AI Agent Case Study

Treat the agent as a probabilistic collaborator operating inside a control system. Do not present it as a linear CRUD flow or a magical chat box.

Start with evidence

Request or inspect the architecture, tool and permission model, interaction states, approval rules, traces, action history, evals, incidents, metrics, research, screenshots, and decision records. If an artifact is missing, mark the gap.

Never request or publish hidden chain-of-thought. Use user-visible rationale, action summaries, provenance, tool calls, diffs, logs, confidence signals, and outcomes.

Apply SUPERVISE

Read references/supervise-framework.md, then cover: