clay-core-workflow-b

# Clay Core Workflow B: Claygent AI Research & Personalization ## Overview Complements the enrichment pipeline (`clay-core-workflow-a`) with AI-powered research and personalization. Uses **Claygent** (Clay's built-in AI research agent powered by GPT-4) to scrape websites, extract insights, and generate personalized outreach copy for each prospect. 30% of Clay customers use Claygent daily, generating 500K+ research tasks per day. ## Prerequisites - Completed `clay-core-workflow-a` with enriched table - Clay Pro plan or higher (Claygent requires Pro+) - Understanding of prompt engineering basics ## Instructions ### Step 1: Add a Claygent Research Column In your Clay table with enriched leads: 1. Click **+ Add Column > Use AI (Claygent)** 2. Choose model: **Claygent Neon** (best for data extraction and formatting) 3. Write your research prompt referencing table columns: ``` Research {{Company Name}} ({{domain}}) and find: 1. Their most recent funding round (amount, date, investors) 2. Any recent product launches or major announcements from the last 6 months 3. Their primary competitors Return results as structured data. If information is not found, return "Not found" for that field. ``` 4. Enable **Auto-run on new rows** ### Step 2: Configure Multi-Output Claygent (Neon Model) Claygent Neon can extract multiple data points into separate columns from a single run: ``` Research the company at {{domain}} and extract: Output 1 (Recent News): The most notable company n...