From 3d8b4f0a373b7f84422c981f9c5cad2ae7d06814 Mon Sep 17 00:00:00 2001 From: mawkone Date: Thu, 7 May 2026 19:33:33 -0700 Subject: [PATCH] docs(pmf): add compliance, financial modeling, brand differentiation, and AI credit cost estimation to the PMF Engine --- docs/PRODUCT_MARKET_FIT_ENGINE.md | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/docs/PRODUCT_MARKET_FIT_ENGINE.md b/docs/PRODUCT_MARKET_FIT_ENGINE.md index 8e1c859..2b4b429 100644 --- a/docs/PRODUCT_MARKET_FIT_ENGINE.md +++ b/docs/PRODUCT_MARKET_FIT_ENGINE.md @@ -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." * *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. + +## 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.