Pydantic AI in 10 Minutes
Building agents in Python has just become faster and more reliable. In this tutorial, you will learn how to build robust, type-safe AI agents in minutes with Pydantic AI.
Benjamin Falkeborg
AI Engineer & Architect. I designed the personalization architecture for the world's largest jewelry company and automated claims handling for the leading insurance company in the Nordics
Check out the latest posts
How to Profit From Personalization Agents
In this playbook, we will launch a personalization agent capable of generating revenue uplifts. The agent helps you map raw customer data to the recommended marketing experiences across email, website, and paid media.
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.
Deploying Agents: The Easy Way
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.
Let's Build a DeepSeek Agent in Pure Python
In this tutorial, we will build a DeepSeek AI agent in pure Python. The solution is flexible and can easily be extended to a variety of real-world applications.
Product Analytics with LangGraph
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.