Summary
AI Jason walks through a complete, step-by-step workflow for producing hyperrealistic AI-generated UGC (user-generated content) marketing videos at a fraction of the traditional cost. The video targets founders and growth marketers who want to run UGC campaigns — the kind of authentic-looking social content typically commissioned at $20–$50 per clip — using AI tools instead of human creators.
The workflow centers on Claude’s CDS 2.5 model for video generation and Gemini 3 Pro for character image creation, with the open-source Track plugin providing agents access to TikTok and Instagram trend data without per-platform subscription fees. A key technical insight is a structured JSON-based prompting technique that forces image models to specify granular details — preventing the generic “AI slop” look — combined with a portrait-clone skill that generates a new character matching the vibe of a reference person without copying their likeness.
The creator compares five image generation models head-to-head (including GPT Image 2.5 and Gemini 3 Pro) and finds Gemini 3 Pro delivers the most photorealistic results. The claimed cost reduction lands around $0.20 per second of content versus the $20–$50 human rate. The video also covers how to use Cloud Code or Codex to orchestrate the full pipeline, making this accessible to developers comfortable with agent-based tooling.
📺 Source: AI Jason · Published September 15, 2026
🏷️ Format: Tutorial Demo
