[Türkçe] From Trend Discovery to Published Video: Inside Our AI Marketing Engine

# From Trend Discovery to Published Video: Inside Our AI Marketing Engine [Turkish content] ## From Trend Discovery to Published Video: Inside Our AI Marketing Engine Alphazed built a fully automated AI marketing pipeline that discovers trending Arabic education topics on YouTube, scores them for relevance, generates video scripts in Arabic, creates images with DALL-E, synthesizes voiceovers with ElevenLabs, composes videos with FFmpeg, runs kids-safety compliance checks, and publishes to YouTube — all with a human approval gate via Slack before anything goes live. ### The 13-Step Pipeline ``` Step 1: Discover Trends └─ YouTubeAPI: Fetch trending videos in Arabic education category Search queries: "تعليم", "أطفال", "تعلم", "عربي" Extract: title, views, velocity (views per day), comments, subscriber engagement Step 2: Score Trends └─ TrendScorer: Weighted formula Score = (views × 0.35) + (velocity × 0.30) + (topic_fit × 0.20) + (region × 0.10) + (safety × 0.05) Threshold: Only trends scoring >75 proceed Step 3: Ideate └─ ContentIdeator: Generate video concept Input: Trending topic (e.g., "تحفيز الأطفال على تعلم العربية") Output: Video concept, target age, learning objective Step 4: Script Generation └─ GPT-4o: Generate Arabic video script Prompt: "Create a 2-minute YouTube shorts script about [topic] for [age] children in Arabic" Output: Scene-by-scene script with narration Step 5: Hook Variants └─ HookGenerator: Create 3 different opening hooks Variant 1: Story-based opening Variant 2: Question-based