What is an AI workload?
Define the functional and nonfunctional shape of an AI system.
AI Engineering tool
AI Workload Design Scorecard
Turn an AI product idea into a workload and architecture checklist before choosing a model or provider.
Runs in your browser with editable illustrative assumptions. It does not call a model, send entered content to a server, or produce a current market quote.
Interactive calculator
AI workload design scorecard
Start with the work the system must do, not the model or provider. This scorecard turns a vague AI idea into an architecture conversation.
Design checks surfaced5 / 5
Starting architectureSynchronous model workflow with explicit success criteria and fallbacks.
Before choosing a model or deployment, add traffic, input/output token ranges, success criteria, fallback behavior, and an evaluation plan. This tool is a design prompt, not an approval or security control.
Starting values are illustrative defaults you can edit — not live ComputeTape Market benchmark prices. Replace them with a real quote.
How to use it
Make the assumption visible
Describe the work, constraints, data boundary, and failure tolerance first. A useful architecture follows from those requirements; it does not begin with a model name or a price quote.
- Change one assumption at a time when comparing designs.
- Record the prompt, workload, or permission version beside the result.
- Treat the output as a planning aid and validate it against representative work before making a production decision.