By Cortexa Consulting
Ground Truth
What's real in AI — in five minutes, not five hours. The honest, evidence-led read for the people who have to explain AI to clients. No hype, every claim sourced.
- Explainer5 min read
Vector search is just a map of meaning.
“Nearby means similar.” Embeddings turn text into coordinates, and a vector database finds the closest ones — the quiet engine behind RAG's open book.
- Explainer5 min read
MCP is just a universal plug.
“Can the AI use our tools?” The Model Context Protocol (MCP) is the common plug that lets it — one standard port, not a custom wire for every app.
- Explainer5 min read
Which AI agents actually ship?
Plenty of AI agents dazzle in a demo; far fewer survive real work. Here's how to tell a production-ready agent from a supervised experiment.
- Field Guide18 min read
AI, Without the Hype — The Cortexa Field Guide.
Nine explainers, one decision tool: when a client asks about AI, here's what's real, what to scope, and the honest version — chapter by chapter.
- Explainer5 min read
What “multimodal” really means for a campaign.
Multimodal AI works in more than text — it sees images and hears audio. Here's where that genuinely helps a campaign, and where it's still a party trick.
- Explainer5 min read
Evals, in plain English.
An eval is the test you run before an Artificial Intelligence (AI) feature ships — and every time after. It's how good gets measured, not eyeballed.
- Explainer5 min read
A great demo isn't a shipped product.
A demo proves Artificial Intelligence (AI) can work once. Production means it works every time — safely, at scale. That gap is where most projects stall.
- Explainer5 min read
“Prompt engineering” is mostly just clear writing.
“Prompt engineering” isn't secret magic words — it's a clear brief. Be specific, give context, show examples: the skill your best writers already have.
- Signal2 min read
What a “token” is, and why it's on your invoice.
A “token” is the small chunk of text AI reads and writes — about ¾ of a word. It's what the model's memory is measured in, and what you're billed for.
- Explainer5 min read
Fine-tune, retrieve, or just ask better.
Most “train it on our data” asks don't need training. A simple ladder — prompt, then ground (RAG), then fine-tune — tells you which one you actually need.
- Explainer5 min read
RAG is just giving AI an open book.
RAG in simple terms: don't hope the AI remembers — hand it the right documents and let it answer from the source, open-book style.
- Explainer5 min read
AI doesn’t lie — it guesses confidently.
Why Artificial Intelligence (AI) “hallucinates,” in plain English: it isn’t lying — it predicts likely words, and a confident guess can still be wrong.
- Explainer5 min read
What “agentic AI” actually means plainly.
Agentic AI isn't smarter answers — it's software that takes actions toward a goal. Here's what's real, and why it still needs a human in the loop.
