diff --git a/docs/PRODUCT_MARKET_FIT_ENGINE.md b/docs/PRODUCT_MARKET_FIT_ENGINE.md
index 2b4b429..0405414 100644
--- a/docs/PRODUCT_MARKET_FIT_ENGINE.md
+++ b/docs/PRODUCT_MARKET_FIT_ENGINE.md
@@ -2,8 +2,15 @@
 
 > **Vision:** Vibn is not just a code generator; it is a "Business in a Box" platform. The PMF Engine bridges the gap between "Main Street" businesses (SMBs) and "Silicon Valley" SaaS by automating market research, lead generation, and Go-To-Market (GTM) strategy.
 
+
 ## The Objective
-When a user wants to build a product (e.g., "Software for Dentists"), the Vibn AI autonomously scopes the market opportunity, designs the product architecture, and generates the initial customer list.
+When a user wants to build a product (e.g., "Software for Dentists"), the Vibn AI autonomously executes a complete End-to-End Discovery Pipeline. It guarantees the user receives:
+1. **Real Potential Customers:** A qualified list of verified local businesses (with emails/phones) ready to be pitched.
+2. **Real Competitors:** Identification of the proprietary SaaS incumbents currently dominating that specific niche.
+3. **Software Requirements (SRS):** Database schemas and user flows extracted directly from proven open-source repositories in the same vertical.
+4. **An SEO Content Plan:** Keyword gaps and blogging topics based on where competitors are overspending on Google Ads.
+5. **Website Positioning:** Value propositions and wedge strategies designed explicitly to exploit competitor weaknesses.
+6. **Financials & Pricing:** A calculated MRR model and disruptive pricing strategy based on local TAM and competitor costs.
 
 ## 1. Market Sizing & Lead Generation
 **Goal:** Prove the market exists and give the founder their first 100 cold-outreach targets.
@@ -24,11 +31,12 @@ When a user wants to build a product (e.g., "Software for Dentists"), the Vibn A
 * **Tooling:** Uses **DataForSEO Competitive Analysis / Keyword APIs** (via the `market_seo_analyze` MCP tool).
 * **Output:** Estimated monthly Google Ads spend, top-performing paid keywords, and low-difficulty organic keyword gaps (e.g., "open source dental booking widget").
 
-## 4. Open Source Baselining
-**Goal:** Never start from scratch if a foundation already exists.
-* **Mechanism:** The AI searches GitHub for actively maintained, permissively licensed (MIT/Apache 2.0) starter kits.
-* **Tooling:** Uses the `github_search` MCP tool.
-* **Output:** A list of repositories the AI can immediately clone and modify for the user.
+
+## 4. Open Source Baselining & Architecture Extraction
+**Goal:** Never start from scratch if a foundation already exists, and ensure the domain data models are accurate.
+* **Mechanism:** The AI searches GitHub for actively maintained starter kits. It then explicitly reads the README and source code to reverse-engineer the "Software Requirements Specification" (SRS).
+* **Tooling:** Uses the `github_search` and `github_file` MCP tools.
+* **Output:** Extracts the exact database schemas (e.g., *Camp Sessions, Parent Waivers, Cabin Assignments*) and User Flows required to build a competitive product in this niche.
 
 ## 5. Automated Plan Generation
 **Goal:** Turn all of this research into actionable engineering and marketing tasks.