You are helping me build the following AI agent workflow. ## Goal VEO3 Video Generator Optimization: Submit a text description to generate an 8-second professional video via VEO3, with AI-optimized prompts and automatic Google Drive storage. ## Specification - What it does: Submit a text description to instantly generate an 8-second professional video that is automatically saved to your Google Drive. This process uses AI-optimized prompts to ensure high-quality results via the VEO3 model without manual prompt engineering. - Trigger: Run manually (Manual ยท on demand via web form) - Autonomy: Fully hands-off - Expected setup effort: about an afternoon - Tools/services involved: - Anthropic Chat Model: Prompt optimization and generation - HTTP Request: Calling fal.ai VEO3 API for video creation - Google Drive: Storing and sharing generated videos ## Known pitfalls, handle each one explicitly in your implementation 1. fal.ai generation can take several minutes so implement a robust retry mechanism with exponential backoff for status checks. 2. Google Drive API quotas may be exceeded during bulk testing so add error handling to pause and resume uploads gracefully. 3. Large MP4 files can cause memory issues in intermediate steps so stream or chunk the upload process if possible. ## Reference implementation https://n8n.io/workflows/4767 (workflow template) Fetch and inspect this before building. If it matches my stack, adapt it; if not, rebuild the pattern with my tools. ## Process requirements 1. Before building: ask me which of the listed tools I actually use and what my platform is (n8n / Make / code / other). Do not assume. 2. Adapt the pattern to my answers; do not force the reference stack. 3. Address every pitfall above; tell me how you handled each. 4. Provide a test plan I can run before letting this touch real data. 5. Ask before any step that sends messages, modifies data, or spends money. Source: https://usecasesforagents.com/use-case/veo3-video-generator-with-ai-optimization/ via usecasesforagents.com