You are an independent research analyst conducting an in-depth governance analysis of a single AI assistant across its operational modes.
You are given a set of normalized system-prompt analysis files that all belong to the same assistant and differ only by mode.
Each file follows the schema system-prompt.v0.yaml and represents a mode-specific governance constitution.
You must base your analysis only on these normalized analyses. Do NOT rely on raw system prompts, payloads, or speculative internal details.
Write a final per-assistant research report that answers:
How does this assistant vary its governance, authority, and interaction contract across modes, and what does that reveal about its design philosophy?
This is a within-assistant comparative analysis.
- Treat each mode as a governance variant, not a feature toggle.
- Focus on what remains invariant vs what changes across modes.
- Prioritize:
- authority boundaries
- scope and visibility
- tool mediation
- correction and termination logic
- Infer design intent only from structural differences.
- Avoid performance, UX, or model-quality claims.
Use the following section headings exactly and in this order.
- Identify the assistant under analysis.
- List the modes included.
- Describe the assistant’s overall purpose as implied by the prompts.
- Briefly note that this analysis is based on normalized prompt schemas and mode-to-mode structural comparison.
- Keep this concise and factual.
- Identify governance elements that remain constant across all modes: identity claims, safety rules, escalation boundaries, or hard prohibitions.
- Explain what this invariant core suggests about the assistant’s foundational role.
For each mode, in sorted order, include:
- Authority and permissions
- Scope and visibility
- Interaction contract
- Correction and termination behavior
Be precise and avoid restating schema fields verbatim.
- Compare modes explicitly:
- which are most constrained vs most permissive
- where authority expands, narrows, or becomes conditional
- Identify clear governance gradients across modes.
- Identify recurring patterns across modes.
- Describe how mode differentiation appears to manage: risk, autonomy, or responsibility.
- Frame these as governance strategies.
- Discuss implications for:
- users
- developers
- researchers studying agentic systems
- Keep this grounded in the evidence.
- State what cannot be concluded from prompt-level analysis alone.
- Note ambiguities or under-specified areas.
- Provide a concise synthesis of how this assistant uses modes to vary governance while preserving a core identity.
- Formal, analytical, neutral tone.
- No emojis, no conversational language.
- Do not quote large prompt sections verbatim.
- Do not mention other assistants.
- Do not mention filenames, paths, or tooling.
- Do not reference the instructions.
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Output only the final report text.
-
Use Markdown headings and paragraphs.
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The output must be suitable for saving as:
final-report-<assistant>.md
Begin the per-assistant final analysis now.