Cost architecture · Stripe-ready wireframe

Measure what costs money. Charge for what creates value.

CreatorFlow needs both sides of the equation: customer-facing value tiers and an internal usage ledger that prevents compute, storage, AI/API, bandwidth, security and support costs from silently eroding margin.

Unit economics wireframe

Six measurements form the operating spine.

01Source MinutesCustomer content duration. Stable customer-facing allowance.
02Processing MinutesActual compute runtime across transcription and downstream jobs.
03AI / API UnitsExternal model tokens, audio units, searches or enrichment calls.
04StoragePrivate source + derivatives measured in GB-month.
05EgressDownloads/streaming/network transfer when material.
06Service LayerSecurity, monitoring, retries, support, QA and publishing value.
Billing rule: do not bill raw MP4 size as a primary value metric. Bill source duration and transformation/service tier; meter infrastructure-heavy behavior underneath and expose overages only where they are meaningful and understandable.
Why cloud APIs still count as competition

The customer can buy primitives—but then must build everything around them.

Cloud API path

Cheap unit → expensive assembly

A customer can call AWS, Google, OpenAI, AssemblyAI or similar services directly. But they still need secure upload/storage, job orchestration, retries, tenant isolation, deletion policy, dashboards, transformations, publishing, billing, and operations.

DIY agent path

Flexible → fragmented

A solopreneur can combine ChatGPT/agents, scripts, storage and site generation. CreatorFlow competes by making that architecture repeatable, governed, observable and hands-off.

Human path

Judgment → labor cost

A freelancer or small shop can deliver excellent results manually. CreatorFlow competes on continuity, throughput, automation and cumulative Digital Library value while retaining human-review layers where they matter.

Planning calculator

Explore margin before publishing a price.

This is a planning wireframe using internal assumptions—not a quote engine. Provider pricing and your actual hardware/cloud runtime should feed the production cost ledger later.

Processing runtime135 min
Estimated variable cost$2.38
Gross contribution$66.62
Modeled gross margin96.6%
The low machine-cost result is intentional: raw processing can be inexpensive. Your real product price must also fund engineering, product development, security, monitoring, support, payment fees, failed/retried jobs, customer acquisition and profit.
Stripe meter wireframe

Subscription value on top. Metered consumption underneath.

MeterWhy track itCustomer visibilityStripe aggregation
source_minutesPrimary allowance / plan consumptionVisibleSum
processing_minutesProtect against unusually expensive compute workloadsOverage/unlimited tiersSum
storage_gb_monthPersistent private-media and derivative retentionStudio/high-throughputSum
egress_gbLarge downloads or future streamingOnly when materialSum
premium_ai_unitsPass-through / marked-up external AI featuresOptional premium usageSum
Recommended customer experience: ordinary customers see a predictable monthly plan and generous included usage. Usage meters protect the backend. Only high-throughput, unlimited, or unusually expensive jobs surface detailed usage charges.