Update README.md

README.md

@@ -15,8 +15,6 @@ short_description: AI-powered data annotation powered by webresearch agents
 
 **everyrow annotate** is an AI-powered data annotation and enrichment tool that uses web research agents to label, verify, and enrich datasets at scale.
 
-Upload a CSV, describe what you want to annotate or research, and EveryRow’s agents will search the web, cross-reference sources, and return structured labels or answers for every row.
-
 It’s built for teams who need **scalable data annotation**, **evidence-backed labeling**, and **agentic research workflows** across large datasets.
 
 Agents are tuned on [Deep Research Bench](https://everyrow.io/), our benchmark for questions that need extensive searching and cross-referencing.
@@ -24,3 +22,44 @@ Agents are tuned on [Deep Research Bench](https://everyrow.io/), our benchmark f
 Get your API key from [everyrow.io/api-key](https://everyrow.io/api-key) ($20 free credit).
 
 See [everyrow.io](https://everyrow.io/) for docs and [everyrow-sdk](https://github.com/futuresearch/everyrow-sdk) for the GitHub repository.
+
+## 🧩 What Can You Annotate with everyrow?
+
+everyrow Annotate is designed for **row-by-row labeling and enrichment**, including:
+
+- 🏷️ **Data annotation** – Classify companies, products, or people using web evidence  
+- 🌍 **Web-backed labeling** – Tag rows based on information found across multiple sources  
+- 📊 **Dataset enrichment** – Add funding, industry, location, or other attributes  
+- 🧠 **AI-assisted verification** – Check if claims about an entity are true  
+- 🔎 **Research-based features** – Turn unstructured web info into structured columns  
+
+If your workflow involves *“add labels or attributes to every row in my dataset”*, everyrow Annotate is built for you.
+
+## ⚙️ How It Works
+
+1. **Upload a CSV** with the rows you want to annotate  
+2. **Write an annotation instruction** (e.g., “Label each company’s industry and whether it is B2B or B2C”)  
+3. everyrow’s **AI research agents** search the web, compare sources, and extract structured labels  
+4. Download your **annotated and enriched dataset**
+
+Unlike traditional labeling tools that rely only on human input or static models, everyrow uses **live web research** to support complex, evidence-based annotations.
+
+## 🤖 Agentic Research at Scale
+
+everyrow Annotate uses autonomous AI research agents that can:
+
+- Perform multi-step web searches  
+- Cross-reference multiple sources  
+- Resolve conflicting information  
+- Produce structured, explainable outputs  
+
+This enables **high-quality data annotation** for tasks that go beyond simple classification — especially when answers require investigation, not just pattern matching.
+
+## 🔌 Powered by the everyrow SDK
+
+This demo runs on the **[everyrow SDK](https://github.com/futuresearch/everyrow-sdk)**, which provides APIs for scalable AI data annotation, web research automation, and dataset enrichment.
+
+Get an API key at **[everyrow.io/api-key](https://everyrow.io/api-key)** (includes $20 free credit).
+
+📚 Docs: **[everyrow.io](https://everyrow.io/)**
+