I’ve been a full-stack developer for over a decade, and I’ve reached a point of "AI fatigue." Lately, the market is flooded with Text-to-Video tools that promise to "revolutionize" advertising. But as someone who builds for performance marketers, I noticed a fatal flaw: Generative AI is often too random for ROAS. The Problem: The "Context Gap" in AI Video Most AI video engines treat an ad like a generic cinema scene. They focus on pixels, not persuasion psychology . They don't understand Visual Hooks (the specific 3-second pacing required for TikTok). They miss Objection Handling logic (how to show a product benefit while neutralizing a price concern). If the AI doesn't understand the strategy behind the pixels, the output is just high-definition noise. My Solution: The "Surgical" Workflow in v1.5 While developing AI Ad Generator , I pivoted from simple generation to a Deconstruction-first architecture.…