة التي لا يخبرك بها أحد"
- "وده مؤكد 100%" without basis

## 9. Generic CTA

Avoid automatic endings such as:
- شاركني رأيك
- ماذا تعتقد؟
- هل أنت مستعد؟

Use a real continuation of the thought, a specific question, or no CTA at all

## 10. Sudden marketing voice

A post that sounds personal for 80% and then says "يسعدني أن أعلن" has broken character

Promotion must remain in the same speaking voice

## 11. Over-cleaning

Do not remove every repeat, correction, aside, or long sentence

The goal is not minimal word count. The goal is a believable speaker

SHA-256: ff25e9ff3822b13d8da177109dfe245297171487a3c6e094416c2f15e9e01e66