| I recently conducted an experiment using AI agents to send personalized emails to nearly 1,000 developers with public blogs on GitHub. The goal was to introduce them to my CMS product, wisp, and the results were surprisingly. The tech stack included LangChain's LangGraph for building AI agents and LangSmith for monitoring. I used Node.js and TypeScript to create a workflow with three AI agents: 1. WebInfoAgent: Gathered contextual information about recipients 2. EmailAgent: Crafted personalized emails based on the gathered data 3. JobReportAgent: Documented the process and tracked results Key results: - 20% click-through rate (180+ clicks in a single day) - 10+ signups attributed to the campaign - $0.20 cost per personalized email - Median time of 26 seconds per email - Multilingual capability (emails sent in Chinese, Korean, Spanish, and French) The experiment highlighted both the potential and challenges of using AI for outreach. While the results were impressive, it made me think about ethical considerations down the line when this becomes more prevalent. I've since stopped the experiment to figure out what's next. I'm eager to hear your thoughts, experiences, or concerns about using AI for business processes. How do you see this technology shaping the future of work and communication? |