Structured Response Schema Lab¶
Run the Structured Response Schema Lab MicroSim Fullscreen
About This MicroSim¶
Design and validate an output schema containing observation, interpretation, rating, evidence, confidence, recommendation, rationale, citation, and missing-data fields.
How to Use¶
Explore the visual elements and use the controls to compare states, reveal guidance, and explain how the displayed evidence supports or limits a decision. Values shown are instructional examples unless the chapter identifies an empirical source.
Iframe Embed Code¶
<iframe src="https://dmccreary.github.io/ai-persona-testing/sims/structured-response-schema/main.html" height="702" width="100%" scrolling="no"></iframe>
Lesson Plan¶
Learning Objective¶
Design and validate an output schema containing observation, interpretation, rating, evidence, confidence, recommendation, rationale, citation, and missing-data fields.
Activity¶
- Predict what the first interaction will reveal.
- Explore each state and cite visible evidence.
- Apply the model to a new marketing scenario and identify its limits.
Assessment¶
Learners should perform the Create task in the objective and distinguish synthetic output from externally validated evidence.
References¶
- Chapter source - Full instructional context and specification.
- p5.js documentation - Rendering-library reference.