Blog

Thoughts on Python, Agentic Systems, AI Projects, and Web Development.

• What Are Agentic Systems? A Clear Explanation for Developers
  2025-11-18

  A simple explanation of what 'agents' really are, how they work, and why they're different from normal LLM chatbots.

• What Is Retrieval-Augmented Generation (RAG)? A Practical Breakdown
  2025-11-16

  RAG is one of the most important AI patterns. Here’s the clearest, no-nonsense explanation of how it works.

• The Planner–Executor Pattern in AI: Explained Simply
  2025-11-15

  The core design that powers modern agent systems, including my own Bob + Chad setup.

• Understanding Vector Embeddings (The Real Way)
  2025-11-14

  A simple mental model for embeddings that actually makes sense without maths.

• LLM Studio: What It Is and Whether You Actually Need It
  2025-11-12

  Everyone on YouTube is talking about LLM Studio. Here’s what it actually does, what it doesn’t do, and when you should skip it.

• LangChain: Great Idea, Terrible Reputation — Here’s Why
  2025-11-11

  LangChain exploded in popularity, then the dev community turned on it. Here’s exactly what happened and when you should or shouldn’t use it.

• LlamaIndex: The RAG Framework That Actually Makes Sense
  2025-11-10

  If you need a structured way to build retrieval systems, LlamaIndex is the cleanest option right now. Here’s why.

• Weights & Biases: Why Serious AI Builders Use It
  2025-11-09

  W&B is the secret weapon behind proper training runs, experiments, and model evaluation. Here’s what it does.