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Making sense of AI, for the rest of us.

Facts, stories and use cases. No breathless hype, no doom. AI is a tool: worth understanding, worth using well.

The BBC on people falling into AI delusion

A tool that mirrors you back tirelessly will amplify whatever you bring to it. Worth understanding, not panicking over.

v1.4. The whole assessment is now built mobile-first, because that's where most of you take it.

The comedy end of the spectrum, but the reporting is solid: what happens when an endlessly agreeable system meets a vulnerable user.

The antidote to the doom feed: AI pointed at a hard problem by people who understand it, doing something genuinely useful.

v0.x. The first version of the AI readiness assessment, born inside MindMap.

Louder framing than we'd use, but a real signal underneath. Best watched as a pair with the CNN clip from the opposite direction.

v1.2. The product formerly known as a lot of other names is now Splain.

Three products you've never heard of, all of which fed into what Splain is today.

A builder sounding the alarm about his own product. Take it seriously, and clock the incentive at the same time.

The first cloud-based version of the assessment. We learned more from its failures than from any replacement's successes.

A counterweight to the boardroom hype cycle, where the loudest AI voices often have the least hands-on contact with the tools.

Where it started: a folder called Thyself, and a lot of conviction it needed to exist.

The calmest voice in the game on why the same technology can be the best or worst thing, depending on how it's built and used.

A well-made short on the long-term safety argument. Worth a fair hearing, and worth keeping separate from this year's practical question.

v2.0. From today, every splainer carries a set of personalised safeguards into whatever AI tool you use.