Literacy on-ramp
AI Without the Hype
I start here because most AI content is either hype or fear. In this module I walk you through what these models actually are, what they genuinely do well, and where they fall on their face, so you can tell a parlor trick from something worth building on. You leave able to judge any AI claim on the evidence instead of the marketing.
What you will be able to do
- What a language model is actually doing, in plain terms
- How to spot the difference between a demo and a shippable capability
- Where AI reliably adds value today, and where it does not
- A simple test for evaluating any AI claim or tool
- 01What the machine is actually doing
The plain mechanics, in ninety seconds, because the mechanics explain every weird thing you have seen it do.
About 4 min
- 02Demo versus shippable
How to tell a thing that works on stage from a thing that will survive your Tuesday.
About 4 min
- 03Where it reliably pays, and where it faceplants
Two real studies that point in opposite directions, and what they jointly tell you about your own team.
About 4 min
- 04The test you can run on any AI claim
Four questions that survive every model release, so this module does not expire.
About 3 min