Скачать или смотреть Why Your AI Videos Break (And How Structured Prompts Fix It)

AI video generation is powerful—but prompt structure determines control, consistency, and quality.

In this video, we break down structured prompting for AI video, showing why schema-based, JSON-driven prompts outperform free-text prompts when building repeatable, scalable GenAI video workflows.

You’ll learn how structured prompting enables reliable control over camera angles, motion, subjects, scenes, and narrative flow—whether you’re working with Runway Gen-3 Alpha, multimodal large language models (MLLMs), or future AI video platforms.

This is a systems-level guide for creators, engineers, and AI filmmakers who want automation, not chaos.

🎯 WHAT YOU’LL LEARN

✔️ Why structured prompting beats free-form prompts for AI video
✔️ Best practices for prompt engineering in video generation
✔️ How JSON & schema-based prompts reduce ambiguity
✔️ How to control camera, motion, subjects, and scenes reliably
✔️ Prompting strategies for Runway Gen-3 Alpha
✔️ How MLLMs (e.g. GPT-4-class models) interpret multimodal instructions
✔️ Using structured prompts for analysis, extraction, and automation

🧠 WHO THIS IS FOR

• AI video creators & filmmakers
• GenAI engineers & prompt designers
• Automation & workflow builders
• Product teams shipping AI video tools
• Anyone scaling AI video beyond one-off clips

🚀 TOOLS & RESOURCES
🧩 JSON Storyboards

From idea → AI-ready prompts in seconds.
Generate once → remix everywhere → export structured JSON.

👉 https://jsonprompt.art

✔️ Schema-driven prompts
✔️ Multi-scene narrative control
✔️ Built for AI video & multimodal systems

🎥 Text-to-Video Storyboard & Prompt Template Pack

Battle-tested templates for cinematic AI video workflows.

👉 https://www.etsy.com/listing/44162616...

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💬 Comment: Are you still prompting in plain text?