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docs(pmf): add compliance, financial modeling, brand differentiation, and AI credit cost estimation to the PMF Engine

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mawkone
2026-05-07 19:33:33 -07:00
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docs/PRODUCT_MARKET_FIT_ENGINE.md
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@@ -38,3 +38,17 @@ When a user wants to build a product (e.g., "Software for Dentists"), the Vibn A
* *Vision:* "A $99/mo transparently priced patient engagement widget for dental clinics." * *Vision:* "A $99/mo transparently priced patient engagement widget for dental clinics."
* *Decision:* "Targeting 'booking widget' SEO gap instead of 'practice management'." * *Decision:* "Targeting 'booking widget' SEO gap instead of 'practice management'."
* *Tasks:* Generated tickets for the AI to start scaffolding the Next.js landing page and database schema. * *Tasks:* Generated tickets for the AI to start scaffolding the Next.js landing page and database schema.
## 6. The Missing GTM & Operations Opportunities
To truly provide a "Business in a Box", the PMF Engine also synthesizes the following automatically:
* **Compliance & Regulatory Flagging:** (e.g., Identifying HIPAA/PIPEDA requirements for health-tech or SOC2 for fintech) and automatically injecting those requirements into the Build Plan.
* **Financial Modeling & Pricing:** Using the TAM count and competitor pricing to calculate exactly how many customers are needed to reach $10k MRR, and recommending a wedge pricing strategy.
* **Integration Ecosystems:** Identifying the existing tech stack of the leads (e.g., WordPress) and suggesting native plugins/widgets as an acquisition wedge.
* **Customer Discovery & Sales Scripts:** Generating tailored cold-email templates, starting with "Discovery Call" scripts for founders to validate the product before turning on hard-sales campaigns.
* **Brand Identity Differentiation:** Analyzing competitor aesthetics and generating a contrarian Design System (e.g., warm/consumer-focused vs. sterile/corporate) to save to the Design tab.
## 7. AI Credit Cost Estimation (The "Bill of Materials")
**Goal:** Give the user complete transparency on what it will cost to execute the entire plan.
* **Mechanism:** Before clicking "Build", the AI calculates the complexity of the generated plan (number of services, expected tool rounds, data enrichment API calls, and social media agent runs).
* **Output:** Presents a "Bill of Materials" detailing exactly how many Vibn AI Credits are required to scaffold, enrich, and ship the MVP, allowing the user to top-up their account before proceeding.