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Academic research

Credit-metered research summariser

Uploads research papers, summarises them, and bills by word count — one-time credit packs and subscriptions running against the same metered balance.

Pipeline

  1. upload
  2. parse PDF
  3. meter credits
  4. summarise
  5. deduct balance

01The brief

What made this hard.

The problem

Per-token cost is real and variable. Flat-rate pricing on a generative product is a way to lose money on your heaviest users.

The approach

Consumption is metered in the domain unit the customer understands — words — and credits are decremented against a single balance regardless of whether they arrived from a subscription or a one-off purchase. Document processing runs in the background with progress surfaced live.

02In production

What it actually does, day to day.

  • Usage-based billing tied to real model cost
  • One balance across subscriptions and one-time packs
  • Background processing with live progress

Stack

Ruby on Rails 7HotwireSidekiqOpenAIStripePDF processingPostgres

04Start here

Tell us what you are building. We will tell you what it takes.

Four short steps, then a real conversation with the engineer who would build it. No sales call, no discovery deck.

ContextScopeShapeYou
What sector are you in?
Where is the project today?

Rather just talk?

Grab 45 minutes. You will be on with an engineer, not a salesperson.

  • No NDA needed to have the first conversation
  • You keep the architecture note either way
  • We will tell you if we are the wrong fit