Articles

  1. COMMENTARY Codex enterprise vs Claude Code: an agency take

    OpenAI's Codex enterprise rollout from a practitioner who uses Claude Code daily on real client work. Where each tool actually wins, and who should switch.

  2. AGENTS & RAG The AI Agent Platform Landscape in 2026 (4 Layers, One Decision Framework)

    AI agent platforms aren't all the same kind of thing. Here's how to read the landscape in 2026 across four layers, with a decision framework by operator profile.

  3. APPLIED AI The AI Content Marketing Pipeline That Actually Survives Google

    After March 2026's spam update, single-prompt AI content gets sites deindexed. This is the multi-stage pipeline that keeps rankings, and how I run it.

  4. OPERATING CONCERNS What Employees Are Actually Pasting Into ChatGPT (And What to Do About It)

    ChatGPT Free and ChatGPT Enterprise handle your data differently. Plain-English breakdown on shadow AI, vendor tiers, and building a policy that works for a real business.

  5. FOUNDATIONS AI Hallucination: What It Is, Why It Happens, and How I Manage It in Real Work

    Every major reasoning model exceeded 10% hallucination in 2026 benchmarks. Here's the mechanism, the data, and what I do at the agency to keep it from killing client work.

  6. APPLIED AI The AI Task Router: Which Model to Use for Which Job

    Claude for long-form writing. ChatGPT for data. Gemini if you live in Google. Grok for social research. The routing map I use for client work at an AI agency.

  7. FOUNDATIONS What Prompt Engineering Actually Is (And What Most of It Isn't)

    Prompt engineering basics: what actually works, what's theater, and when to stop prompting and change your architecture. Practitioner take, no hype.

  8. OPERATING CONCERNS The Real Cost of AI in Business: What the Subscription Price Doesn't Tell You

    Subscription tiers, per-token rates, prompt caching, and the hidden 60-70% most operators miss. A practitioner's honest AI cost accounting.

  9. AGENTS & RAG What Is Retrieval-Augmented Generation (RAG)? A Practitioner's Explanation

    What is retrieval-augmented generation? A practitioner's explanation covering the pipeline, chunking decisions, when RAG fails, and when to skip it entirely.

  10. AGENTS & RAG What Is an AI Agent (And What Definitely Isn't)

    Every vendor calls their chatbot an agent now. Here's the precise definition, the minimum-component test, and a clear answer on ChatGPT.

  11. FOUNDATIONS What Is an LLM? (And What It Actually Does When You Type Something)

    LLMs explained without the math or the marketing. What they actually are, what they can't do, and how I use them daily in client work.