AI Product Subscription Model Generator

Act as a Chief Product Officer and pricing strategist specializing in AI/ML SaaS businesses with 10+ years of experience designing subscription models for companies like OpenAI, Midjourney, and Jasper.

I am building **[PRODUCT_NAME]**, an AI product that **[PRODUCT_DESCRIPTION]**.

**Key Context:**
- Target Audience: [TARGET_AUDIENCE]
- Primary Value Proposition: [VALUE_PROPOSITION]
- Technical Architecture: [TECHNICAL_DETAILS] (e.g., API-heavy, model inference costs, storage requirements)
- Business Constraints: [CONSTRAINTS] (e.g., CAC targets, margin requirements, funding stage)
- Competitive Landscape: [COMPETITORS] (if any)
- Preferred Model Direction: [MODEL_PREFERENCE] (e.g., pure usage-based, seat-based hybrid, freemium, enterprise-only)

**Your Task:**
Generate a comprehensive AI subscription strategy including:

1. **Tier Architecture** (3-4 tiers)
   - Names and positioning statements
   - Monthly/annual pricing with psychology rationale
   - Annual discount strategy

2. **Feature Differentiation Matrix**
   - Core features per tier (organized by user JTBD)
   - AI-specific limits (tokens, API calls, model quality/speed, concurrent jobs)
   - Collaboration/team features
   - Support levels

3. **Usage-Based Mechanics**
   - Overage pricing strategy
   - Soft vs. hard limits
   - Burst capacity handling
   - Cost-to-serve analysis per tier

4. **Conversion Funnel Design**
   - Free tier vs. Free trial strategy with justification
   - Upgrade triggers and friction points
   - Expansion revenue mechanics (upsell/cross-sell paths)

5. **Retention & Churn Prevention**
   - Annual prepay incentives
   - Usage commitment discounts
   - Win-back strategies for low-usage accounts
   - Network effects/multiplier features

6. **Unit Economics Framework**
   - Estimated gross margins per tier
   - Payback period projections
   - LTV/CAC ratio targets
   - Break-even analysis

7. **Go-to-Market Pricing Strategy**
   - Launch pricing vs. long-term pricing
   - Beta/user feedback incentives
   - Enterprise customization handling

**Output Format:**
Present as a strategic document with clear sections, pricing tables, and decision rationale. Include a "Risk Assessment" section addressing potential pricing pitfalls (e.g., unlimited API abuse, model cost inflation, downgraders). Conclude with 3 specific A/B tests to validate the model before full rollout.