@doublevr
Instead of tying everything to permanent Drive storage, thereβs a much cleaner, smarter model you should seriously consider:
Users upload their video temporarily β SLR processes it (AI script / AI passthrough) β users download the outputs β uploaded video is deleted immediately.
No permanent storage. No streaming. No ongoing cloud overhead.
Reasons why this would be massively better for both users and SLR's bottom line:
Inbound upload traffic is free on basically all cloud providers (AWS, Azure, GCP).
AI script generation costs are proportional to video resolution and length, not file size, so it's predictable and scalable.
The output files (scripts/masks) are tiny (I guess), a few megabytes at most, so egress (download) cost is trivial.
You eliminate the biggest recurring cost: long-term cloud storage and streaming. Permanent storage for massive VR video libraries is extremely expensive over time, whether users actively stream or not.
You also eliminate user complaints about storage quotas, subscription renewals, expiration dates, streaming-only access, and other clunky UX problems.
Pricing could be clean and simple:
Flat fee per AI passthrough generation (e.g., $5β$10 depending on video length and resolution).
Flat fee per AI script generation.
No confusing credit systems, no storage plans, no wasted tokens.
In short:
Users get exactly what they want (processed files they can own and use locally).
No storage limits
SLR massively cuts infrastructure costs (storage, streaming, bandwidth).
You avoid copyright risk from storing third-party content long term.
You simplify billing and increase adoption from casual users who just want to process their collections without monthly commitments.
The current Drive model is bloated, expensive, and frustrating for the majority of users.
This would be a cleaner win for both sides.
Users actually own the product, which is much more ethical than your rental proposals. In fact' I'd go so far as saying your current model is exploitative and user hostile.
Surely you can determine a pricing model that has similar profit margins as your current proposal.