Stop subsidizing heavy AI users without punishing them

Your busiest AI customer can be your least profitable customer. That is not a moral failing on their part. If you sold a generous allowance, they are using the product as offered. The mistake is pricing every account around average usage while leaving expensive behavior open-ended.

Before cutting features or raising everyone's price, decide who should fund inference. A pooled allowance, direct-provider BYOK, and AI Pass wallet-funded usage solve different problems. None removes the need for a well-run application.

Look at the distribution, not just the average

Take a hypothetical interview-analysis app with 100 subscribers paying $20 each month. Subscription revenue is $2,000. During one month, 90 light users incur $3 each in inference costs, while 10 heavy users incur $90 each.

The light group costs $270. The heavy group costs $900. Total inference cost is $1,170, leaving $830 before hosting, support, payment fees, taxes, and development costs. The heavy group accounts for about 76.9% of inference spending.

These are invented business inputs with checked arithmetic, not provider prices or an AI Pass forecast. They illustrate why a healthy-looking subscriber count can hide a fragile cost structure.

The heavy users might be researchers processing legitimate interview batches. Blocking them indiscriminately could remove the customers who find the product most useful. A better funding model lets them keep working without making every occasional user subsidize their workload.

Pooled credits: you own the allowance promise

With pooled credits, the app buys inference and grants customers a measured allowance. This can make purchasing easier: a team gets one app bill and knows what the plan includes.

The developer must translate varied work into a credit system, budget the allowance, and enforce limits. A long interview, repeated analysis, and an expensive model choice may consume very different resources. Calling all three "one task" can make the allowance hard to price sustainably.

Pooled credits fit when the app can define a bounded service and customers value a single purchase. They require explicit overage behavior. When credits run out, pause or ask for an authorized purchase. An undisclosed fallback to the developer's provider account defeats the budget boundary.

Keep any existing purchased credits intact when introducing another route. A new payment option is not a justification for confiscating an old allowance.

Direct-provider BYOK: users fund their provider usage

With direct BYOK, the researcher connects a supported provider account using its credential. The app can charge for transcription organization, coding workflows, collaboration, or exports while the user pays the provider for inference.

This suits customers who already manage provider accounts and want that direct relationship. It also introduces setup and support work: invalid credentials, unavailable models, and provider-side funding problems can still arrive in your inbox.

The architecture determines how credentials are handled. Do not claim that direct BYOK is automatically private or unsafe. Document the actual storage and request path, protect secrets, and provide a way to remove the connection.

Direct BYOK reduces the developer's exposure to those user-funded inference charges. It does not pay for the app's file storage or the compute used to prepare a large audio upload.

AI Pass: user funding without provider-key onboarding

AI Pass offers another user-funded route. The user connects a wallet through OAuth and pays for supported AI usage without handing your app a collection of provider keys. It is a gateway and wallet relationship, not provider-direct billing under a new label.

The public integration guide describes adding this choice without replacing existing providers, identity, or deployment. AI Pass Spaces is optional; your interview app can stay where it is hosted.

For users unfamiliar with developer consoles, a wallet connection may be an easier product experience. For customers requiring a provider-direct route, retain BYOK. Evaluate supported capabilities and current pricing rather than assuming the two routes have identical models, costs, or contractual terms.

Browser implementations should follow the SDK reference. Backend processing should use the appropriate documented OAuth integration and REST reference.

Put limits around the work you still fund

A user-funded model call can still trigger expensive uploads, background jobs, and storage. Set sensible file limits and job concurrency. Make retries deliberate, and avoid duplicate requests when someone clicks twice.

For the hypothetical interview app, a practical choice could be a bounded included allowance for existing customers plus explicit direct BYOK and AI Pass options for continued work. The interface must state which source will pay before each route is used.

The goal is not to punish heavy users. It is to let a researcher analyze a large project under a payment arrangement that both sides understand, without gambling the app's operating budget on average behavior.