Foundations

Foundations

This is when not to use AI because the input itself is too sensitive

Sometimes the risk is not a wrong answer. It is handing a service the very document, conversation, or record the task depends on.

2 min read

Foundations

This is how to know when AI needs a current source

Some questions ask for an explanation. Others ask what is true right now. The difference decides whether a plausible answer is useful or stale.

2 min read

Foundations

This is how to tell what kind of answer AI is giving you

One confident paragraph can mix facts, inferences, suggestions, and unknowns. The useful skill is seeing the seams.

2 min read

Foundations

This is why AI agrees with you too easily

A polished agreement may be conversation behavior, not independent confirmation. Restate the problem neutrally and ask what evidence could disprove your preferred view.

2 min read

Foundations

This is how to think about what AI remembers

Current-chat context, optional memory, saved account history, and the brief you carry forward are different things. Treat them as separate boundaries.

2 min read

Foundations

This is why the same AI question can get different answers

Two answers to the same question can differ without either difference proving truth or failure. Compare what stayed stable, what varied, and what needs evidence.

2 min read

Foundations

This is how to tell what AI can and cannot see in an image

An image can support observations, suggest possibilities, and leave important facts unknowable. Ask AI to keep those categories separate.

2 min read

Foundations

This is how to think about kids and AI

Your kid may already be using it. The useful question is which uses, with how much supervision, and which details never belong in the chat.

2 min read

Foundations

This is how much to trust AI, decision by decision

Not a philosophy debate. A working dial: what to accept as-is, what to verify, and what AI never decides, sorted by what’s at stake.

2 min read

Foundations

This is how AI gets things wrong, and why it sounds so sure

It will invent a plausible answer rather than say "I don’t know," and it will do it in the same confident voice. Here’s the shape of the failure and how to live with it.

2 min read

Foundations

This is how AI actually works, in plain English

No math, no jargon, one honest mental model. Once you know what it’s actually doing, everything else on this site makes more sense.

2 min read

Foundations

You’re not late

Everyone quietly suspects everyone else already knows how to use AI. Here’s the same feeling from 1997, and why it was wrong then too.

3 min read