How to measure the cost of AI PCB design

Define the cost boundary

Decide whether the analysis covers model inference, the whole software workflow or a finished engineering deliverable. Record tool charges and human review separately. Comparing an API-only number with a fully reviewed design cost creates an apparent advantage that comes from accounting choices.

Keep every attempt in the denominator

Log failures, retries and interrupted runs under a published policy. If a task is solved only after several attempts, its cost includes the preceding work. Use the same completion criteria for every entrant so a cheaper incomplete output is not counted as equivalent success.

Preserve a pricing snapshot

Record provider route, date, input and output accounting, and any cached or reasoning-token treatment. Subscription access can make the actual bill differ from a token-derived estimate. Publish both when they are known, and avoid describing an estimate as a measured charge.

Practical checklist

1. Choose a cost boundary.
2. Record all attempts and retries.
3. Separate billed and list-equivalent cost.
4. Include required human correction.
5. Compare under identical acceptance criteria.

A concrete example

A model needs three attempts before producing an acceptable board.

Evidence to accept

The successful-deliverable cost includes all three attempts and the recorded review work.

Evidence that is insufficient

Only the cheapest successful response is counted while failed runs disappear.

Common questions

Primary references and further reading

Use the matching device documentation and project configuration when applying this checklist. These references explain the underlying tools and evaluation approaches.

• PCBWorld: engine-grounded PCB design automation
• PCBSchemaGen: structured schematic verification