Slash your LLM expenses and latency. This guide shows you how to use Prompt Caching in Claude and Gemini to save up to 90% on API costs with Python examples.
A deep dive into enabling and optimizing the Extended Thinking feature in Anthropic's Claude API. I share my experience using deep reasoning to solve complex distributed system bugs and provide practical code examples for your AI-driven dev workflow.
Learn how to eliminate parsing errors in your AI pipelines by using Structured Outputs in OpenAI and Tool Use in Claude. This guide covers implementation with Python and Pydantic for reliable, production-grade JSON data extraction.
Bridge the knowledge gap between LLMs and the real world. This guide covers how to implement Function Calling in OpenAI and Claude using Python to build reliable AI agents.
AI hallucination causes language models to generate confident but factually wrong answers — a real problem for any app built on LLMs. This guide covers what causes hallucinations, the common types you'll encounter, and practical Python techniques to detect and reduce them in your own projects.
This guide simplifies integrating the Claude API into your applications using the official Anthropic Python SDK. It addresses common API integration challenges, compares different approaches, and provides practical code examples for setup, authentication, and sending both non-streaming and streaming messages to Claude.
A practical walkthrough for integrating Claude AI into your applications — from API key setup and SDK installation to production configuration and monitoring. Includes Python code examples for streaming, multi-turn conversations, retry logic, and cost tracking.
After 6 months of using AI tools across a real content pipeline — blog posts, social media, and email campaigns — here's what actually works, what doesn't, and how to integrate AI as a production content component rather than a novelty.
Using AI tools like ChatGPT or Claude without thinking about data privacy is a common but avoidable risk. This guide walks through practical techniques — anonymization scripts, API access, and local models with Ollama — to keep your sensitive data off third-party servers.