A working glossary for AI terms that keep moving
Tokens, context, agents, retrieval, and evaluation, defined plainly — a reference to keep open while you…
Category
Category: Guides
-
-
What to check before you put a tool in your workflow
A short pre-adoption checklist: data handling, export options, pricing at scale, and what happens if the…
-
Pricing an AI feature customers will pay for
Cost per request, margin floors, and the packaging choices that hold up once usage grows past…
-
Building a personal AI workflow in one afternoon
Capture, drafting, and review, with three tools and no scripting required to get started today.
-
Content refresh cycles in an AI search world
What to update, how often, and how to tell a genuine refresh from a cosmetic one.
-
Technical checks for LLM crawlability
Rendering, structure, feeds, and the response headers worth checking before you assume a crawler can read…
-
How model context windows change what you can build
Practical limits, retrieval trade-offs, and the cost per document once you are working with a large…