A research-backed guide to retrieval-augmented generation, explaining RAG from first principles through retrieval, chunking, embeddings, reranking, GraphRAG, agentic RAG, evaluation, security, and production architecture.
Build a complete Claude-powered knowledge base agent in Python, with API key setup, safe tools, an agent loop, summaries, concept pages, and rebuilds.
A short, practical guide to how AI coding agents are changing software engineering, senior engineering work, code review, and beginner learning.
How to use AI agents without flooding the internet with low-value content. A practical guide to quality guardrails, human review, and workflows worth publishing.
How AI agents can turn e-invoicing and fiscalization into explainable tax compliance workflows while preserving cryptographic trust and human oversight.
A researched guide to why HTML artifacts, visual interfaces, and interactive simulations are becoming a better output layer for AI agents.
A practical 2026 guide to using SKILL.md, AGENTS.md, and CLAUDE.md so coding agents reuse your standards instead of replanning every small task.
A clear 2026 guide to how AI is reshaping science, medicine, energy, work, and governance, with updated evidence and practical arguments.
A beginner-friendly Python guide to build a reliable AI agent from scratch, understand every step, and harden it for production.
A clear number-theory explainer for when 5n ends in 0, why parity matters, and how to check the pattern with divisibility and modular arithmetic.