Agent Autonomy and Boundary Simulator

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About This MicroSim

Assess an agent action by consequence, reversibility, data sensitivity, tool scope, and required human approval.

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/agent-autonomy-boundary/main.html" height="702" width="100%" scrolling="no"></iframe>

Lesson Plan

Learning Objective

Assess an agent action by consequence, reversibility, data sensitivity, tool scope, and required human approval.

Activity

1. Predict what the first interaction will reveal.
2. Explore each state and cite visible evidence.
3. 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

1. Chapter source - Full instructional context and specification.
2. p5.js documentation - Rendering-library reference.