Product cost control
Design cost controls into the product before usage scales.
Ayneye cost control combines visible plan limits, bounded execution, cost artifacts, retention policy, and honest fallback flags.
Cost-control checklist
Cost control is a product behavior, not only a finance setting. A good video AI product prevents surprise bills by showing what will be processed, how long the capture window is, where artifacts will be retained, and what happens when the scene is too hard for the default CPU-first path. Buyers should see limits before they hit them and developers should receive structured error responses instead of silent throttling.
- Show plan limits in dashboard before users hit them.
- Keep capture windows bounded by default.
- Return cost.json for every execution.
- Expose fallback and review-required states.
- Separate free sandbox from paid reservation flow.
- Do not activate paid checkout until billing is separately verified.
The control loop is simple: estimate the workload, execute a bounded pass, materialize cost metadata, display remaining quota, and require capacity review before higher-volume workflows are enabled. This keeps private beta usage understandable while still giving serious teams enough information to plan a pilot.