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6 in-depth claude articles on setup, real workflows, and production patterns — written for builders shipping with AI.
MCP is the protocol that lets Claude, Cursor, and any LLM call your own tools, databases, and APIs. This guide explains how it works and walks you through building a real MCP server from scratch in Python.
Forget magic words. Prompt engineering is a learnable skill with clear principles. This guide covers chain-of-thought, structured outputs, role prompting, and the patterns that consistently get better results from Claude, GPT-4o, and Gemini.
What if you had a chief of staff, research analyst, content writer, data analyst, and executive assistant — all working 24/7? Build your personal AI agent stack.
A startup used AI to produce the same market analysis, competitive positioning, and board deck that a top consulting firm quoted $150K for. Here is the exact playbook.
Combine Perplexity, Claude, and NotebookLM into a research workflow that turns hours of manual research into structured insights in minutes. The exact stack top operators use.
Turn raw spreadsheets into insights, charts, and executive summaries using AI. Works with ChatGPT, Claude, and Google Sheets. No Python, no SQL, no data science degree.