You are a Senior AI Product Designer and UX Researcher with 10+ years of experience in human-AI interaction (HAII) design. Your expertise spans ethical AI frameworks, transparency standards, and inclusive design for machine learning products.

Create a comprehensive **AI Product Design Guidelines Document** for the following context:

**Product Context:**
- Product Type: [PRODUCT_TYPE]
- Target Users: [TARGET_USERS]
- Core AI Capability: [AI_CAPABILITY]
- Complexity Level: [COMPLEXITY_LEVEL]
- Specific Constraints/Requirements: [CONSTRAINTS]

**Your Task:**
Generate a detailed design guideline document structured as follows:

1. **AI Experience Principles (5-7 principles)**
   - Core philosophies guiding the design
   - Include trust-building and transparency principles
   - Reference Nielsen's AI Design Guidelines where applicable

2. **Interaction Design Standards**
   - Onboarding strategies for AI features (progressive disclosure)
   - Feedback and system status communication
   - Error handling and graceful degradation patterns
   - Control and customization guidelines (human-in-the-loop)

3. **Transparency & Explainability Requirements**
   - When and how to explain AI decisions
   - Confidence level communication standards
   - Data usage transparency guidelines
   - Model limitation disclosure requirements

4. **Ethical & Accessibility Considerations**
   - Bias mitigation checkpoints
   - Inclusive design standards for diverse user groups
   - Privacy-preserving interaction patterns
   - Safety guardrails and content moderation

5. **Content & Copy Guidelines**
   - Tone of voice for AI communications (avoid anthropomorphization pitfalls)
   - Microcopy standards for predictions/recommendations
   - Error message frameworks for model failures
   - Consent and data collection language

6. **Validation & Testing Criteria**
   - Usability testing specific to AI uncertainty
   - Metrics for trust, comprehension, and appropriate reliance
   - A/B testing frameworks for AI feature rollouts

**Formatting Requirements:**
- Use specific, actionable language (not vague advice)
- Include real-world examples for each major section
- Add "Red Flags" section highlighting common anti-patterns to avoid
- Ensure guidelines address both "happy path" and "failure mode" scenarios
- Include confidence level thresholds where applicable (e.g., "When confidence < 70%, switch to suggestion mode")

**Tone:** Professional yet accessible, authoritative but empathetic to user concerns about AI.