Page 3 of 8~96 min topic

Structured outputs & JSON mode

Learn the controls and knobs

Each structured outputs control is a hypothesis about a metric under a workload—not a synonym for quality on the invoice extractor API.

~12 min this pageControls

1Learn the idea

Read

Control map

Primary knobs for structured outputs: schema strictness, required fields, enums, retries, validators, additionalProperties.

Write a sheet for the invoice extractor API with columns: control, current value, predicted benefit, predicted cost, rollback trigger. Fill it using this topic’s real tension: Strict schemas simplify downstream code but can make partial answers harder. Large nested schemas consume tokens and reduce model reliability. Retries can repair transient failures but may duplicate side effects unless generation and execution are separate.

Change one structured outputs family at a time. If you move two knobs and the invoice extractor API improves, you learned a cocktail, not a cause—and you cannot roll back surgically.

Read

Product exposure

End users of the invoice extractor API should see only safe dials related to structured outputs. Infrastructure limits, private prompts, and policy thresholds stay server-owned. A user-facing control that bypasses those limits is a vulnerability dressed as UX for structured outputs.

Read

Make it operational

Publish the structured outputs control sheet next to the invoice extractor API runbook. On-call should see which knob moved in the last deploy without reading chat archaeology. Unknown structured outputs knobs are unowned knobs.

Also pin one numeric memory from this structured outputs chapter: if 970 of 1,000 outputs parse and 930 pass the schema, parse rate = 97% but end-to-end schema-valid rate = 93%; report both That number is not decoration; it is a template for how claims about structured outputs on the invoice extractor API should look in design docs. Scoped specifically to structured outputs / invoice extractor API / controls-and-knobs.

Read

Common mix-ups

People confuse structured outputs with neighboring buzzwords when debugging the invoice extractor API. Before changing prompts, ask whether the broken stage was evidence gathering, the structured outputs judgment itself, validation, or the product action. Fixing the wrong stage creates folklore (“we tried structured outputs and it failed”) that blocks the next team on the invoice extractor API. Scoped specifically to structured outputs / invoice extractor API / controls-and-knobs.

Read

Rehearsal (structured-outputs/controls-and-knobs)

Write a five-line artifact for this page: goal, inputs, check, owner, stop rule. Invent one fluent failure that the check would catch. Keep details specific to structured outputs rather than generic AI advice.

Read

Rehearsal (structured-outputs/controls-and-knobs)

Write a five-line artifact for this page: goal, inputs, check, owner, stop rule. Invent one fluent failure that the check would catch. Keep details specific to structured outputs rather than generic AI advice.

Read

Rehearsal (structured-outputs/controls-and-knobs)

Write a five-line artifact for this page: goal, inputs, check, owner, stop rule. Invent one fluent failure that the check would catch. Keep details specific to structured outputs rather than generic AI advice.

Go deeper

Before you start

Why this matters

From [schema strictness, required fields, enums, retries, validators, additionalProperties], pick one control for structured outputs on the invoice extractor API. Predict which metric rises and which cost rises if you increase it.

In the wild

See how this idea shows up as a product and a company — then come back to the lesson. Skills transfer across vendors.

Check your understanding

Page assessment

Answer from memory. Completion is saved from this evidence, not from opening the next page.

1. What is one idea from this page you would apply, and what evidence would you check?

All responses are required.