Update README.md

README.md

@@ -11,11 +11,10 @@ license: mit
 short_description: Data-informed PM Copilot
 ---
 
-# 🤖 Agent Ken — Data-Informed PM + Social Impact Copilot
-
-Your AI-powered **Product Manager companion** that combines rigorous product thinking with a social worker's empathy and harm-reduction mindset — now powered by **real product analytics** from a Microsoft Fabric data pipeline.
-
-> **This isn't a generic ChatGPT wrapper.** Agent Ken answers with specific numbers from actual data: **5,000 users**, **204K events**, **90 days of metrics**, and **3 trained ML models**.
+# 🤖 Agent Ken — Your AI Companion for Product Management & Data
+An AI assistant that helps you **learn and practice product management** — from strategy, frameworks, and execution to real-world data analysis.
+Agent Ken is also integrated by **Microsoft Fabric** with real product analytics: **5,000 users**, **204K events**, **90 days of metrics**, and **3 trained ML models** (churn, LTV, anomaly detection). But it's not just about data — you can also ask about **PM frameworks, AI & tech, business strategy, and more**.
+> **This isn't a generic ChatGPT wrapper.** Ask about retention, and you'll get actual numbers. Ask about PRDs, and you'll get a structured template. Ask about AI, and you'll get practical insights.
 
 ## ⚡ Powered By
 
@@ -36,7 +35,7 @@ Ask about real product metrics — Agent Ken answers with **specific numbers**,
 * "Any anomalies in our metrics?" → **Nov 24-25 churn spike** (2.8x average).
 * "How did checkout experiment do?" → **+11.9% conversion**, p=0.027, ship it.
 
-### 🧠 General PM (Powered by GPT-5 Knowledge)
+### 🧠 General PM (Powered by GPT-5.1 Knowledge)
 All the PM capabilities you'd expect from a senior product manager:
 
 * 🔍 **Product Discovery** — Jobs-to-be-Done, personas, problem statements, user journeys.
@@ -95,10 +94,11 @@ A synthetic but realistic product analytics dataset simulating a mobile app over
 ## 💡 How to Use
 
 1.  **Type your question** in the chat box.
-2.  **Ask about data** — Agent Ken will cite specific numbers from the Fabric pipeline.
-3.  **Ask about PM** — Agent Ken will use product management expertise.
-4.  **Try the examples** — click "Try an example" for inspiration.
-5.  **Start fresh** anytime with "New Conversation".
+2.  **Upload files** — drop your CSV, PDF, Excel, or other files. I'll analyze them and give you actionable insights.
+3.  **Ask about data** — Agent Ken will cite specific numbers from the Fabric pipeline.
+4.  **Ask about PM** — Agent Ken will use product management expertise.
+5.  **Try the examples** — click "Try an example" for inspiration.
+6.  **Start fresh** anytime with "New Conversation".
 
 ## 🎯 Tips for Best Results
 
@@ -110,6 +110,6 @@ A synthetic but realistic product analytics dataset simulating a mobile app over
 
 ## 👤 About
 
-Built by **Kendrick Filbert** — PM + Social Impact Practitioner
+Built by **Kendrick Filbert** — AI + PM + Social Impact Practitioner
 
-*Powered by **Azure AI Foundry** (GPT-5) · **Microsoft Fabric** (OneLake + MLflow) · **3 ML Models** (Churn · LTV · Anomaly)*
+*Powered by **Azure AI Foundry** (GPT-5.1) · **Microsoft Fabric** (OneLake + MLflow) · **3 ML Models** (Churn · LTV · Anomaly)*