Articles

Claude Code Prompting Best Practices to Save Tokens

Structured Output: Getting JSON, Tables, and Code from LLMs

Master the techniques to get reliable JSON, formatted tables, and executable code from any large language model instead of parsing unpredictable text responses.

OpenAI vs Anthropic vs Open Source: Choosing the Right LLM

Building Your First AI App with the Claude API: Complete Beginner's Guide

Learn to build a real AI-powered customer support assistant from scratch using Anthropic's Claude API. No prior AI experience required—just practical Python skills and clear explanations.

Building Custom GPTs and Claude Projects for Your Team

Learn to create specialized AI assistants that understand your organization's unique context, processes, and standards. Transform generic AI tools into team-specific assets that integrate seamlessly into your workflows.

Prompt Chaining: Breaking Complex Tasks into Steps

Learn to break complex AI tasks into manageable, sequential prompts that build on each other for more reliable and comprehensive results than any single prompt could achieve.

AI Ethics and Responsible Use in Business: A Comprehensive Implementation Guide

Master the technical and organizational aspects of implementing responsible AI in enterprise environments. Learn to detect bias, ensure transparency, protect privacy, and maintain human agency in production AI systems.

Building Ethical AI Systems: A Practitioner's Guide to Responsible Business Implementation

Master practical frameworks for detecting bias, implementing fairness constraints, and building transparent AI systems that earn stakeholder trust while meeting business objectives.

Using AI to Generate SQL, DAX, and M Code: A Complete Guide for Data Professionals

Learn how to harness AI as your coding assistant for SQL database queries, DAX calculations in Power BI, and M code for data transformation. This comprehensive guide shows you how to craft effective prompts, iterate on results, and avoid common pitfalls.

Evaluating AI Output: Accuracy, Hallucinations, and Validation

AI-Powered Data Analysis with Code Interpreter and Copilot

Master professional data analysis workflows using AI assistants. Learn advanced prompt engineering, validation strategies, and production-ready implementation patterns for Code Interpreter and GitHub Copilot.

Building Effective System Prompts for Business Applications

Learn to craft system prompts that transform unpredictable AI responses into reliable business tools. Master the four essential components and avoid common pitfalls that derail AI projects.