How To Build A Marketing Personalization Agent
This agent will help you increase customer revenue on the web, via email, and through paid media. It helps determine when to engage customers and how to best communicate with them.
This agent will help you increase customer revenue on the web, via email, and through paid media. It helps determine when to engage customers and how to best communicate with them.
In this playbook, I will provide you with a template for quickly and effortlessly deploying AI Agents for a wide array of business use cases using serverless cloud functions.
This playbook walks you through building an ecommerce product analytics agent using BigQuery and LangGraph. The agent helps identify opportunities to increase average order value through product combinations, category analysis, and bundle recommendations.
In this tutorial, we will build a LangGraph AI Agent designed to interact with Git and GitHub, simulating the workflows of professional developers.
This tutorial will dive into the mechanics behind executing Python code with AI Agents. We will set up and agent with LangGraph, generate and then execute Python code in two distinct ways.