Define a tool once as an MCP server and any MCP-compatible client, any model, any framework, can discover and call it with zero custom integration code per model.

Check out this practical list of Python projects covering AI automation, machine learning, APIs, dashboards, data analysis, and portfolio-ready apps, with guides, demos, repositories, and datasets.

Learn what to reach for when retrieval-augmented generation fails in production.

This is an opinion-based look at the AI coding subscription plans that I think give developers the best value for their money, from token and usage-based plans to…

Fine-tune open language models locally on your Mac using MLX. No cloud GPUs or costs required.

This article covers five concrete agentic workflows, one for each major stage of a data science pipeline.

In this tutorial, we will show you how to use Gemini to create Google Sheets, build a useful table, generate formulas, analyze data, and improve the spreadsheet with…

Take a practical look at multimodal, any-to-any systems for vision-language reasoning, speech interaction, document intelligence, real-time assistants, local deployment.