The Xiaozhi hardware is an impressive ESP32-based AI voice assistant capable of offline wake-up, multi-language support, and cloud connectivity. But what if you want your Xiaozhi device to access multiple AI tools, APIs, and services without managing complex integrations on the hardware side? This is where Amazon …

You can stop hoping your Large Language Model (LLM) follows complex instructions. Context Engineering is the strategic practice of curating what enters the model's limited attention budget. To build reliable AI agents, you must master these four deterministic context patterns. This post explores the key insights from …

Introduction Business intelligence has long been the domain of specialists, requiring complex tools and time-consuming analysis. But what if you could simply ask your data questions in plain English and receive comprehensive, visualized answers in seconds? What if you could automate your weekly reporting with a simple …

Introduction Building on AWS is powerful but complex. What if your AI assistant had deep AWS expertise built-in? That's what AWS Skills brings to Claude Code. AWS Skills is a plugin that transforms Claude Code into an intelligent AWS development partner. It understands CDK best practices, estimates costs before you …

In this post, we will explore the observability features of our clickstream solution. Observability is crucial for understanding the health of your data pipeline, identifying issues promptly, and ensuring optimal performance. We'll cover the monitoring, logging, and troubleshooting capabilities built into the solution. …

In this post, we will explore the reporting module of our clickstream solution. This module leverages Amazon QuickSight to provide powerful visualization and analysis capabilities for clickstream data, enabling users to gain valuable insights from their data. Overview The reporting module is engineered to be flexible, …

In this post, we will delve into the data modeling module of our clickstream solution. This module is an optional component that creates data models in the Amazon Redshift data warehouse and calculates reporting dimensions based on the event, session, and user factor tables generated in the data processing module. …

In this post, we will delve into the data processing module of our clickstream solution. This module is an optional component that normalizes raw clickstream events by cleaning, transforming, and enriching them to fit the standard clickstream data schema defined in the solution. It's designed for flexibility, …

In this post, we will delve into the data ingestion service of our clickstream solution. This service is a vital part of the clickstream analytics system. It is designed to be reliable, resilient, high-performing, flexible, and cost-effective. It plays a key role in capturing clickstream data from various sources and …

This post explores the web console module of the clickstream solution. The web console allows users to create and manage projects with their data pipeline, which ingests, processes, analyzes, and visualizes clickstream data. In version 1.1, the Analytics Studio was introduced for business analysts, enabling them to …