MandalaStacks

Integrity Tool

Alignment Audit Generator

Use this when values, behavior, and structure are drifting apart. The audit makes the contradictions visible and translates them into repairable moves.

Configured for launch

You leave with a bounded alignment audit instead of a vague sense that something is off.

  • Values, behaviors, incentives, contradiction clusters, and repair moves.
  • Standardized CDS/SROW output with trace metadata for memory ingestion.
  • Draft bundle saved automatically after each run.

Related generators

Alignment Audit Generator

Use this when something says one thing and behaves another way. The audit compares stated values, observed behavior, and system incentives so you can see where repair work is actually needed.

Required: 0/3 complete · Optional remaining: 3 · Completed outside Conversation: 0

Name what you are auditing, then compare its stated values with observable behavior.

Question 1 of 6

Generated Output

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Concept Integrity

PRESERVED

Saved drafts stay available for this guest identity, with local device fallback for resilience.

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What Alignment Audit Generator does

Alignment Audit compares stated values, observable behavior, and incentives to make contradiction clusters available for structural repair. It does not diagnose motives.

Problem class

Personal, team, project, or organizational drift between stated commitments and observable patterns.

Input contract

Declared values, observable conduct, incentives, and a bounded context.

When to use

  • Commitments and conduct appear out of alignment.
  • A team needs a concrete repair conversation.

When not to use

  • To assign guilt or infer hidden motives.
  • For psychological diagnosis or personnel adjudication.

Method stages

  1. List values.
  2. Compare observable behavior.
  3. Inspect incentives.
  4. Name contradictions and repair moves.

Output contract

A provisional alignment map with contradictions and possible structural repairs.

Interpretation guidance

Use observable evidence and invite correction; an apparent mismatch may have context.

Worked example

Synthetic example: A synthetic team says collaboration matters while incentives reward solo delivery; the draft identifies the mismatch and proposes a shared-review checkpoint.

Unresolved unknowns and limits

The generator cannot see private motives or complete organizational history. This is not a values questionnaire or a motive diagnosis.

Privacy and storage

Use only information you can responsibly provide. Storage behavior is shown by the generator after a run; do not treat this page as a guarantee of a particular storage path.

Related questions

  • What facts, assumptions, and unknowns need to stay separate?
  • What would make the next step more responsible?

Related generators

MandalaStacks is an applied system, not a final authority. You retain responsibility for decisions and actions. Reviewed 2026-07-30.