What is AI? Plain English, no marketing.

A normal LLM answers your question. An agent runs in a loop: pick a tool, run it, read the result, decide next step. Useful in narrow domains, dangerous when unsupervised.

9 min read

The debate has two loud sides. The middle view, where most of the real transition is happening, gets less airtime. Here's what we see in actual workplaces.

9 min read

AI tools introduced new failure modes that did not exist before. Understanding them is now part of basic security literacy.

8 min read

Vendors will sell you AI-powered everything. Three categories actually pay off. The rest is marketing on top of a SOC analyst's existing toolkit.

8 min read

RAG gives an AI access to your own data without retraining it. Cheaper than fine-tuning, faster to ship, easier to audit. Default architecture for enterprise AI in 2026.

8 min read

If you skip the marketing and the doom, AI is a small set of practical capabilities that you can use today. Here is the honest version.

7 min read

The honest assessment of where AI is delivering in federal civilian agencies, and where the pilots stall before they ship.

7 min read

If you manage people, AI is now a management problem. Here is the practical guide for managers who are not engineers.

7 min read

Lawyers have been sanctioned for AI hallucinations in real filings. Here is the honest map of where AI works in legal work and where it does not.

7 min read

Where AI helps HR work right now, where it creates real legal exposure, and the questions to ask before any AI tool touches employee data.

7 min read

The hosting question shapes everything: cost, security posture, accuracy, latency. Here is the honest comparison.

7 min read

Most AI tools are bought on demo enthusiasm. The contracts that ship to legal are often inadequate. Here is the procurement checklist that prevents the predictable problems.

7 min read

Three different tools for three different problems. Choosing the wrong one wastes months. Here's the decision tree.

7 min read

You do not need a CS degree to write good prompts. You need a frame for what a prompt actually is. Here it is.

6 min read

You can automate ninety percent of repetitive office work with prompts, scheduled jobs, and a couple of free tools. Here are the patterns that actually work.

6 min read

The word "hallucination" sounds dramatic. The reality is more mundane and more useful to understand.

6 min read

All four are useful. They are not interchangeable. Picking the right one for the task saves time and money.

6 min read

Most cost surprises come from one of three patterns. Once you see them, AI cost forecasting becomes straightforward.

6 min read

Sales teams have more AI tooling thrown at them than any function in 2026. Most of it does not move quota. Here is the honest map.

6 min read

Practical AI in finance is real. The compliance overhead is also real. Here is what works at a CFO-organization scale.

6 min read

State and local agencies face the same AI questions federal agencies do, with smaller budgets, less procurement infrastructure, and faster pressure to ship. Here is the honest path.

6 min read

Training a model used 1300 MWh once. Inference for a billion users uses far more. The order-of-magnitude shift in AI footprint is happening now, not five years ago.

6 min read

Most people put data into AI tools they would not put into a public email. Here is the honest version of what is safe and what is not.

5 min read

Marketing departments use these words interchangeably. They are not interchangeable. Here is what each one actually means.

5 min read