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Economics and quotas

Creator seats, platform capacity, metering, quota behavior, and bring-your-own AI costs.
v1 design baseline. This page specifies intended behavior. Delivery and validation are tracked in the implementation plan; it is not a claim that the platform is already implemented.

Commercial structure

Annual platform subscription
+ creator/developer seats
+ dedicated runtime package
+ included usage
+ controlled overages/additional capacity

Application consumers are generally free.

An organization app used by 4,000 employees should not require 4,000 intrnl creator seats.

Commercial identities

App Consumer
- uses deployed apps
- no paid creator seat

Creator
- creates/edits through AI or console

Developer
- Git/API/advanced diagnostics

Admin
- governance and security

Packaging can initially collapse Creator and Developer if simplicity matters, while preserving the permission distinction internally.

Metering dimensions

Track:

  • Active applications
  • Preview environments
  • Creator/developer seats
  • Build minutes
  • Concurrent builds
  • Runtime requests
  • CPU time
  • Egress
  • Database storage
  • Snapshot storage
  • KV storage/operations
  • Artifact storage
  • Log retention
  • Dedicated cluster capacity

Quotas

Organization-level:

maximum creators
maximum active apps
maximum active previews
build minutes/month
concurrent builds
total DB storage
total snapshot storage
runtime request pool
egress allowance
log retention

Application-level:

runtime memory/CPU profile
DB size
KV size
request rate
body-size limits
outbound hostnames
log volume
preview lifetime

Quota behavior

Default enterprise behavior:

  1. Alert at 75%.
  2. Alert at 90%.
  3. Alert and prevent new optional consumption at 100%.
  4. Do not unexpectedly shut down production apps because of a routine usage overage.
  5. Throttle abusive or dangerous traffic immediately.
  6. Require explicit opt-in for automatic billable overages.

AI costs

For BYO AI clients:

AI inference bill
→ Organization/user AI agreement

intrnl bill
→ platform, runtime, security, storage, governance

A future embedded intrnl AI becomes a separately metered add-on.