Set up model routing for this repo: 1. List this month's task types and how long each answer was. Table only, change nothing 2. Anything that ended past 128K goes to Gemini 4 Argon as one call, no chunking > Terminal and shell work stays on Opus 5.5 > Fixes that failed twice go to GPT-6 Astra > Cache the repo context on Argon so every run reuses it 3. Price each task type at Argon's intro rate next to what it costs today 4. Print the routing table with the price column, then wait for my yes before switching anything.
This clip was generated with GPT-6 Astra by OpenAI. The prompt on this page is the exact text used to create it.
The example was generated with GPT-6 Astra using: 4:5 · 0:25 · Advertising · Realistic · Minimalist. Reusing these settings gives the closest match.
Copy the prompt as-is first, then change the subject while keeping the camera, motion, and lighting terms. Video models are sensitive to wording, so expect a few runs.
Yes. Prompts work best as starting points — swap scenes, adjust pacing terms, or change the aspect ratio to fit your project.